From 6051f0329ecf61ac0596c883d5a6f1b26c42ced8 Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Tue, 15 Sep 2020 14:40:50 +0200 Subject: [PATCH 01/23] Error handling of VS reader from .itp --- swarmcg/config.py | 1 + swarmcg/shared/vs_functions.py | 4 ++ swarmcg/swarmCG.py | 77 ++++++++++++++++++++++++++++++---- 3 files changed, 74 insertions(+), 8 deletions(-) create mode 100644 swarmcg/shared/vs_functions.py diff --git a/swarmcg/config.py b/swarmcg/config.py index c0eb77e..ba9248e 100644 --- a/swarmcg/config.py +++ b/swarmcg/config.py @@ -67,6 +67,7 @@ 'angle': [1, 2], 'dihedral': [1, 2, 4], 'dihedral_with_mult': [1, 4] + 'virtual_sitesn': [1] # these functions use 3 parameters, the last one being multiplicity (if it's omitted gromacs will use 1 by default, we reproduce this behavior) } diff --git a/swarmcg/shared/vs_functions.py b/swarmcg/shared/vs_functions.py new file mode 100644 index 0000000..4e117a4 --- /dev/null +++ b/swarmcg/shared/vs_functions.py @@ -0,0 +1,4 @@ +#Virtual sites function definition +def vsn_1(pos): + + return(vpos=[x,y,z]) \ No newline at end of file diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index 6e55127..35d8776 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -220,21 +220,23 @@ def read_cg_itp_file(ns, itp_lines): if itp_line != '' and not itp_line.startswith(';'): if bool(re.search('\[.*moleculetype.*\]', itp_line)): - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = True, False, False, False, False, False, False + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = True, False, False, False, False, False, False, False elif bool(re.search('\[.*atoms.*\]', itp_line)): - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = False, True, False, False, False, False, False + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, True, False, False, False, False, False, False elif bool(re.search('\[.*constraint.*\]', itp_line)): - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = False, False, True, False, False, False, False + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, True, False, False, False, False, False elif bool(re.search('\[.*bond.*\]', itp_line)): - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = False, False, False, True, False, False, False + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, True, False, False, False, False elif bool(re.search('\[.*angle.*\]', itp_line)): - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = False, False, False, False, True, False, False + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, False, True, False, False, False elif bool(re.search('\[.*dihedral.*\]', itp_line)): - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = False, False, False, False, False, True, False + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, False, False, True, False, False elif bool(re.search('\[.*exclusion.*\]', itp_line)): - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = False, False, False, False, False, False, True + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, False, False, False, True, False + elif bool(re.search('\[.*virtual_sitesn.*\]', itp_line)): + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, False, False, False, False, True elif bool(re.search('\[.*\]', itp_line)): # all other sections - r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion = False, False, False, False, False, False, False + r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, False, False, False, False, False else: sp_itp_line = itp_line.split() @@ -251,6 +253,14 @@ def read_cg_itp_file(ns, itp_lines): ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge), 'mass_and_eol': mass_and_eol}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis except IndexError: ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge)}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis + #Check if the atom index correspond to the length of the atoms list, + # if this check is passed it allow to do direct accesses within the list + if not len(ns.cg_itp['atoms']) == int(bead_id): + msg = ( + "Swarm-CG handles .itp files with atoms indexed consecutively starting from 1.\n" + "The atom {} does not follow this formatting.".format(bead_id) + ) + raise exceptions.MissformattedFile(msg) elif r_constraints: @@ -379,6 +389,57 @@ def read_cg_itp_file(ns, itp_lines): except IndexError: ns.cg_itp['dihedral'][ns.nb_dihedrals]['plt_id'].append('') + elif r_virtual: + # For user information we need to provide the number of VS. + # + # We need to take into account: the atom associated to the virtual site must be VT type + # + # We need to define the function types for the VSn + + #Read VS index, and VS function, list_cg_atoms + bead_id, vs_type, cg_atomlist = int(sp_itp_line[0])-1, sp_itp_line[1], [int(bid)-1 for bid in sp_itp_line[2:]] + + + #Check if the bead is defined in the atom list + if bead_id >= len(ns.cg_itp['atoms']): + msg = ( + "The bead index definition of the CG virtual sites {} in not defined" + " within in the atomlist".format(bead_id) + ) + raise exceptions.MissformattedFile(msg) + else: + #Check if the bead is defined as VS + if not ns.cg_itp['atoms'][bead_id]['bead_type'] == 'VS': + msg = ( + "The virtual site {} should be defined with bead type" + " VS".format(bead_id+1) + ) + raise exceptions.MissformattedFile(msg) + #Function is in the function list + if not vs_type in config.handled_functions['virtual_sitesn']: + msg = ( + "The definition of the CG virtual sites {} uses a function which is" + " not defined in the code ({}). Please check the .itp file or use " + "one of the functions defined within SwarmCG.".format(bead_id,vs_type) + ) + raise exceptions.MissformattedFile(msg) + + #The cg_atoms in list_cg_atoms + for bid in cg_atomlist: + if bid >= bead_id: + msg = ( + "The definition of the CG virtual sites {} includes atoms that " + "either they are not in the list or their index comes after the " + "index is higher than the one of the virtual site.".format(bead_id) + ) + raise exceptions.MissformattedFile(msg) + + try: + mass_and_eol = ' '.join(sp_itp_line[7:]) + ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge), 'mass_and_eol': mass_and_eol}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis + except IndexError: + ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge)}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis + elif r_exclusion: ns.cg_itp['exclusion'].append([int(bead_id)-1 for bead_id in sp_itp_line]) From 48f5c5f0b1021ebdb264aecc7ba7439c16fd5498 Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Tue, 15 Sep 2020 15:53:58 +0200 Subject: [PATCH 02/23] Added the options to write the VS in the itp output --- swarmcg/swarmCG.py | 37 +++++++++++++++++++------------------ 1 file changed, 19 insertions(+), 18 deletions(-) diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index 35d8776..8aa2401 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -212,7 +212,7 @@ def verify_handled_functions(geom, func_obj, line_obj): def read_cg_itp_file(ns, itp_lines): print('Reading Coarse-Grained (CG) ITP file') - ns.cg_itp = {'moleculetype': {'molname': '', 'nrexcl': 0}, 'atoms': [], 'constraint': [], 'bond': [], 'angle': [], 'dihedral': [], 'exclusion': []} + ns.cg_itp = {'moleculetype': {'molname': '', 'nrexcl': 0}, 'atoms': [], 'constraint': [], 'bond': [], 'angle': [], 'dihedral': [], 'exclusion': [], 'virtual_sitesn': []} ns.nb_constraints, ns.nb_bonds, ns.nb_angles, ns.nb_dihedrals = -1, -1, -1, -1 for i in range(len(itp_lines)): @@ -391,9 +391,6 @@ def read_cg_itp_file(ns, itp_lines): elif r_virtual: # For user information we need to provide the number of VS. - # - # We need to take into account: the atom associated to the virtual site must be VT type - # # We need to define the function types for the VSn #Read VS index, and VS function, list_cg_atoms @@ -409,22 +406,17 @@ def read_cg_itp_file(ns, itp_lines): raise exceptions.MissformattedFile(msg) else: #Check if the bead is defined as VS - if not ns.cg_itp['atoms'][bead_id]['bead_type'] == 'VS': + if ns.cg_itp['atoms'][bead_id]['bead_type'] != 'VS': msg = ( "The virtual site {} should be defined with bead type" " VS".format(bead_id+1) ) raise exceptions.MissformattedFile(msg) #Function is in the function list - if not vs_type in config.handled_functions['virtual_sitesn']: - msg = ( - "The definition of the CG virtual sites {} uses a function which is" - " not defined in the code ({}). Please check the .itp file or use " - "one of the functions defined within SwarmCG.".format(bead_id,vs_type) - ) - raise exceptions.MissformattedFile(msg) + func = verify_handled_functions('virtual_sitesn', vs_type, i + 1) + - #The cg_atoms in list_cg_atoms + #The cg_atoms in list_cg_atoms, checking that the indexes are lower than the one of the VS for bid in cg_atomlist: if bid >= bead_id: msg = ( @@ -434,11 +426,8 @@ def read_cg_itp_file(ns, itp_lines): ) raise exceptions.MissformattedFile(msg) - try: - mass_and_eol = ' '.join(sp_itp_line[7:]) - ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge), 'mass_and_eol': mass_and_eol}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis - except IndexError: - ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge)}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis + ns.cg_itp['virutal_sitesn'].append({'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist) + elif r_exclusion: @@ -889,6 +878,18 @@ def print_cg_itp_file(itp_obj, out_path_itp, print_sections=['constraint', 'bond else: fp.write('{0:<4} {1:>4} {6:>2} {2:>6} {3:>6} {4:<4} {5:9.5f}\n'.format(itp_obj['atoms'][i]['bead_id']+1, itp_obj['atoms'][i]['bead_type'], itp_obj['atoms'][i]['residue'], itp_obj['atoms'][i]['atom'], i+1, itp_obj['atoms'][i]['charge'], itp_obj['atoms'][i]['resnr'])) + fp.write('\n\n[ ]\n') + fp.write('; id type resnr residue atom cgnr charge mass\n\n') + + if len(itp_obj['virtual_sitesn']) > 0: + fp.write('\n\n[ virtual_sitesn ]\n') + for i in range(len(itp_obj['virtual_sitesn'])): + + fp.write('{0:<4} {1:>4} {}\n'.format( + itp_obj['virtual_sitesn'][i]['bead_id'] + 1, + itp_obj['virtual_sitesn'][i]['vs_type']), + ' '.join([str(bid+1) for bid in itp_obj['virtual_sitesn'][i]['atom_list']])) + if 'constraint' in print_sections and 'constraint' in itp_obj and len(itp_obj['constraint']) > 0: fp.write('\n\n[ constraints ]\n') fp.write('; i j funct length\n') From 79b5518c7b065d51801b444f9245ea60b4f1b1d7 Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Wed, 16 Sep 2020 12:51:37 +0200 Subject: [PATCH 03/23] CG trajectory builder --- swarmcg/swarmCG.py | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index 8aa2401..ed87ea3 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -1296,6 +1296,24 @@ def read_aa_traj(ns): return +def initialize_cg_traj(ns): + print('Building Coarse-Grained (CG) trajectory', flush=True) + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", + category=ImportWarning) # ignore warning: "bootstrap.py:219: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__" + ns.cg_universe2 = mda.Universe(ns.gro_input_basename, ns.gro_input_basename, in_memory=True, refresh_offsets=True, + guess_bonds=False) # setting guess_bonds=False disables angles, dihedrals and improper_dihedrals guessing, which is activated by default + #Here we need to extract the number of atoms, or a more refined method to extract only the elements on which we are interested + ns. + + # if len(ns.aa_universe.trajectory) > 20000: + # print(config.header_warning+'Your atomistic trajectory contains many frames, which increases computation time\nReasonably reducing the number of frames of your input AA trajectory won\'t affect results quality\n2k to 10k frames is usually enough, as long as behaviour and flexibility of your molecule are correctly described by your atomistic trajectory') + + return + +def map_aa2cg_traj(ns): + return + # use selected whole molecules as MDA atomgroups and make their coordinates whole, inplace, across the complete tAA rajectory def make_aa_traj_whole_for_selected_mols(ns): From 3e61eee62b8a2b75634c187c7e13e727a4918da1 Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Thu, 17 Sep 2020 16:09:00 +0200 Subject: [PATCH 04/23] Creation of the aa2cg_trajectory universe: need to fetch the atom mass in topology --- swarmcg/swarmCG.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index ed87ea3..bd7b7cf 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -1304,7 +1304,14 @@ def initialize_cg_traj(ns): ns.cg_universe2 = mda.Universe(ns.gro_input_basename, ns.gro_input_basename, in_memory=True, refresh_offsets=True, guess_bonds=False) # setting guess_bonds=False disables angles, dihedrals and improper_dihedrals guessing, which is activated by default #Here we need to extract the number of atoms, or a more refined method to extract only the elements on which we are interested - ns. + #We need to assume that the molecule we will study is located at the beginning of the file. This assumptions does not change much, as the atom names and weights can be taken from the itp file + sel = ns.cg_universe2.atoms[:len(ns.cg_itp['atoms'])] + #I generate a numpy array of the size np.zeros(len(ns.aa_universe.trajectory,len(ns.cg_itp['atoms']))) + coord = np.zeros((len(ns.aa_universe.trajectory),len(ns.cg_itp['atoms']),3)) + np.aa2cg_trajectory = mda.Merge(sel) + np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + + #Assigning to the new universe the masses related to the CG # if len(ns.aa_universe.trajectory) > 20000: # print(config.header_warning+'Your atomistic trajectory contains many frames, which increases computation time\nReasonably reducing the number of frames of your input AA trajectory won\'t affect results quality\n2k to 10k frames is usually enough, as long as behaviour and flexibility of your molecule are correctly described by your atomistic trajectory') From e59d5a71b83e00ef2673d1f45dca4f787e9c8102 Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Thu, 17 Sep 2020 19:27:18 +0200 Subject: [PATCH 05/23] Created a list for the masses associated to the atomtypes (ns.cg_atomtypes_mass) that must be used in case there is no definition of the atom mass in the itp file of the molecule we want to optimize via fetch_cg_mass_itp(ns) --- swarmcg/swarmCG.py | 49 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 49 insertions(+) diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index bd7b7cf..af63e3b 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -488,6 +488,51 @@ def read_cg_itp_file(ns, itp_lines): return +#This function reads the defaults masses associated to each atomtype loaded into the topology file +def fetch_cg_mass_itp(ns): + #Declaring the ns.cg_atomtypes = {} in order to retreive the mass of each particle whenever is missing by searching the type as arguments + ns.cg_atomtypes_mass = {} + #Parsing the topology file to find all the .itp included + list_itp = [] + with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename, 'r') as fp: + all_top_lines = fp.read().split('\n') + for line in all_top_lines: + if line.split()[0] == "#include": + #Reading the filename of the loaded .itps + aux = line.split()[1] + list_itp.append(aux[1:len(aux)-1]) + + #Reading all the atomtypes within each .itp found in the topology file + for itp_name in list_itp: + with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + itp_name, 'r') as fp: + itp_file = fp.read().split('\n') + + #Stripping all comments from the list of line + for i in range(len(itp_file)): + itp_file[i] = strip(itp_file[i],";") + + #Popping out all the empty lines + list_idx = [index for index, value in enumerate(itp_file) if value == ""] + list_idx.reverse() + for idx in list_idx: + itp_file.pop(idx) + + # Here a boolean checking if we are in a atomtypes section + bAtomTypes = False + + #The lines of the file should be now cleaned, therefore it is possible to skip all the checks to monitor empty lines + for line in itp_file: + words = line.split() + if bAtomTypes: + ns.cg_atomtypes_mass[words[0]] = float(words[1]) + + #Searching the atomtype keyword + if (words[0] == "[" and words[0] == "atomtypes" and words[0] == "]"): + bAtomTypes = True + elif words[0] == "[" and words[1] != "atomtypes": + bAtomTypes = False + + return # load CG beads from NDX-like file def read_ndx_atoms2beads(ns): @@ -1318,6 +1363,10 @@ def initialize_cg_traj(ns): return +#Strip the comments from the list +def strip(line,val): + return line[:line.find(val)] + def map_aa2cg_traj(ns): return From c3d10bb5dd12c01d9d22469dafa7c17d71ecab68 Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Mon, 21 Sep 2020 15:42:03 +0200 Subject: [PATCH 06/23] AA to CG trajectory conversion in map_aa2cg_traj(ns) --- swarmcg/optimize_model.py | 3 + swarmcg/swarmCG.py | 124 ++++++++++++++++++++++++++++++-------- 2 files changed, 102 insertions(+), 25 deletions(-) diff --git a/swarmcg/optimize_model.py b/swarmcg/optimize_model.py index 9d01829..1e1a9aa 100644 --- a/swarmcg/optimize_model.py +++ b/swarmcg/optimize_model.py @@ -187,6 +187,9 @@ def run(ns): print() + #Loading the mass of the atom-tpyes in case they are needed + scg.fetch_cg_mass_itp(ns) + # read starting CG ITP file with open(ns.cg_itp_filename, 'r') as fp: itp_lines = fp.read().split('\n') diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index af63e3b..6bc2adb 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -212,7 +212,7 @@ def verify_handled_functions(geom, func_obj, line_obj): def read_cg_itp_file(ns, itp_lines): print('Reading Coarse-Grained (CG) ITP file') - ns.cg_itp = {'moleculetype': {'molname': '', 'nrexcl': 0}, 'atoms': [], 'constraint': [], 'bond': [], 'angle': [], 'dihedral': [], 'exclusion': [], 'virtual_sitesn': []} + ns.cg_itp = {'moleculetype': {'molname': '', 'nrexcl': 0}, 'atoms': [], 'constraint': [], 'bond': [], 'angle': [], 'dihedral': [], 'exclusion': [], 'virtual_sitesn': {}} ns.nb_constraints, ns.nb_bonds, ns.nb_angles, ns.nb_dihedrals = -1, -1, -1, -1 for i in range(len(itp_lines)): @@ -239,22 +239,42 @@ def read_cg_itp_file(ns, itp_lines): r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, False, False, False, False, False else: - sp_itp_line = itp_line.split() + #Stripping comments from the input line + aux_itp_line = strip(itp_line,";") + sp_itp_line = aux_itp_line.split() if r_moleculetype: ns.cg_itp['moleculetype']['molname'], ns.cg_itp['moleculetype']['nrexcl'] = sp_itp_line[0], int(sp_itp_line[1]) elif r_atoms: + if len(sp_itp_line) == 7: + bead_id, bead_type, resnr, residue, atom, cgnr, charge = sp_itp_line[:7] + # As the mass is not defined we look into its definition + try: + mass = ns.cg_atomtypes_mass[bead_type] + except: + msg = ( + "The bead_type {}, is not contained into the definition of the " + "force field file" + ).format(bead_type) + raise exceptions.MissformattedFile(msg) + + elif len(sp_itp_line) == 8: + bead_id, bead_type, resnr, residue, atom, cgnr, charge, mass = sp_itp_line[:8] + else: + # + msg = ( + "The atom description form the input itp file: \n\n {} \n\n" + "does not contain the correct number of input. Please insert " + "the following information: \n\n bead_id, bead_type, resnr, " + "residue, atom, cgnr, charge, [mass] \n\n".format(itp_line) + ) + raise exceptions.MissformattedFile(msg) + + #Assignment of the variables value + ns.cg_itp['atoms'].append({'bead_id': int(bead_id) - 1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue,'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge), 'mass': float(mass)}) - bead_id, bead_type, resnr, residue, atom, cgnr, charge = sp_itp_line[:7] - try: - mass_and_eol = ' '.join(sp_itp_line[7:]) - ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge), 'mass_and_eol': mass_and_eol}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis - except IndexError: - ns.cg_itp['atoms'].append({'bead_id': int(bead_id)-1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue, 'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge)}) # retrieve indexing from 0 for CG beads IDS for MDAnalysis - #Check if the atom index correspond to the length of the atoms list, - # if this check is passed it allow to do direct accesses within the list if not len(ns.cg_itp['atoms']) == int(bead_id): msg = ( "Swarm-CG handles .itp files with atoms indexed consecutively starting from 1.\n" @@ -426,7 +446,8 @@ def read_cg_itp_file(ns, itp_lines): ) raise exceptions.MissformattedFile(msg) - ns.cg_itp['virutal_sitesn'].append({'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist) + # ns.cg_itp['virutal_sitesn'].append({'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist}) + ns.cg_itp['virutal_sitesn'][bead_id] = {'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist} elif r_exclusion: @@ -1343,20 +1364,32 @@ def read_aa_traj(ns): def initialize_cg_traj(ns): print('Building Coarse-Grained (CG) trajectory', flush=True) - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", - category=ImportWarning) # ignore warning: "bootstrap.py:219: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__" - ns.cg_universe2 = mda.Universe(ns.gro_input_basename, ns.gro_input_basename, in_memory=True, refresh_offsets=True, - guess_bonds=False) # setting guess_bonds=False disables angles, dihedrals and improper_dihedrals guessing, which is activated by default - #Here we need to extract the number of atoms, or a more refined method to extract only the elements on which we are interested - #We need to assume that the molecule we will study is located at the beginning of the file. This assumptions does not change much, as the atom names and weights can be taken from the itp file - sel = ns.cg_universe2.atoms[:len(ns.cg_itp['atoms'])] - #I generate a numpy array of the size np.zeros(len(ns.aa_universe.trajectory,len(ns.cg_itp['atoms']))) - coord = np.zeros((len(ns.aa_universe.trajectory),len(ns.cg_itp['atoms']),3)) - np.aa2cg_trajectory = mda.Merge(sel) - np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) - - #Assigning to the new universe the masses related to the CG + # with warnings.catch_warnings(): + # warnings.filterwarnings("ignore", + # category=ImportWarning) # ignore warning: "bootstrap.py:219: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__" + # ns.cg_universe2 = mda.Universe(ns.gro_input_basename, ns.gro_input_basename, in_memory=True, refresh_offsets=True, + # guess_bonds=False) # setting guess_bonds=False disables angles, dihedrals and improper_dihedrals guessing, which is activated by default + # Here we need to extract the number of atoms, or a more refined method to extract only the elements on which we are interested + # We need to assume that the molecule we will study is located at the beginning of the file. This assumptions does not change much, as the atom names and weights can be taken from the itp file + # sel = ns.cg_universe2.atoms[:len(ns.cg_itp['atoms'])] + # I generate a numpy array of the size np.zeros(len(ns.aa_universe.trajectory,len(ns.cg_itp['atoms']))) + # coord = np.zeros((len(ns.aa_universe.trajectory),len(ns.cg_itp['atoms']),3)) + # np.aa2cg_trajectory = mda.Merge(sel) + # np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + masses = np.array([val['mass'] for val in ns.cg_itp['atoms']]) + names = np.array([val['atom'] for val in ns.cg_itp['atoms']]) + resname = np.array([val['residue'] for val in ns.cg_itp['atoms']]) + resid = np.array([val['resnr'] for val in ns.cg_itp['atoms']]) + nr = len(list(set([val['resnr'] for val in ns.cg_itp['atoms']]))) + np.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']), nr, resindex=resid, trajectory=True) + np.aa2cg_trajectory.add_TopologyAttr('masses') + np.aa2cg_trajectory._topology.masses.values = np.array(masses) + np.aa2cg_trajectory.add_TopologyAttr('name') + np.aa2cg_trajectory._topology.names.values = names + np.aa2cg_trajectory.add_TopologyAttr('resnames') + np.aa2cg_trajectory._topology.resnames.values = resname + +#Assigning to the new universe the masses related to the CG # if len(ns.aa_universe.trajectory) > 20000: # print(config.header_warning+'Your atomistic trajectory contains many frames, which increases computation time\nReasonably reducing the number of frames of your input AA trajectory won\'t affect results quality\n2k to 10k frames is usually enough, as long as behaviour and flexibility of your molecule are correctly described by your atomistic trajectory') @@ -1368,6 +1401,44 @@ def strip(line,val): return line[:line.find(val)] def map_aa2cg_traj(ns): + # for i in range(len(ns.aa_universe.trajectory)): + # I will estimate the coordinates of each bead within all the frames using the iterator of mda and the function center_of_mass() + coord = np.zeros((len(ns.aa_universe.trajectory), len(ns.cg_itp['atoms']), 3)) + for j in range(len(ns.cg_itp['atoms'])): + #Check if the atomtype of the cg is related to a VS + if ns.cg_itp['atoms'][j]['bead_type'] != 'VS': + #The bead is not a VS therefore must be evaluated starting from the AA + la = ns.all_beads[j]['atoms_id'] + sel = ns.aa_universe.atoms[la] + traj = [] + for fr in ns.aa_universe.trajectory: + traj.append(sel.center_of_mass()) + coord[:,j,:] = np.array(traj) + + + np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + + for j in range(len(ns.cg_itp['atoms'])): + if ns.cg_itp['atoms'][j]['bead_type'] == 'VS': + #The bead is a VS, therefore must be evaluated from the coordinates of the previous atoms + # [val['atom_list'] for val in ns.cg_itp['virutal_sitesn'] if val['bead_id'] == j][0] + la = ns.cg_itp['virutal_sitesn'][j]['atom_list'] + # VS_TYPE = 1 -> Center of Geometry + # VS_TYPE = 2 -> Center of Mass + # VS_TYPE = 3 -> Center of Weights (for each atom a weight must be given in the definition of the VS) + traj = [] + sel = ns.aa2cg_trajectory.atoms[la] + if ns.cg_itp['virutal_sitesn'][j]['vs_type'] == 1: + for fr in ns.aa2cg_trajectory.trajectory: + traj.append(sel.center_of_geometry()) + elif ns.cg_itp['virutal_sitesn'][j]['vs_type'] == 2: + for fr in ns.aa2cg_trajectory.trajectory: + traj.append(sel.center_of_mass()) + + coord[:, j, :] = np.array(traj) + #Final CG-coordinates + np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + return # use selected whole molecules as MDA atomgroups and make their coordinates whole, inplace, across the complete tAA rajectory @@ -1844,6 +1915,9 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False row_wise_ranges = {} row_wise_ranges['max_range_constraints'], row_wise_ranges['max_range_bonds'], row_wise_ranges['max_range_angles'], row_wise_ranges['max_range_dihedrals'] = 0, 0, 0, 0 + #Loading the mass of the atom-tpyes in case they are needed + fetch_cg_mass_itp() + # read ITP file to extract bonds, angles and dihedrals to compare OR get it from the optimization script to avoid re-reading trajectory + calculating hists at each execution # for reading ITP, groups are created by separating bonds/angles/etc lines by a return (\n) or a comment (;) if manual_mode: From 13de889df4e2a77c650c26ae1573e7aa52e3528f Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Mon, 21 Sep 2020 17:15:41 +0200 Subject: [PATCH 07/23] new aa2cg distribution estimation and call of the conversion --- swarmcg/config.py | 2 +- swarmcg/optimize_model.py | 7 +++++++ swarmcg/swarmCG.py | 36 +++++++++++++++++------------------- 3 files changed, 25 insertions(+), 20 deletions(-) diff --git a/swarmcg/config.py b/swarmcg/config.py index ba9248e..2940186 100644 --- a/swarmcg/config.py +++ b/swarmcg/config.py @@ -67,7 +67,7 @@ 'angle': [1, 2], 'dihedral': [1, 2, 4], 'dihedral_with_mult': [1, 4] - 'virtual_sitesn': [1] + 'virtual_sitesn': [1,2] # these functions use 3 parameters, the last one being multiplicity (if it's omitted gromacs will use 1 by default, we reproduce this behavior) } diff --git a/swarmcg/optimize_model.py b/swarmcg/optimize_model.py index 1e1a9aa..d9863ae 100644 --- a/swarmcg/optimize_model.py +++ b/swarmcg/optimize_model.py @@ -264,6 +264,13 @@ def run(ns): # for each CG bead, create atom groups for trajectory geoms calculation using mass and atom weights across beads scg.get_beads_MDA_atomgroups(ns) + # mapping the trajectory aa2cg + print('Initializing the mapped trajectory') + scg.initialize_cg_traj(ns) + print('Mapping the trajectory from AA to CG representation') + scg.map_aa2cg_traj(ns) + + ns.gyr_aa_mapped, ns.gyr_aa_mapped_std = None, None # will be computed one single time with model evaluation script ns.sasa_aa_mapped, ns.sasa_aa_mapped_std = None, None # will be computed one single time with model evaluation script diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index 6bc2adb..0231eda 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -186,6 +186,7 @@ def load_aa_data(ns): # check if functions present in CG ITP file can be used by this program, if not we throw an error +# Definitions containted in config.py def verify_handled_functions(geom, func_obj, line_obj): try: @@ -433,7 +434,7 @@ def read_cg_itp_file(ns, itp_lines): ) raise exceptions.MissformattedFile(msg) #Function is in the function list - func = verify_handled_functions('virtual_sitesn', vs_type, i + 1) + func = verify_handled_functions('virtual_sitesn', vs_type, i) #The cg_atoms in list_cg_atoms, checking that the indexes are lower than the one of the VS @@ -1497,17 +1498,15 @@ def create_bins_and_dist_matrices(ns, constraints=True): # calculate bonds distribution from AA trajectory def get_AA_bonds_distrib(ns, beads_ids, grp_type, grp_nb): - bond_values = np.empty(len(ns.aa_universe.trajectory) * len(beads_ids)) + bond_values = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2 = beads_ids[i] # print('bead_id_1:', bead_id_1, 'using atoms:', ns.mda_beads_atom_grps[bead_id_1].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_1]) # print('bead_id_2:', bead_id_2, 'using atoms:', ns.mda_beads_atom_grps[bead_id_2].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_2]) # print() frame_nb = 0 - for _ in ns.aa_universe.trajectory: - pos_1 = ns.mda_beads_atom_grps[bead_id_1].center(ns.mda_weights_atom_grps[bead_id_1], pbc=None, compound='group') # no need for PBC handling, trajectories were made wholes for the molecule - pos_2 = ns.mda_beads_atom_grps[bead_id_2].center(ns.mda_weights_atom_grps[bead_id_2], pbc=None, compound='group') - bond_values[len(ns.aa_universe.trajectory)*i+frame_nb] = mda.lib.distances.calc_bonds(pos_1, pos_2, backend=ns.mda_backend, box=None) / 10 # retrieve nm + for _ in ns.aa2cg_trajectory.trajectory: + bond_values[len(ns.aa2cg_trajectory.trajectory)*i+frame_nb] = mda.lib.distances.calc_bonds(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm frame_nb += 1 bond_avg_init = round(np.average(bond_values), 3) @@ -1565,15 +1564,12 @@ def get_AA_bonds_distrib(ns, beads_ids, grp_type, grp_nb): # calculate angles distribution from AA trajectory def get_AA_angles_distrib(ns, beads_ids): - angle_values_rad = np.empty(len(ns.aa_universe.trajectory) * len(beads_ids)) + angle_values_rad = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3 = beads_ids[i] frame_nb = 0 - for _ in ns.aa_universe.trajectory: - pos_1 = ns.mda_beads_atom_grps[bead_id_1].center(ns.mda_weights_atom_grps[bead_id_1], pbc=None, compound='group') # no need for PBC handling, trajectories were made wholes for the molecule - pos_2 = ns.mda_beads_atom_grps[bead_id_2].center(ns.mda_weights_atom_grps[bead_id_2], pbc=None, compound='group') - pos_3 = ns.mda_beads_atom_grps[bead_id_3].center(ns.mda_weights_atom_grps[bead_id_3], pbc=None, compound='group') - angle_values_rad[len(ns.aa_universe.trajectory)*i+frame_nb] = mda.lib.distances.calc_angles(pos_1, pos_2, pos_3, backend=ns.mda_backend, box=None) + for _ in ns.aa2cg_trajectory.trajectory: + angle_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+frame_nb] = mda.lib.distances.calc_angles(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, backend=ns.mda_backend, box=None) frame_nb += 1 angle_values_deg = np.rad2deg(angle_values_rad) @@ -1586,16 +1582,12 @@ def get_AA_angles_distrib(ns, beads_ids): # calculate dihedrals distribution from AA trajectory def get_AA_dihedrals_distrib(ns, beads_ids): - dihedral_values_rad = np.empty(len(ns.aa_universe.trajectory) * len(beads_ids)) + dihedral_values_rad = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3, bead_id_4 = beads_ids[i] frame_nb = 0 - for _ in ns.aa_universe.trajectory: - pos_1 = ns.mda_beads_atom_grps[bead_id_1].center(ns.mda_weights_atom_grps[bead_id_1], pbc=None, compound='group') # no need for PBC handling, trajectories were made wholes for the molecule - pos_2 = ns.mda_beads_atom_grps[bead_id_2].center(ns.mda_weights_atom_grps[bead_id_2], pbc=None, compound='group') - pos_3 = ns.mda_beads_atom_grps[bead_id_3].center(ns.mda_weights_atom_grps[bead_id_3], pbc=None, compound='group') - pos_4 = ns.mda_beads_atom_grps[bead_id_4].center(ns.mda_weights_atom_grps[bead_id_4], pbc=None, compound='group') - dihedral_values_rad[len(ns.aa_universe.trajectory)*i+frame_nb] = mda.lib.distances.calc_dihedrals(pos_1, pos_2, pos_3, pos_4, backend=ns.mda_backend, box=None) + for _ in ns.aa2cg_trajectory.trajectory: + dihedral_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+frame_nb] = mda.lib.distances.calc_dihedrals(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, ns.aa2cg_trajectory.atoms[bead_id_4].position, backend=ns.mda_backend, box=None) frame_nb += 1 dihedral_values_deg = np.rad2deg(dihedral_values_rad) @@ -1945,6 +1937,12 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False # for each CG bead, create atom groups for trajectory geoms calculation using mass and atom weights across beads get_beads_MDA_atomgroups(ns) + # mapping the trajectory aa2cg + print('Initializing the mapped trajectory') + scg.initialize_cg_traj(ns) + print('Mapping the trajectory from AA to CG representation') + scg.map_aa2cg_traj(ns) + if ns.atom_only: compute_Rg(ns, traj_type='AA') print() From da781818b8aef84368edf106b3a1a2c9b512ef3d Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Wed, 23 Sep 2020 12:13:45 +0200 Subject: [PATCH 08/23] Code working on evaluate_model (VS not tested) --- G1_DATA/cg_model.itp | 56 ++++---- G1_DATA/martini_v2.0_PEO_PS_CNP.itp | 4 + swarmcg/__init__.py | 2 +- swarmcg/analyze_optimization.py | 2 + swarmcg/config.py | 6 +- swarmcg/evaluate_model.py | 12 +- swarmcg/optimize_model.py | 2 + swarmcg/swarmCG.py | 197 ++++++++++++++++------------ 8 files changed, 164 insertions(+), 117 deletions(-) diff --git a/G1_DATA/cg_model.itp b/G1_DATA/cg_model.itp index c7c2461..1b765d5 100644 --- a/G1_DATA/cg_model.itp +++ b/G1_DATA/cg_model.itp @@ -7,31 +7,32 @@ G1 1 ; id type resnr residue atom cgnr charge 1 N0 1 G1 A1 1 0.00000 -2 N0 2 G1 A2 2 0.00000 -3 Nda 3 G1 A3 3 0.00000 -4 N0 4 G1 A4 4 0.00000 -5 Nda 5 G1 A5 5 0.00000 -6 Qd 6 G1 A6 6 1.00000 -7 Nda 7 G1 A7 7 0.00000 -8 Qd 8 G1 A8 8 1.00000 -9 Nda 9 G1 A9 9 0.00000 -10 N0 10 G1 A10 10 0.00000 -11 Nda 11 G1 A11 11 0.00000 -12 Qd 12 G1 A12 12 1.00000 -13 Nda 13 G1 A13 13 0.00000 -14 Qd 14 G1 A14 14 1.00000 -15 Nda 15 G1 A15 15 0.00000 -16 N0 16 G1 A16 16 0.00000 -17 Nda 17 G1 A17 17 0.00000 -18 Qd 18 G1 A18 18 1.00000 -19 Nda 19 G1 A19 19 0.00000 -20 Qd 20 G1 A20 20 1.00000 -21 Nda 21 G1 A21 21 0.00000 -22 N0 22 G1 A22 22 0.00000 -23 Nda 23 G1 A23 23 0.00000 -24 Qd 24 G1 A24 24 1.00000 -25 Nda 25 G1 A25 25 0.00000 -26 Qd 26 G1 A26 26 1.00000 +2 N0 1 G1 A2 2 0.00000 +3 Nda 1 G1 A3 3 0.00000 +4 N0 1 G1 A4 4 0.00000 +5 Nda 1 G1 A5 5 0.00000 +6 Qd 1 G1 A6 6 1.00000 +7 Nda 1 G1 A7 7 0.00000 +8 Qd 1 G1 A8 8 1.00000 +9 Nda 1 G1 A9 9 0.00000 +10 N0 1 G1 A10 10 0.00000 +11 Nda 1 G1 A11 11 0.00000 +12 Qd 1 G1 A12 12 1.00000 +13 Nda 1 G1 A13 13 0.00000 +14 Qd 1 G1 A14 14 1.00000 +15 Nda 1 G1 A15 15 0.00000 +16 N0 1 G1 A16 16 0.00000 +17 Nda 1 G1 A17 17 0.00000 +18 Qd 1 G1 A18 18 1.00000 +19 Nda 1 G1 A19 19 0.00000 +20 Qd 1 G1 A20 20 1.00000 +21 Nda 1 G1 A21 21 0.00000 +22 N0 1 G1 A22 22 0.00000 +23 Nda 1 G1 A23 23 0.00000 +24 Qd 1 G1 A24 24 1.00000 +25 Nda 1 G1 A25 25 0.00000 +26 Qd 1 G1 A26 26 1.00000 +27 VS 1 G1 VVV 27 1.00000 [ bonds ] @@ -70,6 +71,9 @@ G1 1 23 24 1 0 0 ; B4 25 26 1 0 0 ; B4 +; bond VS + 1 27 1 0 0 ; B4 + [ angles ] ; i j k funct angle force.c. @@ -114,3 +118,5 @@ G1 1 22 23 24 2 180 0 ; A5 22 25 26 2 180 0 ; A5 +[ virtual_sitesn ] +27 2 10 11 12 diff --git a/G1_DATA/martini_v2.0_PEO_PS_CNP.itp b/G1_DATA/martini_v2.0_PEO_PS_CNP.itp index a101b30..e6ff3be 100644 --- a/G1_DATA/martini_v2.0_PEO_PS_CNP.itp +++ b/G1_DATA/martini_v2.0_PEO_PS_CNP.itp @@ -120,6 +120,10 @@ SCY 45.0 0.000 A 0.0 0.0 ; backbone bead ; PEO and CiEj surfactants EO 45.0 0.000 A 0.0 0.0 +; VS +VS 0.0 0.000 V 0.0 0.0 + + [ nonbond_params ] diff --git a/swarmcg/__init__.py b/swarmcg/__init__.py index 218644a..d6830a1 100644 --- a/swarmcg/__init__.py +++ b/swarmcg/__init__.py @@ -1 +1 @@ -__version__ = 'v1.1.2' \ No newline at end of file +__version__ = '1.1.2T' diff --git a/swarmcg/analyze_optimization.py b/swarmcg/analyze_optimization.py index 3e8185b..a8a36d4 100644 --- a/swarmcg/analyze_optimization.py +++ b/swarmcg/analyze_optimization.py @@ -662,3 +662,5 @@ def main(): run(ns) +if __name__ == "__main__": + main() diff --git a/swarmcg/config.py b/swarmcg/config.py index 2940186..d02dd13 100644 --- a/swarmcg/config.py +++ b/swarmcg/config.py @@ -62,12 +62,12 @@ # TODO: handle dihedral function 9 correctly so that different potentials can be stacked # TODO: for the same beads -- this is the primary purpose of function 9 !! handled_functions = { - 'contraint': [1], + 'constraint': [1], 'bond': [1], 'angle': [1, 2], 'dihedral': [1, 2, 4], - 'dihedral_with_mult': [1, 4] - 'virtual_sitesn': [1,2] + 'dihedral_with_mult': [1, 4], + 'virtual_sitesn': [1,2], # these functions use 3 parameters, the last one being multiplicity (if it's omitted gromacs will use 1 by default, we reproduce this behavior) } diff --git a/swarmcg/evaluate_model.py b/swarmcg/evaluate_model.py index 0d99ab8..c502f39 100644 --- a/swarmcg/evaluate_model.py +++ b/swarmcg/evaluate_model.py @@ -25,6 +25,10 @@ def run(ns): # TODO: make it possible to feed a delta for Rg in case the model has scaling ? + # get basenames for simulation files + ns.cg_itp_basename = os.path.basename(ns.cg_itp_filename) + ns.top_input_basename = os.path.basename(ns.top_input_filename) + ns.molname_in = None # TODO: arguments that exist only in the scope of optimization (useless for manual model evaluation) -- but this could be modified to be allowed to evaluate models in mixed membranes, averaging distribs for given molecule name only ns.gyr_aa_mapped, ns.gyr_aa_mapped_std = None, None # ns.sasa_aa_mapped, ns.sasa_aa_mapped_std = None, None @@ -128,6 +132,9 @@ def main(): help='XTC file of your CG trajectory (omit for solo AA inspection)', type=str, default=config.metavar_cg_traj, metavar=' ' + scg.par_wrap(config.metavar_cg_traj)) + required_args.add_argument('-cg_top', dest='top_input_filename', + help='TOP file used for iterative simulation', type=str, + default='system.top', metavar=' (system.top)') # required_args.add_argument('-figmolname', dest='figmolname', help='TODO REMOVE', type=str, required=True) # TODO: remove, this was just for figures optional_args = args_parser.add_argument_group(bullet + 'CG MODEL SCALING') @@ -201,4 +208,7 @@ def main(): print('Working directory:', os.getcwd()) print('Command line:', input_cmdline) - run(ns) \ No newline at end of file + run(ns) + +if __name__ == "__main__": + main() diff --git a/swarmcg/optimize_model.py b/swarmcg/optimize_model.py index d9863ae..463b409 100644 --- a/swarmcg/optimize_model.py +++ b/swarmcg/optimize_model.py @@ -745,3 +745,5 @@ def main(): run(ns) +if __name__ == "__main__": + main() diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index 0231eda..e150c90 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -241,7 +241,7 @@ def read_cg_itp_file(ns, itp_lines): else: #Stripping comments from the input line - aux_itp_line = strip(itp_line,";") + aux_itp_line = strip_comment(itp_line,";") sp_itp_line = aux_itp_line.split() if r_moleculetype: @@ -427,7 +427,7 @@ def read_cg_itp_file(ns, itp_lines): raise exceptions.MissformattedFile(msg) else: #Check if the bead is defined as VS - if ns.cg_itp['atoms'][bead_id]['bead_type'] != 'VS': + if ns.cg_itp['atoms'][bead_id]['bead_type'] != 'VS': msg = ( "The virtual site {} should be defined with bead type" " VS".format(bead_id+1) @@ -447,8 +447,8 @@ def read_cg_itp_file(ns, itp_lines): ) raise exceptions.MissformattedFile(msg) - # ns.cg_itp['virutal_sitesn'].append({'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist}) - ns.cg_itp['virutal_sitesn'][bead_id] = {'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist} + # ns.cg_itp['virtual_sitesn'].append({'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist}) + ns.cg_itp['virtual_sitesn'][bead_id] = {'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist} elif r_exclusion: @@ -459,12 +459,13 @@ def read_cg_itp_file(ns, itp_lines): # TODO: make these messages more clear and CORRECT for the dihedral function handling -- also explain this is the current Opti.CG implementation, function 9 might come in next version # TODO: check what kind of error or processing is done when a correct line is duplicated within a group ?? probably it goes on in a bad way - msg = ( - f"In the provided CG ITP file {geom} have been grouped, but {geom} group " - f"{str(grp_geom + 1)} holds lines that have different parameters. Parameters should be " - f"identical within a group, only CG beads IDs should differ. " - f"Please correct the CG ITP file and separate groups using a blank or commented line" - ) + +# msg = ( +# f"In the provided CG ITP file {geom} have been grouped, but {geom} group " +# f"{str(grp_geom + 1)} holds lines that have different parameters. Parameters should be " +# f"identical within a group, only CG beads IDs should differ. " +# f"Please correct the CG ITP file and separate groups using a blank or commented line" +# ) for geom in ['constraint']: # constraints only for grp_geom in range(len(ns.cg_itp[geom])): for var in ['funct', 'value']: @@ -510,14 +511,33 @@ def read_cg_itp_file(ns, itp_lines): return +def pop_empty_lines(file): + # Popping out all the empty lines + list_idx = [value for value in range(len(file)) if file[value] == ''] + list_idx.reverse() + for idx in list_idx: + file.pop(idx) + + return + #This function reads the defaults masses associated to each atomtype loaded into the topology file def fetch_cg_mass_itp(ns): #Declaring the ns.cg_atomtypes = {} in order to retreive the mass of each particle whenever is missing by searching the type as arguments ns.cg_atomtypes_mass = {} #Parsing the topology file to find all the .itp included list_itp = [] - with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename, 'r') as fp: - all_top_lines = fp.read().split('\n') + + # Checking if the namespaces contains the folder specs. + # This is done to distinguish between optimize and evaluate models + if hasattr(ns,'exec_folder') and hasattr(config,'input_sim_files_dirname'): + with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename, 'r') as fp: + all_top_lines = fp.read().split('\n') + else: + with open( ns.top_input_basename, 'r') as fp: + all_top_lines = fp.read().split('\n') + + pop_empty_lines(all_top_lines) + for line in all_top_lines: if line.split()[0] == "#include": #Reading the filename of the loaded .itps @@ -526,15 +546,20 @@ def fetch_cg_mass_itp(ns): #Reading all the atomtypes within each .itp found in the topology file for itp_name in list_itp: - with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + itp_name, 'r') as fp: - itp_file = fp.read().split('\n') + if hasattr(ns, 'exec_folder') and hasattr(config, 'input_sim_files_dirname'): + with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + itp_name, 'r') as fp: + itp_file = fp.read().split('\n') + else: + with open(itp_name, 'r') as fp: + itp_file = fp.read().split('\n') + #Stripping all comments from the list of line for i in range(len(itp_file)): - itp_file[i] = strip(itp_file[i],";") + itp_file[i] = strip_comment(itp_file[i],";") #Popping out all the empty lines - list_idx = [index for index, value in enumerate(itp_file) if value == ""] + list_idx = [value for value in range(len(itp_file)) if itp_file[value] == ''] list_idx.reverse() for idx in list_idx: itp_file.pop(idx) @@ -544,15 +569,20 @@ def fetch_cg_mass_itp(ns): #The lines of the file should be now cleaned, therefore it is possible to skip all the checks to monitor empty lines for line in itp_file: - words = line.split() - if bAtomTypes: - ns.cg_atomtypes_mass[words[0]] = float(words[1]) + if len(line.split()) != 0: + words = line.split() + #Searching the atomtype keyword + if words[0] == "[": + if words[1] == "atomtypes": + bAtomTypes = True + elif words[1] != "atomtypes": + bAtomTypes = False + continue + if bAtomTypes: + ns.cg_atomtypes_mass[words[0]] = float(words[1]) + else: + break - #Searching the atomtype keyword - if (words[0] == "[" and words[0] == "atomtypes" and words[0] == "]"): - bAtomTypes = True - elif words[0] == "[" and words[1] != "atomtypes": - bAtomTypes = False return @@ -674,17 +704,15 @@ def compute_Rg(ns, traj_type): elif traj_type == 'AA_mapped': gyr_aa_mapped = np.empty(len(ns.aa_universe.trajectory)) - frame_nb = 0 total_mass = sum([ns.cg_universe.atoms[bead_id].mass for bead_id in range(len(ns.cg_itp['atoms']))]) beads_masses = np.array([np.array([ns.cg_universe.atoms[bead_id].mass]) for bead_id in range(len(ns.cg_itp['atoms']))]) # print('BEADS MASSES CG for Rg calculation AA-mapped:\n', beads_masses) - for _ in ns.aa_universe.trajectory: + for ts in ns.aa_universe.trajectory: mapped_pos = np.array([ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None, compound='group') for bead_id in range(len(ns.cg_itp['atoms']))]) com = np.sum(beads_masses * mapped_pos, axis=0) / total_mass mapped_pos_dist_com = mda.lib.distances.distance_array(com, mapped_pos, backend=ns.mda_backend) - gyr_aa_mapped[frame_nb] = np.sqrt(np.sum(beads_masses.reshape(1,len(beads_masses)) * np.power(mapped_pos_dist_com, 2)) / total_mass) - frame_nb += 1 + gyr_aa_mapped[ts.frame] = np.sqrt(np.sum(beads_masses.reshape(1,len(beads_masses)) * np.power(mapped_pos_dist_com, 2)) / total_mass) ns.gyr_aa_mapped = round(np.average(gyr_aa_mapped)/10 + ns.aa_rg_offset, 3) # retrieve nm ns.gyr_aa_mapped_std = round(np.std(gyr_aa_mapped)/10, 3) # retrieve nm @@ -1375,20 +1403,24 @@ def initialize_cg_traj(ns): # sel = ns.cg_universe2.atoms[:len(ns.cg_itp['atoms'])] # I generate a numpy array of the size np.zeros(len(ns.aa_universe.trajectory,len(ns.cg_itp['atoms']))) # coord = np.zeros((len(ns.aa_universe.trajectory),len(ns.cg_itp['atoms']),3)) - # np.aa2cg_trajectory = mda.Merge(sel) - # np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + # ns.aa2cg_trajectory = mda.Merge(sel) + # ns.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) masses = np.array([val['mass'] for val in ns.cg_itp['atoms']]) names = np.array([val['atom'] for val in ns.cg_itp['atoms']]) resname = np.array([val['residue'] for val in ns.cg_itp['atoms']]) resid = np.array([val['resnr'] for val in ns.cg_itp['atoms']]) nr = len(list(set([val['resnr'] for val in ns.cg_itp['atoms']]))) - np.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']), nr, resindex=resid, trajectory=True) - np.aa2cg_trajectory.add_TopologyAttr('masses') - np.aa2cg_trajectory._topology.masses.values = np.array(masses) - np.aa2cg_trajectory.add_TopologyAttr('name') - np.aa2cg_trajectory._topology.names.values = names - np.aa2cg_trajectory.add_TopologyAttr('resnames') - np.aa2cg_trajectory._topology.resnames.values = resname + print(list(set([val['resnr'] for val in ns.cg_itp['atoms']]))) + print(nr) + ns.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']),n_residues=nr,atom_resindex=resid,n_segments=1,residue_segindex=np.ones(nr), trajectory=True) + # ns.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']), 1,n_residues=nr,atom_resindex=resid,n_segments=1,residue_segindex=np.ones(nr), trajectory=True) + # ns.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']), nr, resindex=resid, trajectory=True) + ns.aa2cg_trajectory.add_TopologyAttr('masses') + ns.aa2cg_trajectory._topology.masses.values = np.array(masses) + ns.aa2cg_trajectory.add_TopologyAttr('name') + ns.aa2cg_trajectory._topology.names.values = names + ns.aa2cg_trajectory.add_TopologyAttr('resnames') + ns.aa2cg_trajectory._topology.resnames.values = resname #Assigning to the new universe the masses related to the CG @@ -1398,47 +1430,50 @@ def initialize_cg_traj(ns): return #Strip the comments from the list -def strip(line,val): - return line[:line.find(val)] +def strip_comment(line,val): + if line.find(val) >= 0: + return line[:line.find(val)] + else: + return line + def map_aa2cg_traj(ns): # for i in range(len(ns.aa_universe.trajectory)): # I will estimate the coordinates of each bead within all the frames using the iterator of mda and the function center_of_mass() coord = np.zeros((len(ns.aa_universe.trajectory), len(ns.cg_itp['atoms']), 3)) - for j in range(len(ns.cg_itp['atoms'])): + for bead_id in range(len(ns.cg_itp['atoms'])): #Check if the atomtype of the cg is related to a VS - if ns.cg_itp['atoms'][j]['bead_type'] != 'VS': + if ns.cg_itp['atoms'][bead_id]['bead_type'] != 'VS': #The bead is not a VS therefore must be evaluated starting from the AA - la = ns.all_beads[j]['atoms_id'] - sel = ns.aa_universe.atoms[la] - traj = [] - for fr in ns.aa_universe.trajectory: - traj.append(sel.center_of_mass()) - coord[:,j,:] = np.array(traj) + traj = np.empty((len(ns.aa_universe.trajectory),3)) + for ts in ns.aa_universe.trajectory: + # print(ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None, + # compound='group')) + traj[ts.frame] = ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None,compound='group') # no need for PBC handling, trajectories were made wholes for the molecule + coord[:,bead_id,:] = traj - np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + ns.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) for j in range(len(ns.cg_itp['atoms'])): if ns.cg_itp['atoms'][j]['bead_type'] == 'VS': #The bead is a VS, therefore must be evaluated from the coordinates of the previous atoms - # [val['atom_list'] for val in ns.cg_itp['virutal_sitesn'] if val['bead_id'] == j][0] - la = ns.cg_itp['virutal_sitesn'][j]['atom_list'] + la = ns.cg_itp['virtual_sitesn'][j]['atom_list'] # VS_TYPE = 1 -> Center of Geometry # VS_TYPE = 2 -> Center of Mass # VS_TYPE = 3 -> Center of Weights (for each atom a weight must be given in the definition of the VS) - traj = [] + traj = np.empty((len(ns.aa_universe.trajectory),3)) sel = ns.aa2cg_trajectory.atoms[la] - if ns.cg_itp['virutal_sitesn'][j]['vs_type'] == 1: - for fr in ns.aa2cg_trajectory.trajectory: - traj.append(sel.center_of_geometry()) - elif ns.cg_itp['virutal_sitesn'][j]['vs_type'] == 2: - for fr in ns.aa2cg_trajectory.trajectory: - traj.append(sel.center_of_mass()) - - coord[:, j, :] = np.array(traj) + if ns.cg_itp['virtual_sitesn'][j]['vs_type'] == 1: + for ts in ns.aa2cg_trajectory.trajectory: + traj[ts.frame] = sel.center_of_geometry(pbc=None) + elif ns.cg_itp['virtual_sitesn'][j]['vs_type'] == 2: + for ts in ns.aa2cg_trajectory.trajectory: + traj[ts.frame] = sel.center_of_mass(pbc=None) + + coord[:, j, :] = traj #Final CG-coordinates - np.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + ns.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) return @@ -1504,10 +1539,8 @@ def get_AA_bonds_distrib(ns, beads_ids, grp_type, grp_nb): # print('bead_id_1:', bead_id_1, 'using atoms:', ns.mda_beads_atom_grps[bead_id_1].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_1]) # print('bead_id_2:', bead_id_2, 'using atoms:', ns.mda_beads_atom_grps[bead_id_2].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_2]) # print() - frame_nb = 0 - for _ in ns.aa2cg_trajectory.trajectory: - bond_values[len(ns.aa2cg_trajectory.trajectory)*i+frame_nb] = mda.lib.distances.calc_bonds(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm - frame_nb += 1 + for ts in ns.aa2cg_trajectory.trajectory: + bond_values[len(ns.aa2cg_trajectory.trajectory)*i+ts.frame] = mda.lib.distances.calc_bonds(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm bond_avg_init = round(np.average(bond_values), 3) @@ -1567,10 +1600,8 @@ def get_AA_angles_distrib(ns, beads_ids): angle_values_rad = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3 = beads_ids[i] - frame_nb = 0 - for _ in ns.aa2cg_trajectory.trajectory: - angle_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+frame_nb] = mda.lib.distances.calc_angles(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, backend=ns.mda_backend, box=None) - frame_nb += 1 + for ts in ns.aa2cg_trajectory.trajectory: + angle_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+ts.frame] = mda.lib.distances.calc_angles(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, backend=ns.mda_backend, box=None) angle_values_deg = np.rad2deg(angle_values_rad) angle_avg = round(np.mean(angle_values_deg), 3) @@ -1585,10 +1616,8 @@ def get_AA_dihedrals_distrib(ns, beads_ids): dihedral_values_rad = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3, bead_id_4 = beads_ids[i] - frame_nb = 0 - for _ in ns.aa2cg_trajectory.trajectory: - dihedral_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+frame_nb] = mda.lib.distances.calc_dihedrals(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, ns.aa2cg_trajectory.atoms[bead_id_4].position, backend=ns.mda_backend, box=None) - frame_nb += 1 + for ts in ns.aa2cg_trajectory.trajectory: + dihedral_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+ts.frame] = mda.lib.distances.calc_dihedrals(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, ns.aa2cg_trajectory.atoms[bead_id_4].position, backend=ns.mda_backend, box=None) dihedral_values_deg = np.rad2deg(dihedral_values_rad) dihedral_avg = round(np.mean(dihedral_values_deg), 3) @@ -1603,10 +1632,8 @@ def get_CG_bonds_distrib(ns, beads_ids, grp_type): bond_values = np.empty(len(ns.cg_universe.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2 = beads_ids[i] - frame_nb = 0 - for _ in ns.cg_universe.trajectory: # no need for PBC handling, trajectories were made wholes for the molecule - bond_values[len(ns.cg_universe.trajectory)*i+frame_nb] = mda.lib.distances.calc_bonds(ns.cg_universe.atoms[bead_id_1].position, ns.cg_universe.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm - frame_nb += 1 + for ts in ns.cg_universe.trajectory: # no need for PBC handling, trajectories were made wholes for the molecule + bond_values[len(ns.cg_universe.trajectory)*i+ts.frame] = mda.lib.distances.calc_bonds(ns.cg_universe.atoms[bead_id_1].position, ns.cg_universe.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm bond_avg = round(np.mean(bond_values), 3) if grp_type == 'constraint': @@ -1623,10 +1650,8 @@ def get_CG_angles_distrib(ns, beads_ids): angle_values_rad = np.empty(len(ns.cg_universe.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3 = beads_ids[i] - frame_nb = 0 - for _ in ns.cg_universe.trajectory: # no need for PBC handling, trajectories were made wholes for the molecule - angle_values_rad[len(ns.cg_universe.trajectory)*i+frame_nb] = mda.lib.distances.calc_angles(ns.cg_universe.atoms[bead_id_1].position, ns.cg_universe.atoms[bead_id_2].position, ns.cg_universe.atoms[bead_id_3].position, backend=ns.mda_backend, box=None) - frame_nb += 1 + for ts in ns.cg_universe.trajectory: # no need for PBC handling, trajectories were made wholes for the molecule + angle_values_rad[len(ns.cg_universe.trajectory)*i+ts.frame] = mda.lib.distances.calc_angles(ns.cg_universe.atoms[bead_id_1].position, ns.cg_universe.atoms[bead_id_2].position, ns.cg_universe.atoms[bead_id_3].position, backend=ns.mda_backend, box=None) angle_values_deg = np.rad2deg(angle_values_rad) # get group average and histogram non-null values for comparison and display @@ -1642,10 +1667,8 @@ def get_CG_dihedrals_distrib(ns, beads_ids): dihedral_values_rad = np.empty(len(ns.cg_universe.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3, bead_id_4 = beads_ids[i] - frame_nb = 0 - for _ in ns.cg_universe.trajectory: # no need for PBC handling, trajectories were made wholes for the molecule - dihedral_values_rad[len(ns.cg_universe.trajectory)*i+frame_nb] = mda.lib.distances.calc_dihedrals(ns.cg_universe.atoms[bead_id_1].position, ns.cg_universe.atoms[bead_id_2].position, ns.cg_universe.atoms[bead_id_3].position, ns.cg_universe.atoms[bead_id_4].position, backend=ns.mda_backend, box=None) - frame_nb += 1 + for ts in ns.cg_universe.trajectory: # no need for PBC handling, trajectories were made wholes for the molecule + dihedral_values_rad[len(ns.cg_universe.trajectory)*i+ts.frame] = mda.lib.distances.calc_dihedrals(ns.cg_universe.atoms[bead_id_1].position, ns.cg_universe.atoms[bead_id_2].position, ns.cg_universe.atoms[bead_id_3].position, ns.cg_universe.atoms[bead_id_4].position, backend=ns.mda_backend, box=None) dihedral_values_deg = np.rad2deg(dihedral_values_rad) # get group average and histogram non-null values for comparison and display @@ -1908,7 +1931,7 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False row_wise_ranges['max_range_constraints'], row_wise_ranges['max_range_bonds'], row_wise_ranges['max_range_angles'], row_wise_ranges['max_range_dihedrals'] = 0, 0, 0, 0 #Loading the mass of the atom-tpyes in case they are needed - fetch_cg_mass_itp() + fetch_cg_mass_itp(ns) # read ITP file to extract bonds, angles and dihedrals to compare OR get it from the optimization script to avoid re-reading trajectory + calculating hists at each execution # for reading ITP, groups are created by separating bonds/angles/etc lines by a return (\n) or a comment (;) @@ -1939,9 +1962,9 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False # mapping the trajectory aa2cg print('Initializing the mapped trajectory') - scg.initialize_cg_traj(ns) + initialize_cg_traj(ns) print('Mapping the trajectory from AA to CG representation') - scg.map_aa2cg_traj(ns) + map_aa2cg_traj(ns) if ns.atom_only: compute_Rg(ns, traj_type='AA') From 1f624f5282d417c4dc5edb0285da5336544b874f Mon Sep 17 00:00:00 2001 From: fiskissimo Date: Wed, 23 Sep 2020 17:11:41 +0200 Subject: [PATCH 09/23] MOT-CG handling VS_n --- G1_DATA/start_conf.gro | 3 ++- G1_DATA/system.top | 2 +- swarmcg/optimize_model.py | 21 +++++++++--------- swarmcg/swarmCG.py | 45 +++++++++++++++++++++------------------ 4 files changed, 38 insertions(+), 33 deletions(-) diff --git a/G1_DATA/start_conf.gro b/G1_DATA/start_conf.gro index 2999091..93198e8 100644 --- a/G1_DATA/start_conf.gro +++ b/G1_DATA/start_conf.gro @@ -1,5 +1,5 @@ g1_GMX.gro created by acpype (Rev: 10101) on Thu Sep 12 17:34:03 2019 t= 0.00000 step= 0 - 1281 + 1282 1PG1 N1 1 2.936 2.913 2.508 1PG1 C2 2 2.896 2.600 2.705 1PG1 H7 3 3.134 3.247 2.318 @@ -26,6 +26,7 @@ g1_GMX.gro created by acpype (Rev: 10101) on Thu Sep 12 17:34:03 2019 t= 0.000 1PG1 H9 24 2.384 3.105 3.680 1PG1 H11 25 3.353 3.308 3.377 1PG1 N7 26 3.705 3.490 3.432 + 1PG1 N7 26 3.705 3.490 3.432 2W W 27 0.084 3.595 3.359 3W W 28 0.460 2.488 2.882 4W W 29 3.165 2.218 0.652 diff --git a/G1_DATA/system.top b/G1_DATA/system.top index dc8a43f..16c9bb8 100644 --- a/G1_DATA/system.top +++ b/G1_DATA/system.top @@ -11,4 +11,4 @@ G1 (PAMAM) in water ; Compound #mols G1 1 W 1247 -CL- 8 +CL- 8 \ No newline at end of file diff --git a/swarmcg/optimize_model.py b/swarmcg/optimize_model.py index 463b409..81c7223 100644 --- a/swarmcg/optimize_model.py +++ b/swarmcg/optimize_model.py @@ -88,16 +88,17 @@ def run(ns): arg_entry = user_provided_filenames[i] if not os.path.isfile(arg_entries[arg_entry]): data_folder_path = ns.input_folder+'/'+arg_entries[arg_entry] - if ns.input_folder != '.' and os.path.isfile(data_folder_path): - arg_entries[arg_entry] = data_folder_path - else: - if ns.input_folder == '': - data_folder_path = arg_entries[arg_entry] - msg = ( - f"Cannot find file for argument - {args_names[i]} " - f"(expected at location: {data_folder_path})" - ) - raise FileNotFoundError(msg) + if ns.input_folder != '.' and os.path.isfile(data_folder_path): + arg_entries[arg_entry] = data_folder_path + else: + if ns.input_folder == '': + data_folder_path = arg_entries[arg_entry] + print(data_folder_path) + msg = ( + 'Cannot find file for argument - {} ' + '(expected at location: {})'.format(args_names[i],data_folder_path) + ) + raise FileNotFoundError(msg) # check that gromacs alias is correct with open(os.devnull, 'w') as devnull: diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index e150c90..0853d21 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -214,6 +214,8 @@ def read_cg_itp_file(ns, itp_lines): print('Reading Coarse-Grained (CG) ITP file') ns.cg_itp = {'moleculetype': {'molname': '', 'nrexcl': 0}, 'atoms': [], 'constraint': [], 'bond': [], 'angle': [], 'dihedral': [], 'exclusion': [], 'virtual_sitesn': {}} + ns.real_beads_ids = [] + ns.vs_beads_ids = [] ns.nb_constraints, ns.nb_bonds, ns.nb_angles, ns.nb_dihedrals = -1, -1, -1, -1 for i in range(len(itp_lines)): @@ -273,6 +275,12 @@ def read_cg_itp_file(ns, itp_lines): ) raise exceptions.MissformattedFile(msg) + #Making real beads and vs list of ids + if bead_type == 'VS': + ns.vs_beads_ids.append(int(bead_id) - 1) + else: + ns.real_beads_ids.append(int(bead_id) - 1) + #Assignment of the variables value ns.cg_itp['atoms'].append({'bead_id': int(bead_id) - 1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue,'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge), 'mass': float(mass)}) @@ -415,7 +423,7 @@ def read_cg_itp_file(ns, itp_lines): # We need to define the function types for the VSn #Read VS index, and VS function, list_cg_atoms - bead_id, vs_type, cg_atomlist = int(sp_itp_line[0])-1, sp_itp_line[1], [int(bid)-1 for bid in sp_itp_line[2:]] + bead_id, vs_type, cg_atomlist = int(sp_itp_line[0])-1, int(sp_itp_line[1]), [int(bid)-1 for bid in sp_itp_line[2:]] #Check if the bead is defined in the atom list @@ -529,11 +537,13 @@ def fetch_cg_mass_itp(ns): # Checking if the namespaces contains the folder specs. # This is done to distinguish between optimize and evaluate models - if hasattr(ns,'exec_folder') and hasattr(config,'input_sim_files_dirname'): + print(os.getcwd()) + if hasattr(ns,'exec_folder') or hasattr(config,'input_sim_files_dirname'): + print(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename) with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename, 'r') as fp: all_top_lines = fp.read().split('\n') else: - with open( ns.top_input_basename, 'r') as fp: + with open(ns.top_input_basename, 'r') as fp: all_top_lines = fp.read().split('\n') pop_empty_lines(all_top_lines) @@ -707,11 +717,10 @@ def compute_Rg(ns, traj_type): total_mass = sum([ns.cg_universe.atoms[bead_id].mass for bead_id in range(len(ns.cg_itp['atoms']))]) beads_masses = np.array([np.array([ns.cg_universe.atoms[bead_id].mass]) for bead_id in range(len(ns.cg_itp['atoms']))]) # print('BEADS MASSES CG for Rg calculation AA-mapped:\n', beads_masses) - - for ts in ns.aa_universe.trajectory: - mapped_pos = np.array([ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None, compound='group') for bead_id in range(len(ns.cg_itp['atoms']))]) - com = np.sum(beads_masses * mapped_pos, axis=0) / total_mass - mapped_pos_dist_com = mda.lib.distances.distance_array(com, mapped_pos, backend=ns.mda_backend) + for ts in ns.aa2cg_trajectory.trajectory: + # mapped_pos = np.array([ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None, compound='group') for bead_id in range(len(ns.cg_itp['atoms']))]) + com = np.sum(beads_masses * ts.positions, axis=0) / total_mass + mapped_pos_dist_com = mda.lib.distances.distance_array(com, ts.positions, backend=ns.mda_backend) gyr_aa_mapped[ts.frame] = np.sqrt(np.sum(beads_masses.reshape(1,len(beads_masses)) * np.power(mapped_pos_dist_com, 2)) / total_mass) ns.gyr_aa_mapped = round(np.average(gyr_aa_mapped)/10 + ns.aa_rg_offset, 3) # retrieve nm ns.gyr_aa_mapped_std = round(np.std(gyr_aa_mapped)/10, 3) # retrieve nm @@ -973,17 +982,13 @@ def print_cg_itp_file(itp_obj, out_path_itp, print_sections=['constraint', 'bond else: fp.write('{0:<4} {1:>4} {6:>2} {2:>6} {3:>6} {4:<4} {5:9.5f}\n'.format(itp_obj['atoms'][i]['bead_id']+1, itp_obj['atoms'][i]['bead_type'], itp_obj['atoms'][i]['residue'], itp_obj['atoms'][i]['atom'], i+1, itp_obj['atoms'][i]['charge'], itp_obj['atoms'][i]['resnr'])) - fp.write('\n\n[ ]\n') - fp.write('; id type resnr residue atom cgnr charge mass\n\n') + # fp.write('\n\n[ ]\n') + # fp.write('; id type resnr residue atom cgnr charge mass\n\n') if len(itp_obj['virtual_sitesn']) > 0: fp.write('\n\n[ virtual_sitesn ]\n') - for i in range(len(itp_obj['virtual_sitesn'])): - - fp.write('{0:<4} {1:>4} {}\n'.format( - itp_obj['virtual_sitesn'][i]['bead_id'] + 1, - itp_obj['virtual_sitesn'][i]['vs_type']), - ' '.join([str(bid+1) for bid in itp_obj['virtual_sitesn'][i]['atom_list']])) + for vsite in itp_obj['virtual_sitesn']: + fp.write('{} {} {}\n'.format(str(itp_obj['virtual_sitesn'][vsite]['bead_id'] + 1), str(itp_obj['virtual_sitesn'][vsite]['vs_type']), ' '.join([str(bid+1) for bid in itp_obj['virtual_sitesn'][vsite]['atom_list']]))) if 'constraint' in print_sections and 'constraint' in itp_obj and len(itp_obj['constraint']) > 0: fp.write('\n\n[ constraints ]\n') @@ -1538,7 +1543,7 @@ def get_AA_bonds_distrib(ns, beads_ids, grp_type, grp_nb): bead_id_1, bead_id_2 = beads_ids[i] # print('bead_id_1:', bead_id_1, 'using atoms:', ns.mda_beads_atom_grps[bead_id_1].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_1]) # print('bead_id_2:', bead_id_2, 'using atoms:', ns.mda_beads_atom_grps[bead_id_2].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_2]) - # print() + # print(beads_ids[i]) for ts in ns.aa2cg_trajectory.trajectory: bond_values[len(ns.aa2cg_trajectory.trajectory)*i+ts.frame] = mda.lib.distances.calc_bonds(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm @@ -1930,8 +1935,6 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False row_wise_ranges = {} row_wise_ranges['max_range_constraints'], row_wise_ranges['max_range_bonds'], row_wise_ranges['max_range_angles'], row_wise_ranges['max_range_dihedrals'] = 0, 0, 0, 0 - #Loading the mass of the atom-tpyes in case they are needed - fetch_cg_mass_itp(ns) # read ITP file to extract bonds, angles and dihedrals to compare OR get it from the optimization script to avoid re-reading trajectory + calculating hists at each execution # for reading ITP, groups are created by separating bonds/angles/etc lines by a return (\n) or a comment (;) @@ -1946,8 +1949,8 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False msg = "Cannot read CG ITP, it seems you provided a binary file." raise exceptions.MissformattedFile(msg) - # if we do not have reference already from the optimization procedure - if manual_mode: + # Loading the mass of the atom-tpyes in case they are needed + fetch_cg_mass_itp(ns) # read AA traj + find atom bonds connectivity and atom types (to differentiate heavy/hydrogens) print() From 163721e0f09758eda3175451d153f63779b7b6dc Mon Sep 17 00:00:00 2001 From: CharlyEmpereurMot Date: Thu, 24 Sep 2020 08:18:42 +0200 Subject: [PATCH 10/23] ongoing --- G1_DATA/cg_model.itp | 7 +- swarmcg/evaluate_model.py | 28 +- swarmcg/optimize_model.py | 7 +- swarmcg/shared/exceptions.py | 7 +- swarmcg/shared/styling.py | 4 +- .../{shared => simulations}/vs_functions.py | 0 swarmcg/swarmCG.py | 378 ++++++++---------- tests/data/cg_model.itp | 139 +++++++ 8 files changed, 338 insertions(+), 232 deletions(-) rename swarmcg/{shared => simulations}/vs_functions.py (100%) create mode 100644 tests/data/cg_model.itp diff --git a/G1_DATA/cg_model.itp b/G1_DATA/cg_model.itp index 1b765d5..8147237 100644 --- a/G1_DATA/cg_model.itp +++ b/G1_DATA/cg_model.itp @@ -32,7 +32,6 @@ G1 1 24 Qd 1 G1 A24 24 1.00000 25 Nda 1 G1 A25 25 0.00000 26 Qd 1 G1 A26 26 1.00000 -27 VS 1 G1 VVV 27 1.00000 [ bonds ] @@ -71,9 +70,6 @@ G1 1 23 24 1 0 0 ; B4 25 26 1 0 0 ; B4 -; bond VS - 1 27 1 0 0 ; B4 - [ angles ] ; i j k funct angle force.c. @@ -118,5 +114,4 @@ G1 1 22 23 24 2 180 0 ; A5 22 25 26 2 180 0 ; A5 -[ virtual_sitesn ] -27 2 10 11 12 + diff --git a/swarmcg/evaluate_model.py b/swarmcg/evaluate_model.py index c502f39..025b823 100644 --- a/swarmcg/evaluate_model.py +++ b/swarmcg/evaluate_model.py @@ -21,13 +21,13 @@ def run(ns): from numpy import VisibleDeprecationWarning - warnings.filterwarnings("ignore", category=VisibleDeprecationWarning) # filter MDAnalysis + numpy deprecation stuff that is annoying + warnings.filterwarnings("ignore", category=VisibleDeprecationWarning) # filter MDAnalysis + numpy deprecation stuff that is annoying # TODO: make it possible to feed a delta for Rg in case the model has scaling ? # get basenames for simulation files ns.cg_itp_basename = os.path.basename(ns.cg_itp_filename) - ns.top_input_basename = os.path.basename(ns.top_input_filename) + # ns.top_input_basename = os.path.basename(ns.top_input_filename) ns.molname_in = None # TODO: arguments that exist only in the scope of optimization (useless for manual model evaluation) -- but this could be modified to be allowed to evaluate models in mixed membranes, averaging distribs for given molecule name only ns.gyr_aa_mapped, ns.gyr_aa_mapped_std = None, None @@ -40,23 +40,26 @@ def run(ns): # TODO: factorize all checks and put them in global lib if not os.path.isfile(ns.aa_tpr_filename): msg = ( - "Cannot find coordinate file of the atomistic simulation" - "(GRO, PDB, or other trajectory formats supported by MDAnalysis)" + f"Cannot find topology file of the atomistic simulation at location: {ns.aa_tpr_filename}\n" + f"(TPR or other portable topology formats supported by MDAnalysis)" ) raise exceptions.MissingCoordinateFile(msg) if not os.path.isfile(ns.aa_traj_filename): msg = ( - "Cannot find trajectory file of the atomistic simulation" - "(XTC, TRR, or other trajectory formats supported by MDAnalysis)" + f"Cannot find trajectory file of the atomistic simulation at location: {ns.aa_traj_filename}\n" + f"(XTC, TRR, or other trajectory formats supported by MDAnalysis)" ) raise exceptions.MissingTrajectoryFile(msg) if not os.path.isfile(ns.cg_map_filename): - msg = "Cannot find CG beads mapping file (NDX-like file format)" + msg = ( + f"Cannot find CG beads mapping file at location: {ns.cg_map_filename}\n" + f"(NDX-like file format)" + ) raise exceptions.MissingIndexFile(msg) if not os.path.isfile(ns.cg_itp_filename): - msg = "Cannot find ITP file of the CG model" + msg = f"Cannot find ITP file of the CG model at location: {ns.cg_itp_filename}" raise exceptions.MissingItpFile(msg) # check bonds scaling arguments conflicts @@ -132,10 +135,9 @@ def main(): help='XTC file of your CG trajectory (omit for solo AA inspection)', type=str, default=config.metavar_cg_traj, metavar=' ' + scg.par_wrap(config.metavar_cg_traj)) - required_args.add_argument('-cg_top', dest='top_input_filename', - help='TOP file used for iterative simulation', type=str, - default='system.top', metavar=' (system.top)') - # required_args.add_argument('-figmolname', dest='figmolname', help='TODO REMOVE', type=str, required=True) # TODO: remove, this was just for figures + # required_args.add_argument('-cg_top', dest='top_input_filename', + # help='TOP file used for iterative simulation', type=str, + # default='system.top', metavar=' (system.top)') optional_args = args_parser.add_argument_group(bullet + 'CG MODEL SCALING') # optional_args.add_argument('-nb_threads', dest='nb_threads', help='number of threads to use', type=int, default=1, metavar='1') # TODO: does NOT work properly -- modif MDAnalysis code with OpenMP num_threads(n) in the pragma @@ -204,6 +206,8 @@ def main(): # arguments handling, display command line if help or no arguments provided ns = args_parser.parse_args() + # ns.in_dir = "." + # TODO UNSURE: currently it is not allowed to feed arg -in_dir in evaluate_model, like it is the case in optimize_model, but for path handling we still need to define ns.in_dir = "." input_cmdline = ' '.join(map(cmd_quote, sys.argv)) print('Working directory:', os.getcwd()) print('Command line:', input_cmdline) diff --git a/swarmcg/optimize_model.py b/swarmcg/optimize_model.py index 81c7223..88d6f7f 100644 --- a/swarmcg/optimize_model.py +++ b/swarmcg/optimize_model.py @@ -189,13 +189,10 @@ def run(ns): print() #Loading the mass of the atom-tpyes in case they are needed - scg.fetch_cg_mass_itp(ns) + # scg.fetch_cg_mass_itp(ns) # read starting CG ITP file - with open(ns.cg_itp_filename, 'r') as fp: - itp_lines = fp.read().split('\n') - itp_lines = [itp_line.strip() for itp_line in itp_lines] - scg.read_cg_itp_file(ns, itp_lines) # loads ITP object that contains our reference atomistic data -- won't ever be modified during execution + scg.read_cg_itp_file(ns) # loads ITP object that contains our reference atomistic data -- won't ever be modified during execution # touch results files to be appended to later with open(ns.exec_folder+'/'+config.opti_perf_recap_file, 'w') as fp: diff --git a/swarmcg/shared/exceptions.py b/swarmcg/shared/exceptions.py index b5ab8d8..dfcd721 100644 --- a/swarmcg/shared/exceptions.py +++ b/swarmcg/shared/exceptions.py @@ -1,7 +1,10 @@ +from .styling import sep + header_error = "\n-- ! ERROR ! --\n" header_warning = "\n-- ! WARNING ! --\n" -header_gmx_error = "\n GMX ERROR MSG\n'+sep+'\n\n" +header_gmx_error = "\n GMX ERROR MSG\n" + sep + "\n\n" +# TODO: disable showing exceptions traceback for distributing to users ? maybe there is a way we can keep it active for our dev purpose though ? class BaseError(Exception): """ @@ -47,7 +50,7 @@ class OptimisationResultsError(BaseError): pass -class MissingInputFileError(BaseError): +class MissingCoordinateFile(BaseError): pass diff --git a/swarmcg/shared/styling.py b/swarmcg/shared/styling.py index 3dd2f09..87fe62a 100644 --- a/swarmcg/shared/styling.py +++ b/swarmcg/shared/styling.py @@ -23,12 +23,12 @@ def header_package(module_line): | Swarm-CG is distributed under the terms of the MIT License. | | | | Feedback, questions and bug reports are welcome at: | -| {config.github_url}/issues | +| {config.github_url}/issues | | | | If you found Swarm-CG useful in your research, please cite: | | Swarm-CG: Automatic parametrization of bonded terms in CG models | | of simple to complex molecules via FST-PSO | -| Empereur-mot C., Pesce L., Bochicchio D., Perego C., Pavan G.M. ChemRxiv 2020 | +| Empereur-mot C., Pesce L., Doni G., Bochicchio D., Perego C., Pavan G.M. ChemRxiv 2020 | | | | Swarm-CG relies on FST-PSO: | | Fuzzy Self-Tuning PSO: A settings-free algorithm for global optimization | diff --git a/swarmcg/shared/vs_functions.py b/swarmcg/simulations/vs_functions.py similarity index 100% rename from swarmcg/shared/vs_functions.py rename to swarmcg/simulations/vs_functions.py diff --git a/swarmcg/swarmCG.py b/swarmcg/swarmCG.py index 0853d21..cbcb92c 100644 --- a/swarmcg/swarmCG.py +++ b/swarmcg/swarmCG.py @@ -210,14 +210,22 @@ def verify_handled_functions(geom, func_obj, line_obj): # read coarse-grain ITP -def read_cg_itp_file(ns, itp_lines): +def read_cg_itp_file(ns): print('Reading Coarse-Grained (CG) ITP file') ns.cg_itp = {'moleculetype': {'molname': '', 'nrexcl': 0}, 'atoms': [], 'constraint': [], 'bond': [], 'angle': [], 'dihedral': [], 'exclusion': [], 'virtual_sitesn': {}} - ns.real_beads_ids = [] - ns.vs_beads_ids = [] + # ns.real_beads_ids, ns.vs_beads_ids = [], [] ns.nb_constraints, ns.nb_bonds, ns.nb_angles, ns.nb_dihedrals = -1, -1, -1, -1 + with open(ns.cg_itp_filename, 'r') as fp: + try: + itp_lines = fp.read().split('\n') + itp_lines = [itp_line.strip() for itp_line in itp_lines] + process_scaling_str(ns) + except UnicodeDecodeError: + msg = "Cannot read CG ITP, it seems you provided a binary file." + raise exceptions.MissformattedFile(msg) + for i in range(len(itp_lines)): itp_line = itp_lines[i] if itp_line != '' and not itp_line.startswith(';'): @@ -242,28 +250,28 @@ def read_cg_itp_file(ns, itp_lines): r_moleculetype, r_atoms, r_constraints, r_bonds, r_angles, r_dihedrals, r_exclusion, r_virtual = False, False, False, False, False, False, False, False else: - #Stripping comments from the input line - aux_itp_line = strip_comment(itp_line,";") - sp_itp_line = aux_itp_line.split() + sp_itp_line = itp_line.split() if r_moleculetype: ns.cg_itp['moleculetype']['molname'], ns.cg_itp['moleculetype']['nrexcl'] = sp_itp_line[0], int(sp_itp_line[1]) elif r_atoms: - if len(sp_itp_line) == 7: + + if len(sp_itp_line) == 7: # in case masses are ABSENT bead_id, bead_type, resnr, residue, atom, cgnr, charge = sp_itp_line[:7] + + # TODO: get masses from TPR + mass = 0 + # As the mass is not defined we look into its definition - try: - mass = ns.cg_atomtypes_mass[bead_type] - except: - msg = ( - "The bead_type {}, is not contained into the definition of the " - "force field file" - ).format(bead_type) - raise exceptions.MissformattedFile(msg) + # try: + # mass = ns.cg_atomtypes_mass[bead_type] + # except: + # msg = f"The bead type {bead_type} is not defined in the force field file(s)" + # raise exceptions.MissformattedFile(msg) - elif len(sp_itp_line) == 8: + elif len(sp_itp_line) == 8: # in case masses are PRESENT bead_id, bead_type, resnr, residue, atom, cgnr, charge, mass = sp_itp_line[:8] else: # @@ -275,13 +283,13 @@ def read_cg_itp_file(ns, itp_lines): ) raise exceptions.MissformattedFile(msg) - #Making real beads and vs list of ids - if bead_type == 'VS': - ns.vs_beads_ids.append(int(bead_id) - 1) - else: - ns.real_beads_ids.append(int(bead_id) - 1) + # making real beads and vs list of ids + # if bead_type == 'VS': + # ns.vs_beads_ids.append(int(bead_id) - 1) + # else: + # ns.real_beads_ids.append(int(bead_id) - 1) - #Assignment of the variables value + # assignment of the variables value ns.cg_itp['atoms'].append({'bead_id': int(bead_id) - 1, 'bead_type': bead_type, 'resnr': int(resnr), 'residue': residue,'atom': atom, 'cgnr': int(cgnr), 'charge': float(charge), 'mass': float(mass)}) if not len(ns.cg_itp['atoms']) == int(bead_id): @@ -419,46 +427,34 @@ def read_cg_itp_file(ns, itp_lines): ns.cg_itp['dihedral'][ns.nb_dihedrals]['plt_id'].append('') elif r_virtual: - # For user information we need to provide the number of VS. - # We need to define the function types for the VSn + # TODO: For user information we need to provide the number of VS. + # TODO: We need to define the function types for the VSn - #Read VS index, and VS function, list_cg_atoms + # Read VS index, and VS function, list_cg_atoms bead_id, vs_type, cg_atomlist = int(sp_itp_line[0])-1, int(sp_itp_line[1]), [int(bid)-1 for bid in sp_itp_line[2:]] - - #Check if the bead is defined in the atom list - if bead_id >= len(ns.cg_itp['atoms']): - msg = ( - "The bead index definition of the CG virtual sites {} in not defined" - " within in the atomlist".format(bead_id) - ) - raise exceptions.MissformattedFile(msg) - else: - #Check if the bead is defined as VS - if ns.cg_itp['atoms'][bead_id]['bead_type'] != 'VS': + # Check if the bead is defined in the atom list + for bid in cg_atomlist + [bead_id]: + if bid >= len(ns.cg_itp['atoms']): msg = ( - "The virtual site {} should be defined with bead type" - " VS".format(bead_id+1) + f"The virtual sites definition(s) make use of index {bid}, which exceeds the number of " + f"beads and virtual sites defined" ) raise exceptions.MissformattedFile(msg) - #Function is in the function list - func = verify_handled_functions('virtual_sitesn', vs_type, i) - - - #The cg_atoms in list_cg_atoms, checking that the indexes are lower than the one of the VS - for bid in cg_atomlist: - if bid >= bead_id: + else: + # check if the bead is defined as VS (= must start with letter small "v" by MARTINI convention) + if not ns.cg_itp['atoms'][bead_id]['bead_type'].startswith('v'): msg = ( - "The definition of the CG virtual sites {} includes atoms that " - "either they are not in the list or their index comes after the " - "index is higher than the one of the virtual site.".format(bead_id) + f'CG bead number {bead_id+1} is referenced to as a virtual site, but its bead type ' + f'does NOT start with letter "v"' ) raise exceptions.MissformattedFile(msg) + func = verify_handled_functions('virtual_sitesn', vs_type, i) + # ns.cg_itp['virtual_sitesn'].append({'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist}) ns.cg_itp['virtual_sitesn'][bead_id] = {'bead_id': bead_id, 'vs_type': vs_type, 'atom_list': cg_atomlist} - elif r_exclusion: ns.cg_itp['exclusion'].append([int(bead_id)-1 for bead_id in sp_itp_line]) @@ -519,6 +515,7 @@ def read_cg_itp_file(ns, itp_lines): return + def pop_empty_lines(file): # Popping out all the empty lines list_idx = [value for value in range(len(file)) if file[value] == ''] @@ -528,73 +525,73 @@ def pop_empty_lines(file): return -#This function reads the defaults masses associated to each atomtype loaded into the topology file -def fetch_cg_mass_itp(ns): - #Declaring the ns.cg_atomtypes = {} in order to retreive the mass of each particle whenever is missing by searching the type as arguments - ns.cg_atomtypes_mass = {} - #Parsing the topology file to find all the .itp included - list_itp = [] - - # Checking if the namespaces contains the folder specs. - # This is done to distinguish between optimize and evaluate models - print(os.getcwd()) - if hasattr(ns,'exec_folder') or hasattr(config,'input_sim_files_dirname'): - print(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename) - with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename, 'r') as fp: - all_top_lines = fp.read().split('\n') - else: - with open(ns.top_input_basename, 'r') as fp: - all_top_lines = fp.read().split('\n') - - pop_empty_lines(all_top_lines) - - for line in all_top_lines: - if line.split()[0] == "#include": - #Reading the filename of the loaded .itps - aux = line.split()[1] - list_itp.append(aux[1:len(aux)-1]) - - #Reading all the atomtypes within each .itp found in the topology file - for itp_name in list_itp: - if hasattr(ns, 'exec_folder') and hasattr(config, 'input_sim_files_dirname'): - with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + itp_name, 'r') as fp: - itp_file = fp.read().split('\n') - else: - with open(itp_name, 'r') as fp: - itp_file = fp.read().split('\n') - - - #Stripping all comments from the list of line - for i in range(len(itp_file)): - itp_file[i] = strip_comment(itp_file[i],";") - - #Popping out all the empty lines - list_idx = [value for value in range(len(itp_file)) if itp_file[value] == ''] - list_idx.reverse() - for idx in list_idx: - itp_file.pop(idx) - - # Here a boolean checking if we are in a atomtypes section - bAtomTypes = False - - #The lines of the file should be now cleaned, therefore it is possible to skip all the checks to monitor empty lines - for line in itp_file: - if len(line.split()) != 0: - words = line.split() - #Searching the atomtype keyword - if words[0] == "[": - if words[1] == "atomtypes": - bAtomTypes = True - elif words[1] != "atomtypes": - bAtomTypes = False - continue - if bAtomTypes: - ns.cg_atomtypes_mass[words[0]] = float(words[1]) - else: - break - - - return +# #This function reads the defaults masses associated to each atomtype loaded into the topology file +# def fetch_cg_mass_itp(ns): +# #Declaring the ns.cg_atomtypes = {} in order to retreive the mass of each particle whenever is missing by searching the type as arguments +# ns.cg_atomtypes_mass = {} +# #Parsing the topology file to find all the .itp included +# list_itp = [] +# +# # Checking if the namespaces contains the folder specs. +# # This is done to distinguish between optimize and evaluate models +# print(os.getcwd()) +# if hasattr(ns,'exec_folder') or hasattr(config,'input_sim_files_dirname'): +# print(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename) +# with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + ns.top_input_basename, 'r') as fp: +# all_top_lines = fp.read().split('\n') +# else: +# with open(ns.top_input_basename, 'r') as fp: +# all_top_lines = fp.read().split('\n') +# +# pop_empty_lines(all_top_lines) +# +# for line in all_top_lines: +# if line.split()[0] == "#include": +# #Reading the filename of the loaded .itps +# aux = line.split()[1] +# list_itp.append(aux[1:len(aux)-1]) +# +# #Reading all the atomtypes within each .itp found in the topology file +# for itp_name in list_itp: +# if hasattr(ns, 'exec_folder') and hasattr(config, 'input_sim_files_dirname'): +# with open(ns.exec_folder + '/' + config.input_sim_files_dirname + '/' + itp_name, 'r') as fp: +# itp_file = fp.read().split('\n') +# else: +# with open(itp_name, 'r') as fp: +# itp_file = fp.read().split('\n') +# +# +# #Stripping all comments from the list of line +# for i in range(len(itp_file)): +# itp_file[i] = strip_comment(itp_file[i],";") +# +# #Popping out all the empty lines +# list_idx = [value for value in range(len(itp_file)) if itp_file[value] == ''] +# list_idx.reverse() +# for idx in list_idx: +# itp_file.pop(idx) +# +# # Here a boolean checking if we are in a atomtypes section +# bAtomTypes = False +# +# #The lines of the file should be now cleaned, therefore it is possible to skip all the checks to monitor empty lines +# for line in itp_file: +# if len(line.split()) != 0: +# words = line.split() +# #Searching the atomtype keyword +# if words[0] == "[": +# if words[1] == "atomtypes": +# bAtomTypes = True +# elif words[1] != "atomtypes": +# bAtomTypes = False +# continue +# if bAtomTypes: +# ns.cg_atomtypes_mass[words[0]] = float(words[1]) +# else: +# break +# +# +# return # load CG beads from NDX-like file def read_ndx_atoms2beads(ns): @@ -717,8 +714,7 @@ def compute_Rg(ns, traj_type): total_mass = sum([ns.cg_universe.atoms[bead_id].mass for bead_id in range(len(ns.cg_itp['atoms']))]) beads_masses = np.array([np.array([ns.cg_universe.atoms[bead_id].mass]) for bead_id in range(len(ns.cg_itp['atoms']))]) # print('BEADS MASSES CG for Rg calculation AA-mapped:\n', beads_masses) - for ts in ns.aa2cg_trajectory.trajectory: - # mapped_pos = np.array([ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None, compound='group') for bead_id in range(len(ns.cg_itp['atoms']))]) + for ts in ns.aa2cg_universe.trajectory: com = np.sum(beads_masses * ts.positions, axis=0) / total_mass mapped_pos_dist_com = mda.lib.distances.distance_array(com, ts.positions, backend=ns.mda_backend) gyr_aa_mapped[ts.frame] = np.sqrt(np.sum(beads_masses.reshape(1,len(beads_masses)) * np.power(mapped_pos_dist_com, 2)) / total_mass) @@ -976,15 +972,13 @@ def print_cg_itp_file(itp_obj, out_path_itp, print_sections=['constraint', 'bond fp.write('; id type resnr residue atom cgnr charge mass\n\n') for i in range(len(itp_obj['atoms'])): - + + # TODO: remove mass and EOL, it's not used if 'mass_and_eol' in itp_obj['atoms'][i]: fp.write('{0:<4} {1:>4} {6:>2} {2:>6} {3:>6} {4:<4} {5:9.5f} {7}\n'.format(itp_obj['atoms'][i]['bead_id']+1, itp_obj['atoms'][i]['bead_type'], itp_obj['atoms'][i]['residue'], itp_obj['atoms'][i]['atom'], i+1, itp_obj['atoms'][i]['charge'], itp_obj['atoms'][i]['resnr'], itp_obj['atoms'][i]['mass_and_eol'])) else: fp.write('{0:<4} {1:>4} {6:>2} {2:>6} {3:>6} {4:<4} {5:9.5f}\n'.format(itp_obj['atoms'][i]['bead_id']+1, itp_obj['atoms'][i]['bead_type'], itp_obj['atoms'][i]['residue'], itp_obj['atoms'][i]['atom'], i+1, itp_obj['atoms'][i]['charge'], itp_obj['atoms'][i]['resnr'])) - # fp.write('\n\n[ ]\n') - # fp.write('; id type resnr residue atom cgnr charge mass\n\n') - if len(itp_obj['virtual_sitesn']) > 0: fp.write('\n\n[ virtual_sitesn ]\n') for vsite in itp_obj['virtual_sitesn']: @@ -997,7 +991,7 @@ def print_cg_itp_file(itp_obj, out_path_itp, print_sections=['constraint', 'bond for j in range(len(itp_obj['constraint'])): constraint_type = itp_obj['constraint'][j]['geom_type'] - fp.write('\n; constraint type '+constraint_type+'\n') # do NOT change this comment format, functions read_cg_itp depends on it + fp.write('\n; constraint type '+constraint_type+'\n') grp_val = itp_obj['constraint'][j]['value'] for i in range(len(itp_obj['constraint'][j]['beads'])): @@ -1010,7 +1004,7 @@ def print_cg_itp_file(itp_obj, out_path_itp, print_sections=['constraint', 'bond for j in range(len(itp_obj['bond'])): bond_type = itp_obj['bond'][j]['geom_type'] - fp.write('\n; bond type '+bond_type+'\n') # do NOT change this comment format, functions read_cg_itp depends on it + fp.write('\n; bond type '+bond_type+'\n') grp_val, grp_fct = itp_obj['bond'][j]['value'], itp_obj['bond'][j]['fct'] for i in range(len(itp_obj['bond'][j]['beads'])): @@ -1023,7 +1017,7 @@ def print_cg_itp_file(itp_obj, out_path_itp, print_sections=['constraint', 'bond for j in range(len(itp_obj['angle'])): angle_type = itp_obj['angle'][j]['geom_type'] - fp.write('\n; angle type '+angle_type+'\n') # do NOT change this comment format, functions read_cg_itp depends on it + fp.write('\n; angle type '+angle_type+'\n') grp_val, grp_fct = itp_obj['angle'][j]['value'], itp_obj['angle'][j]['fct'] for i in range(len(itp_obj['angle'][j]['beads'])): @@ -1036,7 +1030,7 @@ def print_cg_itp_file(itp_obj, out_path_itp, print_sections=['constraint', 'bond for j in range(len(itp_obj['dihedral'])): dihedral_type = itp_obj['dihedral'][j]['geom_type'] - fp.write('\n; dihedral type '+dihedral_type+'\n') # do NOT change this comment format, functions read_cg_itp depends on it + fp.write('\n; dihedral type '+dihedral_type+'\n') grp_val, grp_fct = itp_obj['dihedral'][j]['value'], itp_obj['dihedral'][j]['fct'] for i in range(len(itp_obj['dihedral'][j]['beads'])): @@ -1397,37 +1391,23 @@ def read_aa_traj(ns): def initialize_cg_traj(ns): - print('Building Coarse-Grained (CG) trajectory', flush=True) - # with warnings.catch_warnings(): - # warnings.filterwarnings("ignore", - # category=ImportWarning) # ignore warning: "bootstrap.py:219: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__" - # ns.cg_universe2 = mda.Universe(ns.gro_input_basename, ns.gro_input_basename, in_memory=True, refresh_offsets=True, - # guess_bonds=False) # setting guess_bonds=False disables angles, dihedrals and improper_dihedrals guessing, which is activated by default - # Here we need to extract the number of atoms, or a more refined method to extract only the elements on which we are interested - # We need to assume that the molecule we will study is located at the beginning of the file. This assumptions does not change much, as the atom names and weights can be taken from the itp file - # sel = ns.cg_universe2.atoms[:len(ns.cg_itp['atoms'])] - # I generate a numpy array of the size np.zeros(len(ns.aa_universe.trajectory,len(ns.cg_itp['atoms']))) - # coord = np.zeros((len(ns.aa_universe.trajectory),len(ns.cg_itp['atoms']),3)) - # ns.aa2cg_trajectory = mda.Merge(sel) - # ns.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + masses = np.array([val['mass'] for val in ns.cg_itp['atoms']]) names = np.array([val['atom'] for val in ns.cg_itp['atoms']]) resname = np.array([val['residue'] for val in ns.cg_itp['atoms']]) resid = np.array([val['resnr'] for val in ns.cg_itp['atoms']]) nr = len(list(set([val['resnr'] for val in ns.cg_itp['atoms']]))) - print(list(set([val['resnr'] for val in ns.cg_itp['atoms']]))) - print(nr) - ns.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']),n_residues=nr,atom_resindex=resid,n_segments=1,residue_segindex=np.ones(nr), trajectory=True) - # ns.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']), 1,n_residues=nr,atom_resindex=resid,n_segments=1,residue_segindex=np.ones(nr), trajectory=True) - # ns.aa2cg_trajectory = mda.Universe.empty(len(ns.cg_itp['atoms']), nr, resindex=resid, trajectory=True) - ns.aa2cg_trajectory.add_TopologyAttr('masses') - ns.aa2cg_trajectory._topology.masses.values = np.array(masses) - ns.aa2cg_trajectory.add_TopologyAttr('name') - ns.aa2cg_trajectory._topology.names.values = names - ns.aa2cg_trajectory.add_TopologyAttr('resnames') - ns.aa2cg_trajectory._topology.resnames.values = resname - -#Assigning to the new universe the masses related to the CG + # print(list(set([val['resnr'] for val in ns.cg_itp['atoms']]))) + # print(nr) + ns.aa2cg_universe = mda.Universe.empty(len(ns.cg_itp['atoms']), n_residues=nr, atom_resindex=resid, n_segments=1, residue_segindex=np.ones(nr), trajectory=True) + # ns.aa2cg_universe = mda.Universe.empty(len(ns.cg_itp['atoms']), 1,n_residues=nr,atom_resindex=resid,n_segments=1,residue_segindex=np.ones(nr), trajectory=True) + # ns.aa2cg_universe = mda.Universe.empty(len(ns.cg_itp['atoms']), nr, resindex=resid, trajectory=True) + ns.aa2cg_universe.add_TopologyAttr('masses') + ns.aa2cg_universe._topology.masses.values = np.array(masses) + ns.aa2cg_universe.add_TopologyAttr('name') + ns.aa2cg_universe._topology.names.values = names + ns.aa2cg_universe.add_TopologyAttr('resnames') + ns.aa2cg_universe._topology.resnames.values = resname # if len(ns.aa_universe.trajectory) > 20000: # print(config.header_warning+'Your atomistic trajectory contains many frames, which increases computation time\nReasonably reducing the number of frames of your input AA trajectory won\'t affect results quality\n2k to 10k frames is usually enough, as long as behaviour and flexibility of your molecule are correctly described by your atomistic trajectory') @@ -1443,55 +1423,53 @@ def strip_comment(line,val): def map_aa2cg_traj(ns): - # for i in range(len(ns.aa_universe.trajectory)): - # I will estimate the coordinates of each bead within all the frames using the iterator of mda and the function center_of_mass() + + # regular beads are mapped using center of mass of groups of atoms coord = np.zeros((len(ns.aa_universe.trajectory), len(ns.cg_itp['atoms']), 3)) for bead_id in range(len(ns.cg_itp['atoms'])): - #Check if the atomtype of the cg is related to a VS - if ns.cg_itp['atoms'][bead_id]['bead_type'] != 'VS': - #The bead is not a VS therefore must be evaluated starting from the AA - traj = np.empty((len(ns.aa_universe.trajectory),3)) + if not ns.cg_itp['atoms'][bead_id]['bead_type'].startswith('v'): # bead is NOT a virtual site + traj = np.empty((len(ns.aa_universe.trajectory), 3)) for ts in ns.aa_universe.trajectory: - # print(ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None, - # compound='group')) - traj[ts.frame] = ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None,compound='group') # no need for PBC handling, trajectories were made wholes for the molecule - coord[:,bead_id,:] = traj + traj[ts.frame] = ns.mda_beads_atom_grps[bead_id].center(ns.mda_weights_atom_grps[bead_id], pbc=None, compound='group') # no need for PBC handling, trajectories were made wholes for the molecule + coord[:, bead_id, :] = traj + ns.aa2cg_universe.load_new(coord, format=mda.coordinates.memory.MemoryReader) - ns.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) - - for j in range(len(ns.cg_itp['atoms'])): - if ns.cg_itp['atoms'][j]['bead_type'] == 'VS': - #The bead is a VS, therefore must be evaluated from the coordinates of the previous atoms - la = ns.cg_itp['virtual_sitesn'][j]['atom_list'] + # virtual sites are mapped using previously defined regular beads positions and appropriate virtual sites functions + for bead_id in range(len(ns.cg_itp['atoms'])): + if ns.cg_itp['atoms'][bead_id]['bead_type'].startswith('v'): + la = ns.cg_itp['virtual_sitesn'][bead_id]['atom_list'] # VS_TYPE = 1 -> Center of Geometry # VS_TYPE = 2 -> Center of Mass # VS_TYPE = 3 -> Center of Weights (for each atom a weight must be given in the definition of the VS) - traj = np.empty((len(ns.aa_universe.trajectory),3)) - sel = ns.aa2cg_trajectory.atoms[la] - if ns.cg_itp['virtual_sitesn'][j]['vs_type'] == 1: - for ts in ns.aa2cg_trajectory.trajectory: + traj = np.empty((len(ns.aa2cg_universe.trajectory), 3)) + sel = ns.aa2cg_universe.atoms[la] + + if ns.cg_itp['virtual_sitesn'][bead_id]['vs_type'] == 1: + for ts in ns.aa2cg_universe.trajectory: traj[ts.frame] = sel.center_of_geometry(pbc=None) - elif ns.cg_itp['virtual_sitesn'][j]['vs_type'] == 2: - for ts in ns.aa2cg_trajectory.trajectory: + + # TODO: Here there wil be a RunTimeWarning: Divide by 0 if function 2 is used exclusively with VS because there will be no masses + # TODO: actually for function 2 we should verify AND ENFORCE that all beads should have masses != 0 + elif ns.cg_itp['virtual_sitesn'][bead_id]['vs_type'] == 2: + for ts in ns.aa2cg_universe.trajectory: traj[ts.frame] = sel.center_of_mass(pbc=None) - coord[:, j, :] = traj - #Final CG-coordinates - ns.aa2cg_trajectory.load_new(coord, format=mda.coordinates.memory.MemoryReader) + coord[:, bead_id, :] = traj + + # Final CG-coordinates + ns.aa2cg_universe.load_new(coord, format=mda.coordinates.memory.MemoryReader) return + # use selected whole molecules as MDA atomgroups and make their coordinates whole, inplace, across the complete tAA rajectory def make_aa_traj_whole_for_selected_mols(ns): # TODO: add an option to NOT read the PBC in case user would feed a trajectory that is already OK and their trajectory does NOT contain PBC/BOX size info across trajectory (this was an issue I encountered with Davide B3T traj GRO) - # try: for _ in ns.aa_universe.trajectory: for aa_mol in ns.all_aa_mols: mda.lib.mdamath.make_whole(aa_mol, inplace=True) - # except ValueError as e: - # print(e) return @@ -1538,14 +1516,11 @@ def create_bins_and_dist_matrices(ns, constraints=True): # calculate bonds distribution from AA trajectory def get_AA_bonds_distrib(ns, beads_ids, grp_type, grp_nb): - bond_values = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) + bond_values = np.empty(len(ns.aa2cg_universe.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2 = beads_ids[i] - # print('bead_id_1:', bead_id_1, 'using atoms:', ns.mda_beads_atom_grps[bead_id_1].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_1]) - # print('bead_id_2:', bead_id_2, 'using atoms:', ns.mda_beads_atom_grps[bead_id_2].atoms, 'with weights:', ns.mda_weights_atom_grps[bead_id_2]) - # print(beads_ids[i]) - for ts in ns.aa2cg_trajectory.trajectory: - bond_values[len(ns.aa2cg_trajectory.trajectory)*i+ts.frame] = mda.lib.distances.calc_bonds(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm + for ts in ns.aa2cg_universe.trajectory: + bond_values[len(ns.aa2cg_universe.trajectory)*i+ts.frame] = mda.lib.distances.calc_bonds(ns.aa2cg_universe.atoms[bead_id_1].position, ns.aa2cg_universe.atoms[bead_id_2].position, backend=ns.mda_backend, box=None) / 10 # retrieved nm bond_avg_init = round(np.average(bond_values), 3) @@ -1602,11 +1577,11 @@ def get_AA_bonds_distrib(ns, beads_ids, grp_type, grp_nb): # calculate angles distribution from AA trajectory def get_AA_angles_distrib(ns, beads_ids): - angle_values_rad = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) + angle_values_rad = np.empty(len(ns.aa2cg_universe.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3 = beads_ids[i] - for ts in ns.aa2cg_trajectory.trajectory: - angle_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+ts.frame] = mda.lib.distances.calc_angles(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, backend=ns.mda_backend, box=None) + for ts in ns.aa2cg_universe.trajectory: + angle_values_rad[len(ns.aa2cg_universe.trajectory)*i+ts.frame] = mda.lib.distances.calc_angles(ns.aa2cg_universe.atoms[bead_id_1].position, ns.aa2cg_universe.atoms[bead_id_2].position, ns.aa2cg_universe.atoms[bead_id_3].position, backend=ns.mda_backend, box=None) angle_values_deg = np.rad2deg(angle_values_rad) angle_avg = round(np.mean(angle_values_deg), 3) @@ -1618,11 +1593,11 @@ def get_AA_angles_distrib(ns, beads_ids): # calculate dihedrals distribution from AA trajectory def get_AA_dihedrals_distrib(ns, beads_ids): - dihedral_values_rad = np.empty(len(ns.aa2cg_trajectory.trajectory) * len(beads_ids)) + dihedral_values_rad = np.empty(len(ns.aa2cg_universe.trajectory) * len(beads_ids)) for i in range(len(beads_ids)): bead_id_1, bead_id_2, bead_id_3, bead_id_4 = beads_ids[i] - for ts in ns.aa2cg_trajectory.trajectory: - dihedral_values_rad[len(ns.aa2cg_trajectory.trajectory)*i+ts.frame] = mda.lib.distances.calc_dihedrals(ns.aa2cg_trajectory.atoms[bead_id_1].position, ns.aa2cg_trajectory.atoms[bead_id_2].position, ns.aa2cg_trajectory.atoms[bead_id_3].position, ns.aa2cg_trajectory.atoms[bead_id_4].position, backend=ns.mda_backend, box=None) + for ts in ns.aa2cg_universe.trajectory: + dihedral_values_rad[len(ns.aa2cg_universe.trajectory)*i+ts.frame] = mda.lib.distances.calc_dihedrals(ns.aa2cg_universe.atoms[bead_id_1].position, ns.aa2cg_universe.atoms[bead_id_2].position, ns.aa2cg_universe.atoms[bead_id_3].position, ns.aa2cg_universe.atoms[bead_id_4].position, backend=ns.mda_backend, box=None) dihedral_values_deg = np.rad2deg(dihedral_values_rad) dihedral_avg = round(np.mean(dihedral_values_deg), 3) @@ -1939,18 +1914,11 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False # read ITP file to extract bonds, angles and dihedrals to compare OR get it from the optimization script to avoid re-reading trajectory + calculating hists at each execution # for reading ITP, groups are created by separating bonds/angles/etc lines by a return (\n) or a comment (;) if manual_mode: - with open(ns.cg_itp_filename, 'r') as fp: - try: - itp_lines = fp.read().split('\n') - itp_lines = [itp_line.strip() for itp_line in itp_lines] - read_cg_itp_file(ns, itp_lines) - process_scaling_str(ns) - except UnicodeDecodeError: - msg = "Cannot read CG ITP, it seems you provided a binary file." - raise exceptions.MissformattedFile(msg) + + read_cg_itp_file(ns) # Loading the mass of the atom-tpyes in case they are needed - fetch_cg_mass_itp(ns) + # fetch_cg_mass_itp(ns) # read AA traj + find atom bonds connectivity and atom types (to differentiate heavy/hydrogens) print() @@ -1964,9 +1932,9 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False get_beads_MDA_atomgroups(ns) # mapping the trajectory aa2cg - print('Initializing the mapped trajectory') - initialize_cg_traj(ns) + print() print('Mapping the trajectory from AA to CG representation') + initialize_cg_traj(ns) map_aa2cg_traj(ns) if ns.atom_only: @@ -1983,7 +1951,7 @@ def compare_models(ns, manual_mode=True, ignore_dihedrals=False, calc_sasa=False # select the whole molecule as an MDA atomgroup and make its coordinates whole, inplace, across the complete trajectory cg_mol = mda.AtomGroup([bead_id for bead_id in ns.all_beads], ns.cg_universe) - for _ in ns.cg_universe.trajectory: # did not help + for _ in ns.cg_universe.trajectory: mda.lib.mdamath.make_whole(cg_mol, inplace=True) # this requires CG data for mapping -- especially, masses are taken from the CG TPR but the CG ITP is also used atm diff --git a/tests/data/cg_model.itp b/tests/data/cg_model.itp new file mode 100644 index 0000000..0db7a69 --- /dev/null +++ b/tests/data/cg_model.itp @@ -0,0 +1,139 @@ +; This file can replace the one in directory /G1_DATA for testing purposes +; and can be made more "complicated" notably for: +; +; -- Adding virtual sites and testing functions +; -- Verifying behavior with different residue names (might be an issue while mapping trajectory to CG) +; -- Checking if virtual sites can be defined in the middle of the [ atoms ] without crashing everything +; (NOT sure this is allowed by MARTINI convention though) +; -- Verify we allow to have 2x [ atoms ] sections for regular/vs beads (this is allowed in MARTINI format) + + +[ moleculetype ] +; molname nrexcl +G1 1 + + +[ atoms ] +; id type resnr residue atom cgnr charge + +1 N0 1 G1 A1 1 0.00000 +2 N0 1 G1 A2 2 0.00000 +3 Nda 1 G1 A3 3 0.00000 +4 N0 1 G1 A4 4 0.00000 +5 Nda 1 G1 A5 5 0.00000 +6 Qd 1 G1 A6 6 1.00000 +7 Nda 1 G1 A7 7 0.00000 +8 Qd 1 G1 A8 8 1.00000 +9 Nda 1 G1 A9 9 0.00000 +10 N0 1 G1 A10 10 0.00000 +11 Nda 1 G1 A11 11 0.00000 +12 Qd 1 G1 A12 12 1.00000 +13 Nda 1 G1 A13 13 0.00000 +14 Qd 1 G1 A14 14 1.00000 +15 Nda 1 G1 A15 15 0.00000 +16 N0 1 G1 A16 16 0.00000 +17 Nda 1 G1 A17 17 0.00000 +18 Qd 1 G1 A18 18 1.00000 +19 Nda 1 G1 A19 19 0.00000 +20 Qd 1 G1 A20 20 1.00000 +21 Nda 1 G1 A21 21 0.00000 +22 N0 1 G1 A22 22 0.00000 +23 Nda 1 G1 A23 23 0.00000 +24 Qd 1 G1 A24 24 1.00000 +25 Nda 1 G1 A25 25 0.00000 +26 Qd 1 G1 A26 26 1.00000 +27 vT 1 G1 A27 27 0.00000 +28 vT 1 G1 A28 28 0.00000 +29 vT 1 G1 A29 29 0.00000 +30 vT 1 G1 A30 30 0.00000 + + +[ bonds ] +; i j funct length force.c. + +; bond group 1 + 1 2 1 0 0 ; B1 + +; bond group 2 + 1 3 1 0 0 ; B2 + 1 9 1 0 0 ; B2 + 2 15 1 0 0 ; B2 + 2 21 1 0 0 ; B2 + 4 5 1 0 0 ; B2 + 4 7 1 0 0 ; B2 + 10 11 1 0 0 ; B2 + 10 13 1 0 0 ; B2 + 16 17 1 0 0 ; B2 + 16 19 1 0 0 ; B2 + 22 23 1 0 0 ; B2 + 22 25 1 0 0 ; B2 + +; bond group 3 + 3 4 1 0 0 ; B3 + 9 10 1 0 0 ; B3 + 15 16 1 0 0 ; B3 + 21 22 1 0 0 ; B3 + +; bond group 4 + 5 6 1 0 0 ; B4 + 7 8 1 0 0 ; B4 + 11 12 1 0 0 ; B4 + 13 14 1 0 0 ; B4 + 17 18 1 0 0 ; B4 + 19 20 1 0 0 ; B4 + 23 24 1 0 0 ; B4 + 25 26 1 0 0 ; B4 + +; bond group 5 + 1 27 1 0 0 ; B5 + + +[ angles ] +; i j k funct angle force.c. + +; angle group 1 + 1 2 15 2 120 0 ; A1 + 1 2 21 2 120 0 ; A1 + 2 1 3 2 120 0 ; A1 + 2 1 9 2 120 0 ; A1 + +; angle group 2 + 1 3 4 2 180 0 ; A2 + 1 9 10 2 180 0 ; A2 + 2 15 16 2 180 0 ; A2 + 2 21 22 2 180 0 ; A2 + +; angle group 3 + 3 1 9 2 120 0 ; A3 + 15 2 21 2 120 0 ; A3 + 5 4 7 2 120 0 ; A3 + 11 10 13 2 120 0 ; A3 + 17 16 19 2 120 0 ; A3 + 25 22 23 2 120 0 ; A3 + +; angle group 4 + 3 4 5 2 120 0 ; A4 + 3 4 7 2 120 0 ; A4 + 9 10 11 2 120 0 ; A4 + 9 10 13 2 120 0 ; A4 + 15 16 17 2 120 0 ; A4 + 15 16 19 2 120 0 ; A4 + 21 22 23 2 120 0 ; A4 + 21 22 25 2 120 0 ; A4 + +; angle group 5 + 4 5 6 2 180 0 ; A5 + 4 7 8 2 180 0 ; A5 + 10 11 12 2 180 0 ; A5 + 10 13 14 2 180 0 ; A5 + 16 17 18 2 180 0 ; A5 + 16 19 20 2 180 0 ; A5 + 22 23 24 2 180 0 ; A5 + 22 25 26 2 180 0 ; A5 + +[ virtual_sitesn ] +27 1 5 6 7 8 +28 1 11 12 13 14 +29 1 17 18 19 20 +30 1 23 24 25 26 + From 23f133f0cbd2d4aa14725f8bca09f4a5f13c47df Mon Sep 17 00:00:00 2001 From: CharlyE Date: Sun, 27 Sep 2020 11:03:33 +0200 Subject: [PATCH 11/23] Added VS functions + Fixed BI --- .gitignore | 3 + G1_DATA/cg_topol.tpr | Bin 0 -> 38176 bytes G1_DATA/cg_traj.xtc | Bin 0 -> 9599344 bytes G1_DATA/martini_v2.0_PEO_PS_CNP.itp | 4 +- G1_DATA/system.top | 2 +- swarmcg/__init__.py | 2 +- swarmcg/config.py | 67 +- swarmcg/evaluate_model.py | 31 +- swarmcg/optimize_model.py | 137 +--- swarmcg/shared/styling.py | 4 +- swarmcg/shared/utils.py | 11 +- swarmcg/simulations/vs_functions.py | 153 +++- swarmcg/swarmCG.py | 1088 ++++++++++----------------- tests/data/cg_model.itp | 9 +- 14 files changed, 677 insertions(+), 834 deletions(-) create mode 100644 G1_DATA/cg_topol.tpr create mode 100644 G1_DATA/cg_traj.xtc diff --git a/.gitignore b/.gitignore index 66482ec..36915ff 100644 --- a/.gitignore +++ b/.gitignore @@ -99,3 +99,6 @@ ENV/ .pytest_cache/ # data +/distributions.png +/G1_DATA/.aa_traj.xtc_offsets.npz +/G1_DATA/.cg_traj.xtc_offsets.npz diff --git a/G1_DATA/cg_topol.tpr b/G1_DATA/cg_topol.tpr new file mode 100644 index 0000000000000000000000000000000000000000..0ce7463db15b85fe1484cc213e7a81909d230ac1 GIT binary patch literal 38176 zcmeFZXS5X6w*F1dIp>^nPP^Bt+T@&b1_8-P1_fc0bIv&@5fMQVx)z9{Ai;o&h>9qv zn8kqE_xBX^Is1Rcd(ORY828idF=}^pcXh3`W_ac^=Uly$BuSDvNs=U)IyY+Hp;?>O zMXFV)TBlMC-bs=q1;-;C`8d*Wq#iSH_`rT+2XdM+DSvdt9;gUi zSFd%AH(h`K`S{n@|NP|t_N+bcCg(`jwr2SG{qy_lxqn_g(fidBomUOdwdUll2lUg6 z@cPyR!uRi=hi^Z4zsf(~Z;)uL28qUMkZ7z1iN

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