Originally written as part of the publication title "Martinoid: The Martini Peptoid Force Field", published in Phys. Chem. Chem. Phys..
https://pubs.rsc.org/en/content/articlehtml/2024/cp/d3cp05907c
This module was inspired by martinize (http://cgmartini.nl/index.php/tools2/proteins-and-bilayers/204-martinize) and has been created to perform automatic topology building of peptoids within the MARTINI forcefield (v2.1) in the GROMACS program.
A key difference between Martinoid and Martinize is that the former does not require an input all-atom peptoid structure while Martinize does. This has obvious advantages but does mean the output guessed CG structures [generally] require a greater degree of minimization.
pip install -U Martinoid
or
git clone https://github.com/Hamish-cmyk/MartinoidPeptoidCG
cd MartinoidPeptoidCG
pip install .
The primary argument passed is the peptoid sequence, this must be in the correct format according to the Glasgow convention (https://doi.org/10.17868/strath.00085559).
Martinoid can either be used directly from the terminal once installed: For example:
python -m Martinoid --seq "Na-Nt-Nfe"
Which will output two files: Na-Nt-Nfe.itp & Na-Nt-Nfe.pdb
The topology (Na-Nt-Nfe.itp) looks like:
[ moleculetype ]
; Name Exclusions
Peptoid 1
[ atoms ]
1 Qd 1 Nx BB 1 1.0 ;
2 Na 2 Nt BB 2 0.0 ;
3 SP1 2 Nt SC1 3 0.0 ;
4 Nda 3 Nfe BB 4 0.0 ;
5 SC1 3 Nfe SC1 5 0.0 ;
6 SC5 3 Nfe SC2 6 0.0 ;
7 SC5 3 Nfe SC3 7 0.0 ;
8 SC5 3 Nfe SC4 8 0.0 ;
[ bonds ]
1 2 1 0.34 8515.0 ; BB-BB
2 3 1 0.333 6627.0 ; BB-SC1
2 4 1 0.34 8515.0 ; BB-BB
4 5 1 0.298 7638 ; BB-SC1
5 6 1 0.234 9500 ; SC1-SC2
[ constraints ]
6 7 1 0.27 ; SC2-SC3
7 8 1 0.27 ; SC3-SC4
8 6 1 0.27 ; SC4-SC2
[ angles ]
1 2 4 2 138.0 50.0 ; BB-BB-BB
4 5 6 2 147 37 ; BB-SC1-SC2
5 6 7 8 0 1 ; DW_Potential
5 6 8 8 0 1 ; DW_Potential
3 2 4 2 110 20 ; SC1-BB-BB
5 4 2 2 65 80 ; SC1-BB-BB
[ dihedrals ]
5 7 8 6 2 0 50 ; BB-SC2-SC3-SC1
[ exclusions ]
5 7
5 8
}
The coordinates (Na-Nt-Nfe.pdb) has a guess structure which looks like (which is not a terible guess and can easily be minimized during the gromacs minimization step):
Martinoid can be used as module in python which can make screening large numbers of peptoids in different simulation settings easier.
After installing Martinoid, simply import the module and pass the sequence and arguments. For instances if we wanted to make a helical sequence of Nf-Nfe-Nq-Nm-NmO-Nv-Nv-Nv with a neutral N-terminus:
import Martinoid
peptoid = Martinoid.Martinoid(sequence = "Nf-Nfe-Nq-Nm-NmO-Nv-Nv-Nv", N_ter_charged=True, SS="Helical")
Martinoid uses a custom angle parameter to account for flexible ethyl sidechains (e.g., Nfe). For this reason you must include this .xvg file when you call mdrun.
gmx mdrun -tableb angle5_a0.xvg -deffnm Run