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Solvant Accesible surface area #4025
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Hello there first time contributor! Welcome to the MDAnalysis community! We ask that all contributors abide by our Code of Conduct and that first time contributors introduce themselves on the developer mailing list so we can get to know you. You can learn more about participating here. Please also add yourself to package/AUTHORS
as part of this PR.
Codecov ReportBase: 93.53% // Head: 93.54% // Increases project coverage by
Additional details and impacted files@@ Coverage Diff @@
## develop #4025 +/- ##
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+ Coverage 93.53% 93.54% +0.01%
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Files 191 192 +1
Lines 25062 25108 +46
Branches 3547 3550 +3
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+ Hits 23442 23488 +46
Misses 1099 1099
Partials 521 521
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Hello @pegerto , thank you for your contribution. Because this project is listed as a potential GSOC project I have to ask if you intend to apply for Google Summer of Code with MDAnalysis (if MDAnalysis is selected to take part this year). |
Hi @orbeckst I saw the documentation of this request listed under GSOC 2021, are you planning to present this project for 2023 as organisation. It was not my intention to do so rather contribute to this analysis module in parallel to my research. |
Ok, good, thank you for letting us know! |
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Hi @pegerto , a few initial comments from skimming through (I haven't looked at the core of the code yet).
I also think it might be better to call the module sasa.py
or something similar, accessibility.py
is too general IMO (but others might disagree).
def atomic_radi(e): | ||
"""van der Waals radii""" | ||
DEFAULT_ATOMIC_RADI = 2.0 | ||
return ATOMIC_RADI[e] if e in ATOMIC_RADI else DEFAULT_ATOMIC_RADI |
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This looks superfluous. You can use the dictionary's get method with a default argument, or maybe even a defaultdict.
ATOMIC_RADI = { | ||
"H": 1.200, | ||
"HE": 1.400, | ||
"C": 1.700, | ||
"N": 1.550, | ||
"O": 1.520, | ||
"F": 1.470, | ||
"NA": 2.270, | ||
"MG": 1.730, | ||
"P": 1.800, | ||
"S": 1.800, | ||
"CL": 1.750, | ||
"K": 2.750, | ||
"CA": 2.310, | ||
"NI": 1.630, | ||
"CU": 1.400, | ||
"ZN": 1.390, | ||
"SE": 1.900, | ||
"BR": 1.850, | ||
"CD": 1.580, | ||
"I": 1.980, | ||
"HG": 1.550, | ||
} |
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It would be good to add a comment on where you got these numbers from. Even better, you can use the ones already available in MDAnalysis:
mdanalysis/package/MDAnalysis/topology/tables.py
Lines 306 to 314 in d27a32a
TABLE_VDWRADII = r""" | |
# Van der Waals radii taken from | |
# [1] Bondi, A. (1964). "Van der Waals Volumes and Radii". | |
# J. Phys. Chem. 68 (3): 441-451. doi:10.1021/j100785a001. | |
# [2] Rowland and Taylor (1996). "Intermolecular Nonbonded Contact Distances in Organic Crystal Structures: | |
# Comparison with Distances Expected from van der Waals Radii". | |
# J. Phys. Chem., 1996, 100 (18), 7384.7391. doi:10.1021/jp953141+. | |
# [3] Mantina, et al. (2009). "Consistent van der Waals Radii for the Whole Main Group". | |
# J. Phys. Chem. A, 2009, 113 (19), 5806-5812. doi:10.1021/jp8111556. |
n_points: int (optional) | ||
Number of points used for the estimation of the atom surface area | ||
probe_radius: double ( optional ) | ||
Radius of the probe atom, by default watter radious |
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Radius of the probe atom, by default watter radious | |
Radius of the probe atom, by default water radious |
Atom group used for the calculation. | ||
n_points: int (optional) | ||
Number of points used for the estimation of the atom surface area | ||
probe_radius: double ( optional ) |
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probe_radius: double ( optional ) | |
probe_radius: double (optional) |
DEFAULT_ATOMIC_RADI = 2.0 | ||
return ATOMIC_RADI[e] if e in ATOMIC_RADI else DEFAULT_ATOMIC_RADI | ||
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Can you please add the DOI(s) of the relevant publication(s)/source(s) on which this analysis class is based? People need such references to double check the method and see where the default values come from.
You can find an example of how to do that here:
mdanalysis/package/MDAnalysis/analysis/msd.py
Lines 256 to 263 in d27a32a
due.cite(Doi("10.21105/joss.00877"), | |
description="Mean Squared Displacements with tidynamics", | |
path="MDAnalysis.analysis.msd", | |
cite_module=True) | |
due.cite(Doi("10.1051/sfn/201112010"), | |
description="FCA fast correlation algorithm", | |
path="MDAnalysis.analysis.msd", | |
cite_module=True) |
from MDAnalysis.analysis.accesibility import SASA | ||
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class TestSASA(object): |
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Are there simple cases for which an analytical result is available?
self._atom_neighbours = KDTree(ag.positions, 10) | ||
self._n_points = n_points | ||
self._sphere = self._compute_sphere() | ||
self._twice_max_radi = (max(list(ATOMIC_RADI.values())) + probe_radius) * 2 |
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Is there a better name for this variable, since it is not twice the maximum radius?
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for atom in self._ag.atoms: | ||
r_w = atomic_radi(atom.type) | ||
raddi = r_w + self._probe_radius |
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raddi = r_w + self._probe_radius | |
radii = r_w + self._probe_radius |
But maybe radius
(singular) is more pertinent here? See also the other occurrences.
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Thanks for this @pegerto
I however have two concerns:
- The
_compute
and_compute_sphere
methods are very reminiscent of the way classes are defined in Biopython. I haven't had a chance to do a direct comparison of the class content here, so please forgive me rudely asking - how much, if any, of this code comes from Biopython? - The AnalysisBase class methods aren't being used properly, I would suggest having a look at the docs for how to create such a child class: https://userguide.mdanalysis.org/stable/examples/analysis/custom_trajectory_analysis.html
return ATOMIC_RADI[e] if e in ATOMIC_RADI else DEFAULT_ATOMIC_RADI | ||
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class SASA(AnalysisBase): |
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I'm not seeing anything being defined for _prepare
, _single_frame
, or _conclude
, and so it looks like you're not using the AnalysisBase class properly to allow it to iterate over a trajectory.
Hey @IAlibay not problem at all I definitely looked at the biopython implementation, the idea of precompute the sphere points and then stretch it and translate centroid of the atoms comes from this implementations. Thanks for the feedback |
Do you have an sense of relative performance compared to eg freesasa? |
We have an active PR open for SASA. MDAnalysis/mdanalysis#4025
@pegerto if your code is based on biopython's Bio.PDB.SASA, wouldn't it be easier to just import the code and work on moving data between MDA and Biopython? How much of a cost does one incur doing so? |
* GSoC 2023 blog post draft * Apply suggestions from code review * add gsoc list to config * remove SASA project We have an active PR open for SASA. MDAnalysis/mdanalysis#4025 * embed MDAnalysis 2021 trailer * post updates - fix project numbering (now same as in https://github.com/MDAnalysis/mdanalysis/wiki/GSoC-2023-Project-Ideas) - fix broken link constructs to GSoC list - add final remarks subheading for better showing difference between requirements and comments - add Discord as contact to last paragraph - close with a friendly sign off - use GitHub and Discord team handles in signature * fixed Discord gsoc-mentor handle * removed unavailable mentors --------- Co-authored-by: Rocco Meli <[email protected]> Co-authored-by: Lily Wang <[email protected]>
@pegerto is this still something you are interested in contributing? |
I'm going to close this PR as stale, please do go ahead and re-open if you still wish to contribute this @pegerto, it is still a very much needed feature. |
Fixes #2439
Changes made in this Pull Request:
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