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Description
Problem
As discussed with @helder-ribeiro, we need a function within SERD that can calculate the depth of residues identified by SERD as exposed. This depth value should be calculated for each residue, providing a comparable metric across different proteins. At a first glance, use centroid of residues for the depth calculation, but we can implement different metrics for residues.
Proposed solution
>>> from pyKVFinder import Molecule
>>> molecule = Molecule(vdw=radii)
>>> molecule.surface("SES", probe=4.0)
>>> depth = dist2surf(residues, surface) # TODO: Implement dist2surfdist2surf function:
- surface: Contains all points in contact with the bulk/solvent, represented by coords.
- distance calculation: Compute the minimum distance between coords and atom_coords to determine the depth.
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enhancementNew feature or requestNew feature or request