Hi Lewis,
Just an idea: you might try to load your PDB in UCSF Chimera, then
save it as a mol2 or sdf file.
Then, try to read this sdf file from rdkit.
Another idea: try to get your pdb file through the pdbredo service.
https://pdb-redo.eu/
They might have fixed a few things; maybe this PDB will read better in
rdkit.
Regards,
F.
On 26/09/2021 17:02, Lewis Martin wrote:
Hi RDKit,
While parsing proteins from the PBD with RDKit, I've come across
situations where the distance-based bond determination leads to
'incorrect' bonds between atoms that are erroneously too close
together. PDB files have no bond information, so it's not really
'incorrect' (rather the model coordinates are off), but the bonds are
nonphysical - and it means the Mol objects won't sanitize.
Here's an example:
import requests
from io import BytesIO
import gzip
from rdkit import Chem
def getPDB(code):
out =
requests.get(f'https://files.rcsb.org/download/{code}.pdb1.gz [1]')
binary_stream = BytesIO(out.content)
return gzip.open(binary_stream).read()
pdb_string = getPDB('3udn')
Chem.MolFromPDBBlock(pdb_string)
Error is:
RDKit ERROR: [22:38:21] Explicit valence for atom # 573 O, 3, is
greater than permitted
This is caused by the threonine 72 sidechain being too close to the
TYR71 backbone carbonyl oxygen (this can be visualized at
https://www.rcsb.org/3d-view/3UDN?preset=ligandInteraction&sele=09B ,
TYR71 is near the ligand).
Does anyone know how to avoid this to create a Chem.Mol? I've tried
using Parmed and PDBFixer, since they use residue templates to
generate the correct bonding topology, but they don't write CONECT
records or SDFs, so the bonds are still lost to RDKit.
Thanks for your time!
Lewis
PS - why not just use PDBFixer? I'm trying to calculate atom
invariants using RDKit's morgan fingerprinter implementation, so
ultimately I want a sanitized Mol object
Links:
------
[1] https://files.rcsb.org/download/%7Bcode%7D.pdb1.gz
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