Molecular shape based alignment is useful for VS, scaffold hopping, etc.
ROCS is very popular tool to do it.
But there are some another tools.
I found nice reference on web, and tried to do subshape alignment using RDKit.
My try was failed because it took very long time ;-(.
This is snippet..
” I down load sdf from PubChem, all mols were similar to imatinib. ”
from rdkit import Chem from rdkit.Chem import AllChem from rdkit import RDConfig from rdkit.Chem.Draw import IPythonConsole from rdkit.Chem import Draw from rdkit.Chem import PyMol import os mols = [ Chem.AddHs(m) for m in Chem.SDMolSupplier("sample.sdf")]
Them make viewer object. (Pymol must be run at server-mode.)
And generate conformers for each molecules.
v = PyMol.MolViewer() cidslist=[] for mol in mols: mol.RemoveAllConformers() cids = AllChem.EmbedMultipleConfs(mol, pruneRmsThresh=1.0) cidslist.append(cids) for idx in range(len(mols)): mol = mols[idx] for cid in cidslist[idx]: AllChem.UFFOptimizeMolecule(mol, confId=cid)
OK.
Now, I could get 3d grid image.
Draw.MolsToGridImage(mols[:5], molsPerRow=5)
Next, import Subshape module.
from rdkit.Chem.Subshape import SubshapeBuilder, SubshapeAligner, SubshapeObjects
Then, make ref and probe molecule and each mol’s shapes following command.
ref = Chem.Mol(mols[0].ToBinary()) probe = Chem.Mol(mols[1].ToBinary()) AllChem.CanonicalizeConformer(ref.GetConformer()) builder = SubshapeBuilder.SubshapeBuilder() builder.gridDims = (20.,20.,10.) builder.gridSpacing=0.5 builder.winRad = 4. refShape = builder.GenerateSubshapeShape(ref) probeShape = builder.GenerateSubshapeShape(probe)
Draw ref mol and ref_shape.
v.ShowMol(ref,name="ref") SubshapeObjects.DisplaySubshape(v,refShape,'ref_Shape') v.server.do('set transparency=0.5') v.GetPNG()
Align two molecules.
aligner = SubshapeAligner.SubshapeAligner() algs = aligner.GetSubshapeAlignments(ref,refShape,probe,probeShape,builder)
In this step, my mac book air looks like freeze…. So, I canceled this step.
It was hard to me to do it using RDKit. Hmm…
If you want to know more details, please read following link.
http://nbviewer.ipython.org/gist/greglandrum/4316435