Dear Oriol,

At the moment there is no way to do this. I think it should be fixable, but
I need to do a bit more investigation.

-greg


On Mon, Dec 7, 2015 at 7:05 PM, Oriol Senan Campos <[email protected]>
wrote:

> Dear RDKit community
>
> I am trying to compare structurally several molecules using ecfp
> fingerprints. I would like to distinguish between cis/trans isomers, but
> after looking at the documentation and previous threads I am not able to
> include stereochemical information from the sdf files.
>
>
> Here is my example, which corresponds to 9-cis-retinal:
>
> https://pubchem.ncbi.nlm.nih.gov/compound/6436082#section=Top
> <https://pubchem.ncbi.nlm.nih.gov/compound/6436082#section=Top>
> 9-cis-Retinal | C20H28O - PubChem
> 9-cis-Retinal | C20H28O | CID 6436082 - structure, chemical names,
> physical and chemical properties, classification, patents, literature,
> biological activities, safety/hazards/toxicity information, supplier lists,
> and more.
> Més informació...
> <https://pubchem.ncbi.nlm.nih.gov/compound/6436082#section=Top>
>
> and retinal (trans-retinal):
>
> https://pubchem.ncbi.nlm.nih.gov/compound/638015#section=Top
>
>
> The sdf files are attached
>
>
> file1 = "Structure2D_CID_6436082.sdf"
>
> file2 = "Structure2D_CID_638015.sdf"
>
>
> mol1 =
> Chem.MolFromMolFile(file1)
>
> Chem.AssignAtomChiralTagsFromStructure(mol1)
> Chem.AssignStereochemistry(mol1cis,force=True, cleanIt = True,
> flagPossibleStereoCenters = True)
> fps1 = AllChem.GetMorganFingerprint(mol1,2, useChirality = True)
>
>
> file2 = "Structure2D_CID_638015.sdf"
> mol2 =
> Chem.MolFromMolFile(file2)
>
> Chem.AssignAtomChiralTagsFromStructure(mol2)
> Chem.AssignStereochemistry(mol2, force = True, cleanIt = True,
> flagPossibleStereoCenters = True)
> fps2 = AllChem.GetMorganFingerprint(mol21,2, useChirality = True)
>
> DataStructs.DiceSimilarity(fps1,fps2)
>
> Out[250]: 1.0
>
> Is there a possibility to obtain a structural similarity < 1 in cases like
> my example?
>
> Thank you very much
> Best Regards
>
>
>
> Oriol Senan
> PhD Student Universitat Rovira i Virgili
>
> http://seeslab.info/researchers/senan/
>
>
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