| Methods to select diverse compounds using non-binary descriptors? [message #1330] |
Wed, 30 June 2021 13:37 |
EJW515
Messages: 1
Registered: June 2021
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Junior Member |
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Hi all,
I have a large library of compounds (100k) from which I'm trying to select a diverse set. The "select diverse compounds" function has worked for FragFp and Spheres fingerprints.
What may be too big a computational task for larger libraries is to select compounds based on conformational diversity too. For this, the Flexophore descriptor worked very nicely on a smaller set of 2000 molecules. I clustered the set into 30 groups (which took 3 minutes), from which the 30 "representative" molecules could serve as a diverse subset. To me, clustering with a non-binary descriptor appears to be analogous to using the "select diverse set" command with a binary descriptor (FragFp, SpheresFp).
However, trying to cluster a library of 100k into 180 groups by Flexophore gave me a waiting time of 500 hours... My setup is a Dell Precision 7920/Intel Xeon Gold 5122 4-core/NVIDIA Quadro P1000/64 GB RAM.
Has anyone here ever tried to do something similar?
I wondered if there's a better approach in some manual way, but the calculation time just for "maxsim(Flexophore)" on the set of 2000 already took 1.5 hours. I have a feeling this may be a fundamental limitation due to the complexity of calculating Flexophore similarity (relative to Tanimoto coefficients), but it would be a very useful tool for me so I thought it worth asking.
Thanks for any help 
Best,
EJW515
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