Docking to multiple pockets or ligand fields for screening, activity prediction and scaffold hopping

Author:

Chen Yu-Chen1,Totrov Max2,Abagyan Ruben3

Affiliation:

1. Bioinformatics, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA

2. Molsoft LLC, 11199 Sorrento Valley Road, S209, San Diego, CA 92121, USA

3. Skaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, 9500 Gilman Drive, MC 0747, La Jolla, CA 92093-0747, USA

Abstract

Background: Two recent technological advances dramatically reducing the rate of false-negatives in activity prediction by docking flexible 3D models of compounds include multi-conformational docking (mPockDock) and the docking of candidates to atomic property fields derived by co-crystallized ligands (mApfDock). Results: The mApfDock and mPockDock provide the AUC of 90.4 and 83.8%, respectively. The mApfDock gave better performance when compounds required large induced-fit pocket changes unseen in crystallography, whereas the mPockDock is superior when the co-crystallized ligands do not represent sufficient chemical and binding location diversity. Conclusion: Both approaches proved to be efficient for scaffold hopping; they are complementary when the coverage of the co-crystallized complexes is poor but become convergent when the complexes are diverse enough.

Publisher

Future Science Ltd

Subject

Drug Discovery,Pharmacology,Molecular Medicine

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