Property-Unmatched Decoys in Docking Benchmarks.

J Chem Inf Model

Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California 94158, United States.

Published: February 2021

AI Article Synopsis

  • Scientists use special tricks called "decoys" to help them find better molecules for docking library screens.
  • They need to be careful not to focus too much on just one type of molecule because that can give them a false sense of success.
  • To fix this, they created new decoy sets that show a wider variety of molecules, and they made these tools available for everyone to use online.

Article Abstract

Enrichment of ligands versus property-matched decoys is widely used to test and optimize docking library screens. However, the unconstrained optimization of enrichment alone can mislead, leading to false confidence in prospective performance. This can arise by over-optimizing for enrichment against property-matched decoys, without considering the full spectrum of molecules to be found in a true large library screen. Adding decoys representing charge extrema helps mitigate over-optimizing for electrostatic interactions. Adding decoys that represent the overall characteristics of the library to be docked allows one to sample molecules not represented by ligands and property-matched decoys but that one will encounter in a prospective screen. An optimized version of the DUD-E set (DUDE-Z), as well as Extrema and sets representing broad features of the library (Goldilocks), is developed here. We also explore the variability that one can encounter in enrichment calculations and how that can temper one's confidence in small enrichment differences. The new tools and new decoy sets are freely available at http://tldr.docking.org and http://dudez.docking.org.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913603PMC
http://dx.doi.org/10.1021/acs.jcim.0c00598DOI Listing

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