gWEGA : GPU-accelerated WEGA for molecular superposition and shape comparison

Copyright © 2014 Wiley Periodicals, Inc.

Détails bibliographiques
Publié dans:Journal of computational chemistry. - 1984. - 35(2014), 15 vom: 05. Juni, Seite 1122-30
Auteur principal: Yan, Xin (Auteur)
Autres auteurs: Li, Jiabo, Gu, Qiong, Xu, Jun
Format: Article en ligne
Langue:English
Publié: 2014
Accès à la collection:Journal of computational chemistry
Sujets:Journal Article Research Support, Non-U.S. Gov't algorithm drug discovery graphic processing unit molecular superimposing virtual screening Small Molecule Libraries
Description
Résumé:Copyright © 2014 Wiley Periodicals, Inc.
Virtual screening of a large chemical library for drug lead identification requires searching/superimposing a large number of three-dimensional (3D) chemical structures. This article reports a graphic processing unit (GPU)-accelerated weighted Gaussian algorithm (gWEGA) that expedites shape or shape-feature similarity score-based virtual screening. With 86 GPU nodes (each node has one GPU card), gWEGA can screen 110 million conformations derived from an entire ZINC drug-like database with diverse antidiabetic agents as query structures within 2 s (i.e., screening more than 55 million conformations per second). The rapid screening speed was accomplished through the massive parallelization on multiple GPU nodes and rapid prescreening of 3D structures (based on their shape descriptors and pharmacophore feature compositions)
Description:Date Completed 15.04.2015
Date Revised 28.04.2014
published: Print-Electronic
Citation Status MEDLINE
ISSN:1096-987X
DOI:10.1002/jcc.23603