GeauxDock: A novel approach for mixed-resolution ligand docking using a descriptor-based force field

TitleGeauxDock: A novel approach for mixed-resolution ligand docking using a descriptor-based force field
Publication TypeJournal Article
Year of Publication2015
AuthorsDing Y, Fang Y, Feinstein WP, Ramanujam J, Koppelman DM, Moreno J, Brylinski M, Jarrell M
JournalJ Comput Chem
Volume36
Issue27
Pagination2013-2026
Date Published2015 Oct 15
ISSN1096-987X
Abstract

Molecular docking is an important component of computer-aided drug discovery. In this communication, we describe GeauxDock, a new docking approach that builds on the ideas of ligand homology modeling. GeauxDock features a descriptor-based scoring function integrating evolutionary constraints with physics-based energy terms, a mixed-resolution molecular representation of protein-ligand complexes, and an efficient Monte Carlo sampling protocol. To drive docking simulations toward experimental conformations, the scoring function was carefully optimized to produce a correlation between the total pseudoenergy and the native-likeness of binding poses. Indeed, benchmarking calculations demonstrate that GeauxDock has a strong capacity to identify near-native conformations across docking trajectories with the area under receiver operating characteristics of 0.85. By excluding closely related templates, we show that GeauxDock maintains its accuracy at lower levels of homology through the increased contribution from physics-based energy terms compensating for weak evolutionary constraints. GeauxDock is available at http://www.institute.loni.org/lasigma/package/dock/. © 2015 Wiley Periodicals, Inc.

DOI10.1002/jcc.24031
Alternate JournalJournal of Computational Chemistry
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