| Literature DB >> 28800393 |
Jeffrey R Wagner1, Jesper Sørensen1, Nathan Hensley1, Celia Wong1, Clare Zhu1, Taylor Perison1, Rommie E Amaro1,2.
Abstract
We present a substantial update to the open-source POVME binding pocket analysis software. New capabilities of POVME 3.0 include a flexible chemical coloring scheme for feature identification, postanalysis tools for comparing large ensembles of pockets (e.g., from molecular dynamics simulations), and the introduction of scripts and methods that facilitate binding pocket comparison and analysis. We envision the use of this software for visualization of binding pocket dynamics, selection of representative structures for ensemble docking, and incorporation of molecular dynamics results into ligand design efforts.Entities:
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Year: 2017 PMID: 28800393 PMCID: PMC5751414 DOI: 10.1021/acs.jctc.7b00500
Source DB: PubMed Journal: J Chem Theory Comput ISSN: 1549-9618 Impact factor: 6.006