GLOW: A Workflow Integrating Gaussian-Accelerated Molecular Dynamics and Deep Learning for Free Energy Profiling
Author:
Affiliation:
1. The Center for Computational Biology and Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas 66047, United States
Funder
National Institute of General Medical Sciences
College of Liberal Arts and Sciences, University of Kansas
Publisher
American Chemical Society (ACS)
Subject
Physical and Theoretical Chemistry,Computer Science Applications
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.1c01055
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5. ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale
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