Improvements in Precision of Relative Binding Free Energy Calculations Afforded by the Alchemical Enhanced Sampling (ACES) Approach
Accurate <i>in silico</i> predictions of how strongly small molecules bind to proteins, such as those afforded by relative binding free energy (RBFE) calculations, can greatly increase the efficiency of the hit-to-lead and lead optimization stages of the drug discovery process. The success of such calculations, however, relies heavily on their precision. Here, we show that a recently developed alchemical enhanced sampling (ACES) approach can consistently improve the precision of RBFE calculations on a large and diverse set of proteins and small molecule ligands. The addition of ACES to conventional RBFE calculations lowered the average hysteresis by over 35% (0.3-0.4 kcal/mol) and the average replicate spread by over 25% (0.2-0.3 kcal/mol) across a set of 10 protein targets and 213 small molecules while maintaining similar or improved accuracy. We show in atomic detail how ACES improved convergence of several representative RBFE calculations through enhancing the sampling of important slowly transitioning ligand degrees of freedom.
Authors
- Timothy J. Giese (ORCID: https://orcid.org/0000-0002-0653-9168)
- Chuan Tian (ORCID: https://orcid.org/0000-0002-3518-7237)
- Hsu‐Chun Tsai (ORCID: https://orcid.org/0000-0001-7027-5649)
- Tai‐Sung Lee (ORCID: https://orcid.org/0000-0003-2110-2279)
- Abir Ganguly (ORCID: https://orcid.org/0000-0002-0630-1109)
- Xinyu Que (ORCID: https://orcid.org/0000-0002-4057-3255)
- Albert C. Pan (ORCID: https://orcid.org/0000-0001-5050-5603)
- Darrin M. York (ORCID: https://orcid.org/0000-0002-9193-7055)
- Guo Zhenyu
- Yinhui Yi
- James Xu
Institutions
- Rutgers, The State University of New Jersey (US)
- Quantitative BioSciences (US)
- Tandem Diabetes Care (United States) (US)
Publication Details
- Journal
- Journal of Chemical Information and Modeling
- Published
- 2024-09-03
- DOI
- https://doi.org/10.1021/acs.jcim.4c00464
- Citations
- 7
- Primary Topic
- Protein Structure and Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 1.64
Funders
- National Science Foundation
- San Diego Supercomputer Center
- National Institutes of Health
- Division of Chemistry