{"title":"Divide-and-Conquer ABFE: Improving Free Energy Calculations by Enhancing Water Sampling.","authors":"Runduo Liu, Yufen Yao, Wanyi Huang, Yilin Zhong, Hai-Bin Luo, Zhe Li","doi":"10.1021/acs.jctc.4c01661","DOIUrl":null,"url":null,"abstract":"<p><p>Free energy perturbation (FEP) is a promising method for accurately predicting molecular interactions, widely applied in fields such as drug design, materials science, and catalysis. However, FEP calculations, particularly those in aqueous environments, often suffer from convergence issues due to insufficient sampling of water molecules. These challenges are particularly critical in solvation-related free energy calculations, such as small molecule-protein binding, interface interactions, and molecular adsorption on surfaces. To address these limitations, we present the divide-and-conquer absolute binding free energy (DC-ABFE) method. By partitioning the ligand or molecule into atomic groups and sequentially decoupling their van der Waals interactions, DC-ABFE improves water re-entry sampling, enhances phase-space overlap, and significantly enhances the convergence of free energy calculations. Our benchmark demonstrates that DC-ABFE achieves more reproducible and reliable binding free energy predictions compared to traditional FEP methods. DC-ABFE is applicable to a range of free energy calculations involving solvation effects. Additionally, this method establishes a stronger foundation for precise drug screening, offering a more robust tool for predicting binding affinities in drug discovery.</p>","PeriodicalId":45,"journal":{"name":"Journal of Chemical Theory and Computation","volume":" ","pages":"3712-3725"},"PeriodicalIF":5.7000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Theory and Computation","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.jctc.4c01661","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/24 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Free energy perturbation (FEP) is a promising method for accurately predicting molecular interactions, widely applied in fields such as drug design, materials science, and catalysis. However, FEP calculations, particularly those in aqueous environments, often suffer from convergence issues due to insufficient sampling of water molecules. These challenges are particularly critical in solvation-related free energy calculations, such as small molecule-protein binding, interface interactions, and molecular adsorption on surfaces. To address these limitations, we present the divide-and-conquer absolute binding free energy (DC-ABFE) method. By partitioning the ligand or molecule into atomic groups and sequentially decoupling their van der Waals interactions, DC-ABFE improves water re-entry sampling, enhances phase-space overlap, and significantly enhances the convergence of free energy calculations. Our benchmark demonstrates that DC-ABFE achieves more reproducible and reliable binding free energy predictions compared to traditional FEP methods. DC-ABFE is applicable to a range of free energy calculations involving solvation effects. Additionally, this method establishes a stronger foundation for precise drug screening, offering a more robust tool for predicting binding affinities in drug discovery.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.