Divide-and-Conquer ABFE: Improving Free Energy Calculations by Enhancing Water Sampling.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-04-08 Epub Date: 2025-03-24 DOI:10.1021/acs.jctc.4c01661
Runduo Liu, Yufen Yao, Wanyi Huang, Yilin Zhong, Hai-Bin Luo, Zhe Li
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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.

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分而治之ABFE:通过加强水采样来改善自由能计算。
自由能微扰(FEP)是一种很有前景的分子相互作用预测方法,广泛应用于药物设计、材料科学和催化等领域。然而,FEP计算,特别是在含水环境中,由于水分子采样不足,往往会出现收敛问题。这些挑战在溶剂化相关的自由能计算中尤其重要,例如小分子-蛋白质结合、界面相互作用和表面分子吸附。为了解决这些限制,我们提出了分而治之的绝对结合自由能(DC-ABFE)方法。DC-ABFE通过将配体或分子划分为原子群,并依次解耦其范德华相互作用,改善了水再入采样,增强了相空间重叠,并显著提高了自由能计算的收敛性。我们的基准测试表明,与传统的FEP方法相比,DC-ABFE方法实现了更可重复性和更可靠的结合自由能预测。DC-ABFE适用于一系列涉及溶剂化效应的自由能计算。此外,该方法为精确的药物筛选奠定了更坚实的基础,为预测药物发现中的结合亲和力提供了更强大的工具。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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.
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