Suppr超能文献

基于RED-E函数的平衡参数查找器:在绝对结合自由能计算中寻找最佳约束参数

RED-E-Function-Based Equilibrium Parameter Finder: Finding the Best Restraint Parameters in Absolute Binding Free Energy Calculations.

作者信息

Huang Wanyi, Liu Runduo, Yao Yufen, Lai Yijun, Luo Hai-Bin, Li Zhe

机构信息

State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.

Key Laboratory of Tropical Biological Resources of Ministry of Education, School of Pharmaceutical Sciences, Hainan University, Haikou 570228, China.

出版信息

J Phys Chem Lett. 2025 Jan 9;16(1):253-260. doi: 10.1021/acs.jpclett.4c02656. Epub 2024 Dec 24.

Abstract

Free energy perturbation (FEP)-based absolute binding free energy (ABFE) calculations have emerged as a powerful tool for the accurate prediction of ligand-protein binding affinities in drug discovery. The restraint addition is crucial in FEP-ABFE calculations; however, due to the non-orthogonal couplings between the restrained degrees of freedom, it typically requires numerous λ windows to ensure the phase-space overlap during restraint addition. This study introduces the RED-E-function-based equilibrium parameter finder (REPF), a novel method that relies on harmonic restraints to optimize the equilibrium values in restraints, enhancing phase-space overlap and improving the convergence of the restraint addition. REPF was applied to 44 protein-ligand complexes across 5 targets and compared to restraint schemes reported in the literature. We found that REPF-optimized restraints achieve an accuracy comparable to that of the 12λ approach while using only 2λ simulations, resulting in a significant reduction in computational costs. Extensive tests confirmed the improved convergence behavior and reduced energy fluctuations of REPF-optimized restraints.

摘要

基于自由能微扰(FEP)的绝对结合自由能(ABFE)计算已成为药物发现中准确预测配体-蛋白质结合亲和力的强大工具。在FEP-ABFE计算中,添加约束至关重要;然而,由于受约束自由度之间的非正交耦合,通常需要大量的λ窗口来确保添加约束期间的相空间重叠。本研究介绍了基于RED-E函数的平衡参数查找器(REPF),这是一种依靠谐波约束来优化约束中平衡值的新方法,可增强相空间重叠并改善约束添加的收敛性。REPF应用于5个靶点的44个蛋白质-配体复合物,并与文献中报道的约束方案进行了比较。我们发现,经REPF优化的约束在仅使用2λ模拟时就能达到与12λ方法相当的精度,从而显著降低了计算成本。大量测试证实了REPF优化约束具有改善的收敛行为和减少的能量波动。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验