Equilibrium and Non-equilibrium Ensemble Methods for Accurate, Precise and Reproducible Absolute Binding Free Energy Calculations

Agastya Prakash, Bhati, Shunzhou, Wan, Peter V., Coveney
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Abstract

Free energy calculations for protein-ligand complexes have become widespread in recent years owing to several conceptual, methodological and technological advances. Central among these is the use of ensemble methods which permits accurate, precise and reproducible predictions and are necessary for uncertainty quantification. Absolute binding free energies (ABFEs) are challenging to predict using alchemical methods and their routine application in drug discovery has remained out of reach until now. Here, we apply ensemble alchemical ABFE methods to a large dataset comprising 219 ligand-protein complexes and obtain statistically robust results with high accuracy (< 1 kcal/mol). We compare equilibrium and non-equilibrium methods for ABFE predictions at large scale and provide a systematic critical assessment of each method. The equilibrium method is more accurate, precise, faster, computationally more cost-effective and requires a much simpler protocol, making it preferable for large scale and blind applications. We find that the calculated free energy distributions are non-normal and discuss the consequences. We recommend a definitive protocol to perform ABFE calculations optimally. Using this protocol, it is possible to perform thousands of ABFE calculations within a few hours on modern exascale machines.
用平衡和非平衡集合方法进行准确、精确和可重复的绝对结合自由能计算
近年来,由于在概念、方法和技术上的一些进步,蛋白质配体复合物的自由能计算已变得非常普遍。其中最重要的是集合方法的使用,它允许准确、精确和可重复的预测,是不确定性量化所必需的。使用炼金方法预测绝对结合自由能(ABFEs)具有挑战性,其在药物发现中的常规应用至今仍遥不可及。在这里,我们将集合炼金术 ABFE 方法应用于由 219 个配体-蛋白质复合物组成的大型数据集,并获得了统计稳健且准确度高(< 1 kcal/mol)的结果。我们比较了用于大规模 ABFE 预测的平衡和非平衡方法,并对每种方法进行了系统的批判性评估。平衡法更准确、精确、快速,计算成本效益更高,所需的协议也更简单,因此更适合大规模和盲应用。我们发现计算出的自由能分布是非正态分布,并讨论了其后果。我们建议采用一种明确的协议来优化 ABFE 计算。使用该协议,可以在现代超大规模机器上在几小时内完成数千次 ABFE 计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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