Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California 92093, United States.
Center for Computational Biology and Center for Computational Mathematics, Flatiron Institute, New York, New York 10010, United States.
J Chem Theory Comput. 2024 Nov 26;20(22):9759-9769. doi: 10.1021/acs.jctc.4c01108. Epub 2024 Nov 7.
Molecular dynamics simulations have become indispensable for exploring complex biological processes, yet their limitations in capturing rare events hinder our understanding of drug-target kinetics. In this Perspective, we investigate the domain of milestoning simulations to understand this challenge. The milestoning approach divides the phase space of the drug-target complex into discrete cells, offering extended time scale insights. This Perspective traces the history, applications, and future potential of milestoning simulations in the context of drug-target kinetics. It explores the fundamental principles of milestoning, highlighting the importance of probabilistic transitions and transition time independence. Markovian milestoning with Voronoi tessellations is revisited to address the traditional milestoning challenges. While observing the advancements in this field, this Perspective also addresses impending challenges in estimating drug-target unbinding rate constants through milestoning simulations, paving the way for more effective drug design strategies.
分子动力学模拟已成为探索复杂生物过程不可或缺的手段,但它们在捕捉罕见事件方面的局限性阻碍了我们对药物-靶标动力学的理解。在本观点中,我们研究里程碑模拟的领域,以了解这一挑战。里程碑方法将药物-靶标复合物的相空间划分为离散的单元,提供扩展的时间尺度洞察力。本观点追溯了里程碑模拟在药物-靶标动力学背景下的历史、应用和未来潜力。它探讨了里程碑模拟的基本原理,强调了概率跃迁和跃迁时间独立性的重要性。重新审视了基于 Voronoi 胞腔的马尔可夫里程碑,以解决传统里程碑模拟的挑战。在观察这一领域的进展的同时,本观点还解决了通过里程碑模拟估计药物-靶标解联速率常数所面临的即将到来的挑战,为更有效的药物设计策略铺平了道路。