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药物发现中炼金术结合自由能计算的最新进展。

Recent Advances in Alchemical Binding Free Energy Calculations for Drug Discovery.

作者信息

Muegge Ingo, Hu Yuan

机构信息

Alkermes, Inc, 852 Winter Street, Waltham, Massachusetts 02451-1420, United States.

Frontier Medicines Corp, 451 D Street, Suite 207, Boston, Massachusetts 02210, United States.

出版信息

ACS Med Chem Lett. 2023 Feb 16;14(3):244-250. doi: 10.1021/acsmedchemlett.2c00541. eCollection 2023 Mar 9.

Abstract

Rigorous physics-based methods to calculate binding free energies of protein-ligand complexes have become a valued component of structure-based drug design. Relative and absolute binding free energy calculations have been deployed prospectively in support of solving diverse drug discovery challenges. Here we review recent applications of binding free energy calculations to fragment growing and linking, scaffold hopping, binding pose validation, virtual screening, covalent enzyme inhibition, and positional analogue scanning. Furthermore, we discuss the merits of using protein models and highlight recent efforts to replace costly binding free energy calculations with predictions from machine learning models trained on a limited number of free energy perturbation or thermodynamic integration calculations thereby allowing for extended chemical space exploration.

摘要

基于严格物理学原理计算蛋白质-配体复合物结合自由能的方法,已成为基于结构的药物设计中一项重要的组成部分。相对和绝对结合自由能计算已被前瞻性地应用于应对各种药物发现挑战。在此,我们回顾了结合自由能计算在片段生长与连接、骨架跃迁、结合姿势验证、虚拟筛选、共价酶抑制和位置类似物扫描等方面的最新应用。此外,我们讨论了使用蛋白质模型的优点,并强调了最近为用基于有限数量的自由能微扰或热力学积分计算训练的机器学习模型预测取代昂贵的结合自由能计算所做的努力,从而实现对更大化学空间的探索。

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