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用 ARROW 进行蛋白-配体结合自由能计算——一个完全基于第一性原理参数化的极化力场。

Protein-Ligand Binding Free-Energy Calculations with ARROW─A Purely First-Principles Parameterized Polarizable Force Field.

机构信息

InterX Inc., 805 Allston Way, Berkeley California, 94710, United States.

Faculty of Physics, Lomonosov Moscow State University, Moscow 119991, Russia.

出版信息

J Chem Theory Comput. 2022 Dec 13;18(12):7751-7763. doi: 10.1021/acs.jctc.2c00930. Epub 2022 Dec 2.

DOI:10.1021/acs.jctc.2c00930
PMID:36459593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9753910/
Abstract

Protein-ligand binding free-energy calculations using molecular dynamics (MD) simulations have emerged as a powerful tool for in silico drug design. Here, we present results obtained with the ARROW force field (FF)─a multipolar polarizable and physics-based model with all parameters fitted entirely to high-level ab initio quantum mechanical (QM) calculations. ARROW has already proven its ability to determine solvation free energy of arbitrary neutral compounds with unprecedented accuracy. The ARROW FF parameterization is now extended to include coverage of all amino acids including charged groups, allowing molecular simulations of a series of protein-ligand systems and prediction of their relative binding free energies. We ensure adequate sampling by applying a novel technique that is based on coupling the Hamiltonian Replica exchange (HREX) with a conformation reservoir generated via potential softening and nonequilibrium MD. ARROW provides predictions with near chemical accuracy (mean absolute error of ∼0.5 kcal/mol) for two of the three protein systems studied here (MCL1 and Thrombin). The third protein system (CDK2) reveals the difficulty in accurately describing dimer interaction energies involving polar and charged species. Overall, for all of the three protein systems studied here, ARROW FF predicts relative binding free energies of ligands with a similar accuracy level as leading nonpolarizable force fields.

摘要

利用分子动力学(MD)模拟进行蛋白质-配体结合自由能计算已成为计算机药物设计的有力工具。在这里,我们展示了使用 ARROW 力场(FF)得到的结果——这是一种多极极化和基于物理的模型,其所有参数完全拟合到高级从头算量子力学(QM)计算。ARROW 已经证明了其能够以前所未有的精度确定任意中性化合物的溶剂化自由能的能力。现在,ARROW FF 参数化已扩展到包括所有氨基酸(包括带电基团)的覆盖范围,允许对一系列蛋白质-配体系统进行分子模拟,并预测它们的相对结合自由能。我们通过应用一种基于汉密尔顿复制交换(HREX)与通过势软化和非平衡 MD 生成的构象库的新型技术来确保充分采样。ARROW 对这里研究的三个蛋白质系统中的两个(MCL1 和凝血酶)提供了接近化学精度的预测(平均绝对误差约为 0.5 kcal/mol)。第三个蛋白质系统(CDK2)揭示了准确描述涉及极性和带电物质的二聚体相互作用能的困难。总的来说,对于这里研究的所有三个蛋白质系统,ARROW FF 以与领先的非极化力场相似的准确度水平预测配体的相对结合自由能。

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