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基于沿弦路径的路径集体变量的结合自由能计算。

Binding Free Energy Calculations Based on the Path Collective Variable along a String Pathway.

作者信息

Ghidini Alessia, Cavalli Andrea, Roux Benoît

机构信息

Centre Européen de Calcul Atomique et Moléculaire (CECAM), Ecole Polytechnique Fédérale de Lausanne, Lausanne 1015, Switzerland.

Department of Biochemistry and Molecular Biology, Department of Chemistry, The University of Chicago, 5735 S Ellis Ave., Chicago, Illinois 60637, United States.

出版信息

J Phys Chem B. 2025 Jul 10;129(27):6805-6816. doi: 10.1021/acs.jpcb.5c02258. Epub 2025 Jun 30.

Abstract

Calculating the binding free energy of small drug-like molecules to a macromolecular receptor is one of the most important applications of molecular dynamics simulations. One computational approach (the "geometrical route") seeks to determine the binding free energy of a ligand by calculating the potential of mean force along a physical path corresponding to the dissociation of the ligand from its receptor. We show here that it is possible to rigorously map the entire ligand-receptor separation process onto a curvilinear separation pathway constructed from the string method and then sample the longitudinal and orthogonal order parameters defined from the Path Collective Variable (PCV) along this pathway to calculate the binding free energy. The theory is illustrated by computing the absolute binding free energy of a glycogen synthase kinase-3 beta (GSK-3β) inhibitor, and the results are compared with the result from a calculation based on the standard alchemical double decoupling approach.

摘要

计算类药物小分子与大分子受体的结合自由能是分子动力学模拟最重要的应用之一。一种计算方法(“几何途径”)试图通过计算沿着与配体从其受体解离相对应的物理路径的平均力势来确定配体的结合自由能。我们在此表明,可以将整个配体 - 受体分离过程严格映射到由弦方法构建的曲线分离路径上,然后沿着该路径对由路径集体变量(PCV)定义的纵向和正交序参量进行采样,以计算结合自由能。通过计算糖原合酶激酶 - 3β(GSK - 3β)抑制剂的绝对结合自由能对该理论进行了说明,并将结果与基于标准炼金术双去耦方法的计算结果进行了比较。

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本文引用的文献

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Nonequilibrium Binding Free Energy Simulations: Minimizing Dissipation.
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3
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4
Accurate determination of protein:ligand standard binding free energies from molecular dynamics simulations.
Nat Protoc. 2022 Apr;17(4):1114-1141. doi: 10.1038/s41596-021-00676-1. Epub 2022 Mar 11.
5
Machine Learning and Enhanced Sampling Simulations for Computing the Potential of Mean Force and Standard Binding Free Energy.
J Chem Theory Comput. 2021 Aug 10;17(8):5287-5300. doi: 10.1021/acs.jctc.1c00177. Epub 2021 Jul 14.
6
Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.
Chem Rev. 2020 Dec 9;120(23):12788-12833. doi: 10.1021/acs.chemrev.0c00534. Epub 2020 Oct 2.
7
Scalable molecular dynamics on CPU and GPU architectures with NAMD.
J Chem Phys. 2020 Jul 28;153(4):044130. doi: 10.1063/5.0014475.
8
String Method for Protein-Protein Binding Free-Energy Calculations.
J Chem Theory Comput. 2019 Nov 12;15(11):5829-5844. doi: 10.1021/acs.jctc.9b00499. Epub 2019 Oct 31.
9
Investigating Drug-Target Residence Time in Kinases through Enhanced Sampling Simulations.
J Chem Theory Comput. 2019 Aug 13;15(8):4646-4659. doi: 10.1021/acs.jctc.9b00104. Epub 2019 Jul 12.
10
Finding Principal Paths in Data Space.
IEEE Trans Neural Netw Learn Syst. 2019 Aug;30(8):2449-2462. doi: 10.1109/TNNLS.2018.2884792. Epub 2018 Dec 25.

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