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IMERGE-FEP:利用化学中间体提高相对自由能计算的收敛性。

IMERGE-FEP: Improving Relative Free Energy Calculation Convergence with Chemical Intermediates.

作者信息

Schoenmaker Linde, Jiskoot Daan A, Scheen Jenke, Cheng Evien, Gapsys Vytautas, Hahn David F, Ries Benjamin, van Westen Gerard J P, Mobley David L, Jespers Willem

机构信息

Leiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.

Department of Pharmaceutical Sciences, University of California, Irvine, California 92697, United States.

出版信息

J Phys Chem B. 2025 Mar 6;129(9):2370-2379. doi: 10.1021/acs.jpcb.4c07156. Epub 2025 Feb 20.

DOI:10.1021/acs.jpcb.4c07156
PMID:39976528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11891892/
Abstract

Alchemical free energy calculations are becoming an increasingly prevalent tool in drug discovery efforts. Over the past decade, significant progress has been made in automating various aspects of this technique. However, one aspect hampering wider application is the construction of perturbation networks to connect ligands of interest. More specifically, ligand pairs with large dissimilarities should be avoided since they can lower convergence and decrease accuracy. Here, we propose a technique for automatic generation of intermediate molecules to break up problematic edges─calculations connecting two different ligands or molecules─into smaller perturbations. To this end, a modular tool was developed that generates intermediates for a molecule pair by enumerating R-group combinations called IMERGE-FEP (Intermediate MolEculaR GEnerator for Free Energy Perturbation). Intermediate enumeration of multiple, representative congeneric series showed that intermediates increase similarity regarding shared substructures, geometry, and LOMAP scores. Taken together, this tool eases integration of intermediate steps into free energy calculation protocols.

摘要

炼金术自由能计算正日益成为药物发现工作中一种普遍使用的工具。在过去十年里,这项技术的各个方面在自动化方面都取得了重大进展。然而,阻碍其更广泛应用的一个方面是构建微扰网络以连接感兴趣的配体。更具体地说,应避免具有较大差异的配体对,因为它们会降低收敛性并降低准确性。在此,我们提出了一种自动生成中间分子的技术,以将有问题的边(连接两个不同配体或分子的计算)分解为较小的微扰。为此,开发了一种模块化工具,通过枚举称为IMERGE-FEP(用于自由能微扰的中间分子生成器)的R-基团组合来为分子对生成中间体。对多个具有代表性的同系物系列进行中间体枚举表明,中间体在共享子结构、几何形状和LOMAP评分方面增加了相似性。综上所述,该工具简化了将中间步骤整合到自由能计算协议中的过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/960d29e7e7a2/jp4c07156_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/4bf91a5ec711/jp4c07156_0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/733db1d80cfb/jp4c07156_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/5acd76cf7c26/jp4c07156_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/78e55f60b0c3/jp4c07156_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/dd53d1fd524f/jp4c07156_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/97e1b0871c2e/jp4c07156_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/960d29e7e7a2/jp4c07156_0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/4bf91a5ec711/jp4c07156_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/991ae4ba3c9d/jp4c07156_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/733db1d80cfb/jp4c07156_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/5acd76cf7c26/jp4c07156_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/78e55f60b0c3/jp4c07156_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/dd53d1fd524f/jp4c07156_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/97e1b0871c2e/jp4c07156_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/925a/11891892/960d29e7e7a2/jp4c07156_0008.jpg

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本文引用的文献

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Current State of Open Source Force Fields in Protein-Ligand Binding Affinity Predictions.开源力场在蛋白质-配体结合亲和力预测中的现状。
J Chem Inf Model. 2024 Jul 8;64(13):5063-5076. doi: 10.1021/acs.jcim.4c00417. Epub 2024 Jun 19.
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Kartograf: A Geometrically Accurate Atom Mapper for Hybrid-Topology Relative Free Energy Calculations.
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J Chem Theory Comput. 2024 Mar 12;20(5):1862-1877. doi: 10.1021/acs.jctc.3c01206. Epub 2024 Feb 8.
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Development and Benchmarking of Open Force Field 2.0.0: The Sage Small Molecule Force Field.开发与基准测试 Open Force Field 2.0.0:Sage 小分子力场
J Chem Theory Comput. 2023 Jun 13;19(11):3251-3275. doi: 10.1021/acs.jctc.3c00039. Epub 2023 May 11.
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Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks [Article v0.1].构建、准备和评估蛋白质-配体结合亲和力基准的最佳实践[文章v0.1]
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