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水合分子在靶标-配体结合中的焓分类。

Enthalpic Classification of Water Molecules in Target-Ligand Binding.

机构信息

Pharmacoinformatics Unit, Department of Pharmacology and Pharmacotherapy, Medical School, University of Pécs, Szigeti út 12, Pécs 7624, Hungary.

出版信息

J Chem Inf Model. 2024 Aug 26;64(16):6583-6595. doi: 10.1021/acs.jcim.4c00794. Epub 2024 Aug 12.

DOI:10.1021/acs.jcim.4c00794
PMID:39135312
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11351019/
Abstract

Water molecules play various roles in target-ligand binding. For example, they can be replaced by the ligand and leave the surface of the binding pocket or stay conserved in the interface and form bridges with the target. While experimental techniques supply target-ligand complex structures at an increasing rate, they often have limitations in the measurement of a detailed water structure. Moreover, measurements of binding thermodynamics cannot distinguish between the different roles of individual water molecules. However, such a distinction and classification of the role of individual water molecules would be key to their application in drug design at atomic resolution. In this study, we investigate a quantitative approach for the description of the role of water molecules during ligand binding. Starting from complete hydration structures of the free and ligand-bound target molecules, binding enthalpy scores are calculated for each water molecule using quantum mechanical calculations. A statistical evaluation showed that the scores can distinguish between conserved and displaced classes of water molecules. The classification system was calibrated and tested on more than 1000 individual water positions. The practical tests of the enthalpic classification included important cases of antiviral drug research on HIV-1 protease inhibitors and the Influenza A ion channel. The methodology of classification is based on open source program packages, Gromacs, Mopac, and MobyWat, freely available to the scientific community.

摘要

水分子在靶标-配体结合中发挥着多种作用。例如,它们可以被配体取代并离开结合口袋的表面,或者在界面中保持保守并与靶标形成桥接。虽然实验技术以越来越快的速度提供靶标-配体复合物结构,但它们在测量详细的水结构方面常常存在局限性。此外,结合热力学的测量无法区分单个水分子的不同作用。然而,对单个水分子作用的这种区分和分类对于以原子分辨率将其应用于药物设计至关重要。在这项研究中,我们研究了一种定量描述配体结合过程中水分子作用的方法。从游离和配体结合的靶分子的完全水合结构开始,使用量子力学计算为每个水分子计算结合焓评分。统计评估表明,这些分数可以区分保守和置换的水分子类别。该分类系统在 1000 多个单独的水分子位置上进行了校准和测试。焓分类的实际测试包括针对 HIV-1 蛋白酶抑制剂和流感 A 离子通道的抗病毒药物研究中的重要案例。分类方法基于开源程序包 Gromacs、Mopac 和 MobyWat,这些程序包可供科学界免费使用。

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J Chem Inf Model. 2024 Aug 26;64(16):6583-6595. doi: 10.1021/acs.jcim.4c00794. Epub 2024 Aug 12.
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本文引用的文献

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Quantum mechanical-based strategies in drug discovery: Finding the pace to new challenges in drug design.基于量子力学的药物发现策略:在药物设计中寻找新挑战的步伐。
Curr Opin Struct Biol. 2024 Aug;87:102870. doi: 10.1016/j.sbi.2024.102870. Epub 2024 Jun 23.
2
Recent advances in computational and experimental protein-ligand affinity determination techniques.计算和实验蛋白质-配体亲和力测定技术的最新进展。
Expert Opin Drug Discov. 2024 Jun;19(6):649-670. doi: 10.1080/17460441.2024.2349169. Epub 2024 May 7.
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Apprehensions and emerging solutions in ML-based protein structure prediction.
基于机器学习的蛋白质结构预测中的担忧与新出现的解决方案。
Curr Opin Struct Biol. 2024 Jun;86:102819. doi: 10.1016/j.sbi.2024.102819. Epub 2024 Apr 16.
4
SQM2.20: Semiempirical quantum-mechanical scoring function yields DFT-quality protein-ligand binding affinity predictions in minutes.SQM2.20:半经验量子力学打分函数可在数分钟内预测出具有 DFT 质量的蛋白-配体结合亲和力。
Nat Commun. 2024 Feb 6;15(1):1127. doi: 10.1038/s41467-024-45431-8.
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Target-ligand binding affinity from single point enthalpy calculation and elemental composition.从单点焓计算和元素组成预测靶标-配体结合亲和力。
Phys Chem Chem Phys. 2023 Nov 29;25(46):31714-31725. doi: 10.1039/d3cp04483a.
6
DOX_BDW: Incorporating Solvation and Desolvation Effects of Cavity Water into Nonfitting Protein-Ligand Binding Affinity Prediction.DOX_BDW:将腔水的溶剂化和去溶剂化效应纳入非拟合蛋白-配体结合亲和力预测。
J Chem Inf Model. 2023 Aug 14;63(15):4850-4863. doi: 10.1021/acs.jcim.3c00776. Epub 2023 Aug 4.
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The Advances and Limitations of the Determination and Applications of Water Structure in Molecular Engineering.水结构在分子工程中的测定和应用的进展与局限性。
Int J Mol Sci. 2023 Jul 22;24(14):11784. doi: 10.3390/ijms241411784.
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Uncovering water effects in protein-ligand recognition: importance in the second hydration shell and binding kinetics.揭示蛋白质-配体识别中的水效应:第二水合壳层和结合动力学中的重要性。
Phys Chem Chem Phys. 2023 Jan 18;25(3):2098-2109. doi: 10.1039/d2cp04584b.
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Int J Mol Sci. 2022 Sep 26;23(19):11316. doi: 10.3390/ijms231911316.
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