• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用解离平行级联选择分子动力学和马尔可夫状态模型计算的蛋白质/配体复合物的结合自由能。

Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model.

作者信息

Hata Hiroaki, Phuoc Tran Duy, Marzouk Sobeh Mohamed, Kitao Akio

机构信息

School of Life Science and Technology, Tokyo Institute of Technology, Meguro-ku, Tokyo 152-8550, Japan.

Physics Department, Faculty of Science, Ain Shams University, Cairo 11566, Egypt.

出版信息

Biophys Physicobiol. 2021 Dec 4;18:305-316. doi: 10.2142/biophysico.bppb-v18.037. eCollection 2021.

DOI:10.2142/biophysico.bppb-v18.037
PMID:35178333
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8694779/
Abstract

We recently proposed a computational procedure to simulate the dissociation of protein/ligand complexes using the dissociation Parallel Cascade Selection Molecular Dynamics simulation (dPaCS-MD) method and to analyze the generated trajectories using the Markov state model (MSM). This procedure, called dPaCS-MD/MSM, enables calculation of the dissociation free energy profile and the standard binding free energy. To examine whether this method can reproduce experimentally determined binding free energies for a variety of systems, we used it to investigate the dissociation of three protein/ligand complexes: trypsin/benzamine, FKBP/FK506, and adenosine A receptor/T4E. First, dPaCS-MD generated multiple dissociation pathways within a reasonable computational time for all the complexes, although the complexes differed significantly in the size of the molecules and in intermolecular interactions. Subsequent MSM analyses produced free energy profiles for the dissociations, which provided insights into how each ligand dissociates from the protein. The standard binding free energies obtained by dPaCS-MD/MSM are in good agreement with experimental values for all the complexes. We conclude that dPaCS-MD/MSM can accurately calculate the binding free energies of these complexes.

摘要

我们最近提出了一种计算程序,使用解离平行级联选择分子动力学模拟(dPaCS-MD)方法来模拟蛋白质/配体复合物的解离,并使用马尔可夫状态模型(MSM)分析生成的轨迹。这个程序称为dPaCS-MD/MSM,能够计算解离自由能分布和标准结合自由能。为了检验该方法是否能够重现各种系统实验测定的结合自由能,我们用它来研究三种蛋白质/配体复合物的解离:胰蛋白酶/苯胺、FKBP/FK506和腺苷A受体/T4E。首先,dPaCS-MD在合理的计算时间内为所有复合物生成了多条解离途径,尽管这些复合物在分子大小和分子间相互作用方面存在显著差异。随后的MSM分析产生了解离的自由能分布,这为每个配体如何从蛋白质上解离提供了见解。通过dPaCS-MD/MSM获得的标准结合自由能与所有复合物的实验值高度吻合。我们得出结论,dPaCS-MD/MSM能够准确计算这些复合物的结合自由能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/8694779/f13d2234b62a/18_305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/8694779/1f74b63e8de0/18_305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/8694779/b5d75068a2ca/18_305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/8694779/f13d2234b62a/18_305-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/8694779/1f74b63e8de0/18_305-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/8694779/b5d75068a2ca/18_305-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2e/8694779/f13d2234b62a/18_305-g003.jpg

相似文献

1
Binding free energy of protein/ligand complexes calculated using dissociation Parallel Cascade Selection Molecular Dynamics and Markov state model.使用解离平行级联选择分子动力学和马尔可夫状态模型计算的蛋白质/配体复合物的结合自由能。
Biophys Physicobiol. 2021 Dec 4;18:305-316. doi: 10.2142/biophysico.bppb-v18.037. eCollection 2021.
2
Dissociation Pathways of the p53 DNA Binding Domain from DNA and Critical Roles of Key Residues Elucidated by dPaCS-MD/MSM.通过dPaCS-MD/MSM阐明p53 DNA结合结构域与DNA的解离途径及关键残基的重要作用
J Chem Inf Model. 2022 Mar 14;62(5):1294-1307. doi: 10.1021/acs.jcim.1c01508. Epub 2022 Mar 2.
3
Dissociation Process of a MDM2/p53 Complex Investigated by Parallel Cascade Selection Molecular Dynamics and the Markov State Model.通过平行级联选择分子动力学和马氏状态模型研究 MDM2/p53 复合物的离解过程。
J Phys Chem B. 2019 Mar 21;123(11):2469-2478. doi: 10.1021/acs.jpcb.8b10309. Epub 2019 Jan 30.
4
Protein-Ligand Dissociation Simulated by Parallel Cascade Selection Molecular Dynamics.平行级联选择分子动力学模拟蛋白质-配体解离。
J Chem Theory Comput. 2018 Jan 9;14(1):404-417. doi: 10.1021/acs.jctc.7b00504. Epub 2017 Dec 8.
5
Molecular Simulation to Investigate Open-Close Motion of a Flagellar Export Apparatus Protein FlhA.运用分子模拟技术研究鞭毛出口装置蛋白 FlhA 的开合运动
Methods Mol Biol. 2023;2646:27-34. doi: 10.1007/978-1-0716-3060-0_3.
6
Inhibition of the hexamerization of SARS-CoV-2 endoribonuclease and modeling of RNA structures bound to the hexamer.抑制 SARS-CoV-2 内切核糖核酸酶的六聚化及与六聚体结合的 RNA 结构建模。
Sci Rep. 2022 Mar 9;12(1):3860. doi: 10.1038/s41598-022-07792-2.
7
PaCS-Toolkit: Optimized Software Utilities for Parallel Cascade Selection Molecular Dynamics (PaCS-MD) Simulations and Subsequent Analyses.PaCS-Toolkit:用于并行级联选择分子动力学 (PaCS-MD) 模拟和后续分析的优化软件实用程序。
J Phys Chem B. 2024 Apr 18;128(15):3631-3642. doi: 10.1021/acs.jpcb.4c01271. Epub 2024 Apr 5.
8
Free-Energy Profiles for Membrane Permeation of Compounds Calculated Using Rare-Event Sampling Methods.使用稀有事件采样方法计算的化合物膜渗透自由能分布。
J Chem Inf Model. 2023 Jan 9;63(1):259-269. doi: 10.1021/acs.jcim.2c01097. Epub 2022 Dec 27.
9
Hybrid Cascade-Type Molecular Dynamics with a Markov State Model for Efficient Free Energy Calculations.混合级联型分子动力学与马尔可夫状态模型在高效自由能计算中的应用。
J Chem Theory Comput. 2019 Jan 8;15(1):680-687. doi: 10.1021/acs.jctc.8b00802. Epub 2018 Dec 7.
10
Parallel cascade selection molecular dynamics to screen for protein complexes generated by rigid docking.平行级联选择分子动力学用于筛选刚性对接产生的蛋白质复合物。
J Mol Graph Model. 2019 Nov;92:94-99. doi: 10.1016/j.jmgm.2019.07.007. Epub 2019 Jul 16.

引用本文的文献

1
A novel mRNA-based multi-epitope vaccine for rabies virus computationally designed via reverse vaccinology and immunoinformatics.一种通过反向疫苗学和免疫信息学进行计算机设计的新型基于mRNA的狂犬病病毒多表位疫苗。
Sci Rep. 2025 Aug 19;15(1):30355. doi: 10.1038/s41598-025-16143-w.
2
A Computationally Efficient Method to Generate Plausible Conformers for Ensemble Docking and Binding Free Energy Calculations.一种用于生成合理构象异构体以进行 ensemble 对接和结合自由能计算的计算高效方法。
J Chem Inf Model. 2025 Aug 11;65(15):8137-8157. doi: 10.1021/acs.jcim.5c00431. Epub 2025 Jul 23.
3
RNA Binding Mechanism of the FUS Zinc Finger in Concert with Its Flanking Intrinsically Disordered Region.

本文引用的文献

1
MSMPathfinder: Identification of Pathways in Markov State Models.MSMPathfinder:马尔可夫状态模型中的通路识别。
J Chem Theory Comput. 2020 Dec 8;16(12):7874-7882. doi: 10.1021/acs.jctc.0c00774. Epub 2020 Nov 3.
2
High pressure inhibits signaling protein binding to the flagellar motor and bacterial chemotaxis through enhanced hydration.高压通过增强水合作用抑制信号蛋白与鞭毛马达和细菌趋化性的结合。
Sci Rep. 2020 Feb 11;10(1):2351. doi: 10.1038/s41598-020-59172-3.
3
Novel Directions in Free Energy Methods and Applications.自由能方法及其应用的新方向
FUS锌指与其侧翼内在无序区域协同作用的RNA结合机制
J Chem Inf Model. 2025 Aug 11;65(15):8262-8275. doi: 10.1021/acs.jcim.5c01059. Epub 2025 Jul 22.
4
Design a multi-epitope vaccine candidate against Acinetobacter baumannii using advanced computational methods.使用先进的计算方法设计一种针对鲍曼不动杆菌的多表位疫苗候选物。
AMB Express. 2025 Jul 12;15(1):103. doi: 10.1186/s13568-025-01913-6.
5
PLAIG: Protein-Ligand Binding Affinity Prediction Using a Novel Interaction-Based Graph Neural Network Framework.PLAIG:使用基于新型相互作用的图神经网络框架进行蛋白质-配体结合亲和力预测。
ACS Bio Med Chem Au. 2025 Apr 29;5(3):447-463. doi: 10.1021/acsbiomedchemau.5c00053. eCollection 2025 Jun 18.
6
Anti-Tyrosinase and Radical Scavenging Activities of Selected Cassipourea Plants and Isolated 7-Methoxygeranin A: Traditional Use as Skin Lighteners.几种红厚壳属植物及分离得到的7-甲氧基香叶木素A的抗酪氨酸酶和自由基清除活性:作为皮肤美白剂的传统用途
J Exp Pharmacol. 2025 May 31;17:287-306. doi: 10.2147/JEP.S504759. eCollection 2025.
7
How Omecamtiv Modulates Myosin Motion.奥米卡替如何调节肌球蛋白运动。
Biochemistry. 2025 May 20;64(10):2318-2331. doi: 10.1021/acs.biochem.4c00807. Epub 2025 May 6.
8
Bioprospection of metabolites against oxidative stress and inflammation: An and exploration.针对氧化应激和炎症的代谢物生物勘探:一项分析与探索。
Int J Med Sci. 2025 Mar 12;22(8):1837-1851. doi: 10.7150/ijms.109116. eCollection 2025.
9
Investigating small molecules in propolis as Nipah virus glycoprotein (NiV-G) inhibitors through molecular interaction studies.通过分子相互作用研究,探究蜂胶中的小分子作为尼帕病毒糖蛋白(NiV-G)抑制剂的作用。
Heliyon. 2025 Feb 10;11(4):e42595. doi: 10.1016/j.heliyon.2025.e42595. eCollection 2025 Feb 28.
10
Molecular modelling and experimental validation of mangiferin and its related compounds as quorum sensing modulators of Pseudomonas aeruginosa.芒果苷及其相关化合物作为铜绿假单胞菌群体感应调节剂的分子建模与实验验证
Arch Microbiol. 2025 Feb 8;207(3):53. doi: 10.1007/s00203-025-04240-3.
J Chem Inf Model. 2020 Jan 27;60(1):1-5. doi: 10.1021/acs.jcim.9b01174.
4
Dissociation Process of a MDM2/p53 Complex Investigated by Parallel Cascade Selection Molecular Dynamics and the Markov State Model.通过平行级联选择分子动力学和马氏状态模型研究 MDM2/p53 复合物的离解过程。
J Phys Chem B. 2019 Mar 21;123(11):2469-2478. doi: 10.1021/acs.jpcb.8b10309. Epub 2019 Jan 30.
5
On-the-Fly Specifications of Reaction Coordinates in Parallel Cascade Selection Molecular Dynamics Accelerate Conformational Transitions of Proteins.在线反应坐标规格化在平行级联选择分子动力学中加速蛋白质构象转变。
J Chem Theory Comput. 2018 Jun 12;14(6):3332-3341. doi: 10.1021/acs.jctc.8b00264. Epub 2018 May 22.
6
Protein-Ligand Dissociation Simulated by Parallel Cascade Selection Molecular Dynamics.平行级联选择分子动力学模拟蛋白质-配体解离。
J Chem Theory Comput. 2018 Jan 9;14(1):404-417. doi: 10.1021/acs.jctc.7b00504. Epub 2017 Dec 8.
7
Predicting Binding Free Energies: Frontiers and Benchmarks.预测结合自由能:前沿和基准。
Annu Rev Biophys. 2017 May 22;46:531-558. doi: 10.1146/annurev-biophys-070816-033654. Epub 2017 Apr 7.
8
Weighted Ensemble Simulation: Review of Methodology, Applications, and Software.加权集成模拟:方法、应用及软件综述
Annu Rev Biophys. 2017 May 22;46:43-57. doi: 10.1146/annurev-biophys-070816-033834. Epub 2017 Mar 1.
9
Adaptive Multilevel Splitting Method for Molecular Dynamics Calculation of Benzamidine-Trypsin Dissociation Time.用于苯甲脒-胰蛋白酶解离时间分子动力学计算的自适应多级分裂方法
J Chem Theory Comput. 2016 Jun 14;12(6):2983-9. doi: 10.1021/acs.jctc.6b00277. Epub 2016 May 18.
10
Role of Molecular Dynamics and Related Methods in Drug Discovery.分子动力学及相关方法在药物发现中的作用。
J Med Chem. 2016 May 12;59(9):4035-61. doi: 10.1021/acs.jmedchem.5b01684. Epub 2016 Feb 8.