• 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

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。

A Computationally Efficient Method to Generate Plausible Conformers for Ensemble Docking and Binding Free Energy Calculations.

作者信息

Güner Yılmaz Ö Zeynep, Doruker Pemra, Kurkcuoglu Ozge

机构信息

Department of Chemical Engineering, Istanbul Technical University, Istanbul 34467, Turkey.

Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, United States.

出版信息

J Chem Inf Model. 2025 Aug 11;65(15):8137-8157. doi: 10.1021/acs.jcim.5c00431. Epub 2025 Jul 23.

DOI:10.1021/acs.jcim.5c00431
PMID:40696994
Abstract

This study presents a computationally efficient approach to generate plausible protein conformers for ensemble docking to enable evaluations of interactions between ligand and protein for ranking the docked ligands according to their binding affinities. Two binding regions of triose phosphate isomerase (TIM), its catalytic site with DHAP ( TIM), and its dimer interface with 3PG (TIM) involving flexible loops were investigated as case studies. The binding sites of the apo and holo forms were modeled at the atomistic scale (high resolution) while the remaining structure was coarse-grained (low resolution) leading to a mixed-resolution description of the protein. The slowest three normal modes related to the functional dynamics of TIM were obtained using the Anisotropic Network Model and employed to derive 36 conformers of the truncated high-resolution regions by assessing six deformation parameters in both directions of the harmonic motions. Through energy minimization and docking calculations in Glide, optimal extents of deformation were identified. The docked truncated structures were then subjected to independent molecular dynamics (MD) simulations to confirm the interactions of the ligands in the binding sites. To prevent the disintegration of the truncated structure, different buffer zones and harmonic restraints were assessed to finally decide on four distinct zones with restraints of 0, 25, 35, and 50 kcal/mol·Å. Each conformer underwent 900 ns-long simulations across three replicates reaching a total simulation time of 15.2 μs. Binding free energy calculations were conducted using the MM-GBSA approach using the first 50, first 100, first 200, and 300 ns intervals, which pointed out that 100 ns-long simulations were sufficient to estimate the binding affinities for TIM. Results consistently indicated comparable binding energies between the intact and truncated TIM structures underscoring the approach's reliability, where the truncated conformers also offered varying binding site geometries yielding favorable interactions. Comparative docking at the dimer interface of TIM further highlighted species-specific binding dynamics, affirming the methodology's applicability for diverse biological questions and establishing a computationally efficient approach to estimate binding free energy values even for supramolecular assemblages.

摘要

本研究提出了一种计算效率高的方法,用于生成合理的蛋白质构象异构体以进行整体对接,从而能够评估配体与蛋白质之间的相互作用,以便根据对接配体的结合亲和力对其进行排序。作为案例研究,研究了磷酸丙糖异构酶(TIM)的两个结合区域,即其与二羟丙酮磷酸(DHAP)的催化位点(TIM)以及其与3-磷酸甘油(3PG)的二聚体界面(TIM),这些区域涉及柔性环。在原子尺度(高分辨率)上对无配体和有配体形式的结合位点进行建模,而其余结构则进行粗粒化(低分辨率),从而得到蛋白质的混合分辨率描述。使用各向异性网络模型获得与TIM功能动力学相关的最慢的三个正常模式,并通过评估谐波运动两个方向上的六个变形参数,用于推导截短的高分辨率区域的36个构象异构体。通过在Glide中进行能量最小化和对接计算,确定了最佳变形程度。然后对对接的截短结构进行独立的分子动力学(MD)模拟,以确认配体在结合位点的相互作用。为了防止截短结构解体,评估了不同的缓冲区和谐波约束,最终确定了四个不同的区域,约束分别为0、25、35和50千卡/摩尔·埃。每个构象异构体在三个重复实验中进行了900纳秒长的模拟,总模拟时间达到15.2微秒。使用MM-GBSA方法在第一个50纳秒、第一个100纳秒、第一个200纳秒和300纳秒的时间间隔内进行结合自由能计算,结果表明100纳秒长的模拟足以估计TIM的结合亲和力。结果一致表明完整和截短的TIM结构之间的结合能具有可比性,强调了该方法的可靠性,其中截短的构象异构体也提供了不同的结合位点几何形状,产生了有利的相互作用。在TIM二聚体界面处的比较对接进一步突出了物种特异性的结合动力学,证实了该方法对各种生物学问题的适用性,并建立了一种计算效率高的方法来估计结合自由能值,即使对于超分子组装体也是如此。

相似文献

1
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.
2
Prescription of Controlled Substances: Benefits and Risks管制药品的处方:益处与风险
3
Generative adversarial network (GAN) model-based design of potent SARS-CoV-2 M inhibitors using the electron density of ligands and 3D binding pockets: insights from molecular docking, dynamics simulation, and MM-GBSA analysis.基于生成对抗网络(GAN)模型,利用配体电子密度和三维结合口袋设计强效严重急性呼吸综合征冠状病毒2(SARS-CoV-2)M蛋白抑制剂:分子对接、动力学模拟和MM-GBSA分析的见解
Mol Divers. 2024 Nov 30. doi: 10.1007/s11030-024-11047-9.
4
Computational Investigation of Natural Substances as SARS-CoV-2 Main Protease Inhibitors: A Virtual Screening Method.天然物质作为SARS-CoV-2主要蛋白酶抑制剂的计算研究:一种虚拟筛选方法。
Recent Adv Antiinfect Drug Discov. 2025 Jul 17. doi: 10.2174/0127724344379865250709163918.
5
Docking Simulations of G-Protein Coupled Receptors Uncover Crossover Binding Patterns of Diverse Ligands to Angiotensin, Alpha-Adrenergic and Opioid Receptors: Implications for Cardiovascular Disease and Addiction.G蛋白偶联受体的对接模拟揭示了多种配体与血管紧张素、α-肾上腺素能和阿片受体的交叉结合模式:对心血管疾病和成瘾的影响。
Biomolecules. 2025 Jun 11;15(6):855. doi: 10.3390/biom15060855.
6
Evaluating the inhibitory efficacy of Oxalis phytocompounds on monoamine oxidase B: An integrated approach targeting age related neurodegenerative diseases through molecular docking and dynamics simulations.评估酢浆草植物化合物对单胺氧化酶B的抑制功效:通过分子对接和动力学模拟针对年龄相关性神经退行性疾病的综合方法。
PLoS One. 2025 Jul 30;20(7):e0329168. doi: 10.1371/journal.pone.0329168. eCollection 2025.
7
In silico study of a new class of DNA fluorescent probes: docking, molecular dynamics and quantum chemistry calculations.新型DNA荧光探针的计算机模拟研究:对接、分子动力学和量子化学计算
J Mol Model. 2025 Apr 1;31(4):127. doi: 10.1007/s00894-025-06342-7.
8
Novel Thiazole-Based Compounds as Potential Beta-Site Amyloid Precursor Protein Cleaving Enzyme 1 Inhibitors for Alzheimer's Disease.新型噻唑基化合物作为阿尔茨海默病潜在的β-分泌酶1抑制剂
Clin Lab. 2025 Aug 1;71(8). doi: 10.7754/Clin.Lab.2025.241234.
9
Exploration of effective pharmacological inhibitors for NS5 protein through computational approach: A strategy to combat the neglected Kyasanur forest disease virus.通过计算方法探索NS5蛋白的有效药理抑制剂:对抗被忽视的基孔肯雅森林病病毒的策略
PLoS One. 2025 Jul 10;20(7):e0325613. doi: 10.1371/journal.pone.0325613. eCollection 2025.
10
Elucidating the Mechanism of Xiaoqinglong Decoction in Chronic Urticaria Treatment: An Integrated Approach of Network Pharmacology, Bioinformatics Analysis, Molecular Docking, and Molecular Dynamics Simulations.阐明小青龙汤治疗慢性荨麻疹的机制:网络药理学、生物信息学分析、分子对接和分子动力学模拟的综合方法
Curr Comput Aided Drug Des. 2025 Jul 16. doi: 10.2174/0115734099391401250701045509.

本文引用的文献

1
Emerging frontiers in protein structure prediction following the AlphaFold revolution.继AlphaFold革命之后蛋白质结构预测的新兴前沿领域。
J R Soc Interface. 2025 Apr;22(225):20240886. doi: 10.1098/rsif.2024.0886. Epub 2025 Apr 16.
2
AlphaFold predictions of fold-switched conformations are driven by structure memorization.AlphaFold 对构象转换构象的预测是由结构记忆驱动的。
Nat Commun. 2024 Aug 24;15(1):7296. doi: 10.1038/s41467-024-51801-z.
3
A computational workflow to determine drug candidates alternative to aminoglycosides targeting the decoding center of E. coli ribosome.
一种计算工作流程,用于确定针对大肠杆菌核糖体解码中心的替代氨基糖苷类药物的候选药物。
J Mol Graph Model. 2024 Sep;131:108817. doi: 10.1016/j.jmgm.2024.108817. Epub 2024 Jul 3.
4
Ligand Binding Affinity Prediction for Membrane Proteins with Alchemical Free Energy Calculation Methods.基于热力学积分方法的膜蛋白配体结合亲和力预测。
J Chem Inf Model. 2024 Jul 22;64(14):5671-5679. doi: 10.1021/acs.jcim.4c00764. Epub 2024 Jul 3.
5
Assessing the Martini 3 protein model: A review of its path and potential.评估 Martini 3 蛋白模型:路径与潜力综述。
Biochim Biophys Acta Proteins Proteom. 2024 Jul 1;1872(4):141014. doi: 10.1016/j.bbapap.2024.141014. Epub 2024 Apr 25.
6
Applications of Free-Energy Calculations to Biomolecular Processes. A Collection.自由能计算在生物分子过程中的应用。论文集。
J Chem Inf Model. 2024 Apr 8;64(7):2129-2131. doi: 10.1021/acs.jcim.4c00349.
7
The maximal and current accuracy of rigorous protein-ligand binding free energy calculations.严格的蛋白质-配体结合自由能计算的最大及当前精度。
Commun Chem. 2023 Oct 14;6(1):222. doi: 10.1038/s42004-023-01019-9.
8
Flexible Gaussian Accelerated Molecular Dynamics to Enhance Biological Sampling.灵活的高斯加速分子动力学以增强生物采样。
J Chem Theory Comput. 2023 Sep 26;19(18):6521-6531. doi: 10.1021/acs.jctc.3c00619. Epub 2023 Aug 30.
9
Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning.利用细胞内光交联质谱和深度学习进行蛋白质结构预测。
Nat Biotechnol. 2023 Dec;41(12):1810-1819. doi: 10.1038/s41587-023-01704-z. Epub 2023 Mar 20.
10
Recent Advances in Alchemical Binding Free Energy Calculations for Drug Discovery.药物发现中炼金术结合自由能计算的最新进展。
ACS Med Chem Lett. 2023 Feb 16;14(3):244-250. doi: 10.1021/acsmedchemlett.2c00541. eCollection 2023 Mar 9.