• 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

整体模拟和实验自由能分布:作为 SMYD3 抑制剂的异噁唑酰胺的评估和特征分析。

Ensemble Simulations and Experimental Free Energy Distributions: Evaluation and Characterization of Isoxazole Amides as SMYD3 Inhibitors.

机构信息

Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, U.K.

GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY, U.K.

出版信息

J Chem Inf Model. 2022 May 23;62(10):2561-2570. doi: 10.1021/acs.jcim.2c00255. Epub 2022 May 4.

DOI:10.1021/acs.jcim.2c00255
PMID:35508076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9131449/
Abstract

Optimization of binding affinities for ligands to their target protein is a primary objective in rational drug discovery. Herein, we report on a collaborative study that evaluates various compounds designed to bind to the SET and MYND domain-containing protein 3 (SMYD3). SMYD3 is a histone methyltransferase and plays an important role in transcriptional regulation in cell proliferation, cell cycle, and human carcinogenesis. Experimental measurements using the scintillation proximity assay show that the distributions of binding free energies from a large number of independent measurements exhibit non-normal properties. We use ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent) and TIES (thermodynamic integration with enhanced sampling) protocols to predict the binding free energies and to provide a detailed chemical insight into the nature of ligand-protein binding. Our results show that the 1-trajectory ESMACS protocol works well for the set of ligands studied here. Although one unexplained outlier exists, we obtain excellent statistical ranking across the set of compounds from the ESMACS protocol and good agreement between calculations and experiments for the relative binding free energies from the TIES protocol. ESMACS and TIES are again found to be powerful protocols for the accurate comparison of the binding free energies.

摘要

优化配体与靶蛋白的结合亲和力是合理药物发现的主要目标。本文报道了一项合作研究,评估了各种旨在与 SET 和 MYND 结构域蛋白 3(SMYD3)结合的化合物。SMYD3 是一种组蛋白甲基转移酶,在细胞增殖、细胞周期和人类致癌作用中的转录调控中发挥重要作用。使用闪烁接近测定法的实验测量表明,来自大量独立测量的结合自由能分布表现出非正态特性。我们使用 ESMACS(带有连续溶剂近似的分子动力学增强采样)和 TIES(具有增强采样的热力学积分)方案来预测结合自由能,并提供配体-蛋白质结合性质的详细化学见解。我们的结果表明,1 轨 ESMACS 方案在此研究的配体集中效果很好。尽管存在一个未解释的异常值,但我们从 ESMACS 方案获得了化合物集的出色统计排名,并且从 TIES 方案获得了计算和实验之间的相对结合自由能的良好一致性。ESMACS 和 TIES 再次被发现是准确比较结合自由能的有力方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/e2d4d44c1bc1/ci2c00255_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/dd3ddceef512/ci2c00255_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/20b29c956f6a/ci2c00255_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/b68e1a02894a/ci2c00255_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/f3317962070c/ci2c00255_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/c64646154364/ci2c00255_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/e2d4d44c1bc1/ci2c00255_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/dd3ddceef512/ci2c00255_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/20b29c956f6a/ci2c00255_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/b68e1a02894a/ci2c00255_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/f3317962070c/ci2c00255_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/c64646154364/ci2c00255_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad88/9131449/e2d4d44c1bc1/ci2c00255_0007.jpg

相似文献

1
Ensemble Simulations and Experimental Free Energy Distributions: Evaluation and Characterization of Isoxazole Amides as SMYD3 Inhibitors.整体模拟和实验自由能分布:作为 SMYD3 抑制剂的异噁唑酰胺的评估和特征分析。
J Chem Inf Model. 2022 May 23;62(10):2561-2570. doi: 10.1021/acs.jcim.2c00255. Epub 2022 May 4.
2
The performance of ensemble-based free energy protocols in computing binding affinities to ROS1 kinase.基于集成的自由能计算方法在计算 ROS1 激酶结合亲和力中的应用。
Sci Rep. 2022 Jun 21;12(1):10433. doi: 10.1038/s41598-022-13319-6.
3
Rapid and Reliable Binding Affinity Prediction of Bromodomain Inhibitors: A Computational Study.溴结构域抑制剂的快速可靠结合亲和力预测:一项计算研究。
J Chem Theory Comput. 2017 Feb 14;13(2):784-795. doi: 10.1021/acs.jctc.6b00794. Epub 2017 Jan 18.
4
Evaluation and Characterization of Trk Kinase Inhibitors for the Treatment of Pain: Reliable Binding Affinity Predictions from Theory and Computation.评价和鉴定治疗疼痛的原肌球蛋白受体激酶抑制剂:来自理论和计算的可靠结合亲和力预测。
J Chem Inf Model. 2017 Apr 24;57(4):897-909. doi: 10.1021/acs.jcim.6b00780. Epub 2017 Apr 4.
5
Hit-to-lead and lead optimization binding free energy calculations for G protein-coupled receptors.针对G蛋白偶联受体的从命中到先导物及先导物优化的结合自由能计算
Interface Focus. 2020 Dec 6;10(6):20190128. doi: 10.1098/rsfs.2019.0128. Epub 2020 Oct 16.
6
Large Scale Study of Ligand-Protein Relative Binding Free Energy Calculations: Actionable Predictions from Statistically Robust Protocols.大规模配体-蛋白相对结合自由能计算研究:来自统计稳健协议的可操作预测。
J Chem Theory Comput. 2022 Apr 12;18(4):2687-2702. doi: 10.1021/acs.jctc.1c01288. Epub 2022 Mar 16.
7
Discovery of an Allosteric Ligand Binding Site in SMYD3 Lysine Methyltransferase.发现 SMYD3 赖氨酸甲基转移酶的别构配体结合位点。
Chembiochem. 2021 May 4;22(9):1597-1608. doi: 10.1002/cbic.202000736. Epub 2021 Feb 11.
8
Smyd3 open & closed lock mechanism for substrate recruitment: The hinge motion of C-terminal domain inferred from μ-second molecular dynamics simulations.Smyd3用于底物募集的开放与关闭锁定机制:从微秒级分子动力学模拟推断的C末端结构域的铰链运动。
Biochim Biophys Acta. 2016 Jul;1860(7):1466-74. doi: 10.1016/j.bbagen.2016.04.006. Epub 2016 Apr 13.
9
Application of the ESMACS Binding Free Energy Protocol to a Multi-Binding Site Lactate Dehydogenase A Ligand Dataset.ESMACS结合自由能协议在多结合位点乳酸脱氢酶A配体数据集上的应用。
Adv Theory Simul. 2020 Jan;3(1):1900194. doi: 10.1002/adts.201900194. Epub 2019 Nov 18.
10
Integrated computational and biosensor-based strategies for the discovery of allosteric SMYD3 ligands using diperodon as a starting point.以地布碘铵为起点,用于发现变构SMYD3配体的综合计算和基于生物传感器的策略。
Bioorg Med Chem. 2025 Apr 15;121:118134. doi: 10.1016/j.bmc.2025.118134. Epub 2025 Feb 25.

引用本文的文献

1
Equilibrium and Nonequilibrium Ensemble Methods for Accurate, Precise and Reproducible Absolute Binding Free Energy Calculations.用于准确、精确和可重复的绝对结合自由能计算的平衡与非平衡系综方法。
J Chem Theory Comput. 2025 Jan 14;21(1):440-462. doi: 10.1021/acs.jctc.4c01389. Epub 2024 Dec 16.
2
Integration of molecular coarse-grained model into geometric representation learning framework for protein-protein complex property prediction.将分子粗粒度模型集成到几何表示学习框架中,用于预测蛋白质-蛋白质复合物性质。
Nat Commun. 2024 Nov 7;15(1):9629. doi: 10.1038/s41467-024-53583-w.
3
Optimal Molecular Design: Generative Active Learning Combining REINVENT with Precise Binding Free Energy Ranking Simulations.

本文引用的文献

1
Alchemical Free Energy Estimators and Molecular Dynamics Engines: Accuracy, Precision, and Reproducibility.炼金术自由能估算器和分子动力学引擎:准确性、精度和可重复性。
J Chem Theory Comput. 2022 Jun 14;18(6):3972-3987. doi: 10.1021/acs.jctc.2c00114. Epub 2022 May 24.
2
Large Scale Study of Ligand-Protein Relative Binding Free Energy Calculations: Actionable Predictions from Statistically Robust Protocols.大规模配体-蛋白相对结合自由能计算研究:来自统计稳健协议的可操作预测。
J Chem Theory Comput. 2022 Apr 12;18(4):2687-2702. doi: 10.1021/acs.jctc.1c01288. Epub 2022 Mar 16.
3
Application of the ESMACS Binding Free Energy Protocol to a Multi-Binding Site Lactate Dehydogenase A Ligand Dataset.
最优分子设计:结合REINVENT与精确结合自由能排序模拟的生成式主动学习
J Chem Theory Comput. 2024 Sep 3;20(18):8308-28. doi: 10.1021/acs.jctc.4c00576.
4
Ensemble-Based Approaches Ensure Reliability and Reproducibility.基于集成的方法可确保可靠性和可重复性。
J Chem Inf Model. 2023 Nov 27;63(22):6959-6963. doi: 10.1021/acs.jcim.3c01654. Epub 2023 Nov 15.
5
Comparison of Equilibrium and Nonequilibrium Approaches for Relative Binding Free Energy Predictions.平衡和非平衡方法预测相对结合自由能的比较。
J Chem Theory Comput. 2023 Nov 14;19(21):7846-7860. doi: 10.1021/acs.jctc.3c00842. Epub 2023 Oct 20.
6
The performance of ensemble-based free energy protocols in computing binding affinities to ROS1 kinase.基于集成的自由能计算方法在计算 ROS1 激酶结合亲和力中的应用。
Sci Rep. 2022 Jun 21;12(1):10433. doi: 10.1038/s41598-022-13319-6.
7
Alchemical Free Energy Estimators and Molecular Dynamics Engines: Accuracy, Precision, and Reproducibility.炼金术自由能估算器和分子动力学引擎:准确性、精度和可重复性。
J Chem Theory Comput. 2022 Jun 14;18(6):3972-3987. doi: 10.1021/acs.jctc.2c00114. Epub 2022 May 24.
8
Large Scale Study of Ligand-Protein Relative Binding Free Energy Calculations: Actionable Predictions from Statistically Robust Protocols.大规模配体-蛋白相对结合自由能计算研究:来自统计稳健协议的可操作预测。
J Chem Theory Comput. 2022 Apr 12;18(4):2687-2702. doi: 10.1021/acs.jctc.1c01288. Epub 2022 Mar 16.
ESMACS结合自由能协议在多结合位点乳酸脱氢酶A配体数据集上的应用。
Adv Theory Simul. 2020 Jan;3(1):1900194. doi: 10.1002/adts.201900194. Epub 2019 Nov 18.
4
Accuracy and Precision of Alchemical Relative Free Energy Predictions with and without Replica-Exchange.有无副本交换时炼金术相对自由能预测的准确性和精确性
Adv Theory Simul. 2020 Jan;3(1):1900195. doi: 10.1002/adts.201900195. Epub 2019 Nov 27.
5
Ensembles Are Required to Handle Aleatoric and Parametric Uncertainty in Molecular Dynamics Simulation.集合是处理分子动力学模拟中的随机不确定性和参数不确定性所必需的。
J Chem Theory Comput. 2021 Aug 10;17(8):5187-5197. doi: 10.1021/acs.jctc.1c00526. Epub 2021 Jul 19.
6
Uncertainty quantification in classical molecular dynamics.经典分子动力学中的不确定性量化。
Philos Trans A Math Phys Eng Sci. 2021 May 17;379(2197):20200082. doi: 10.1098/rsta.2020.0082. Epub 2021 Mar 29.
7
Sensitivity of Binding Free Energy Calculations to Initial Protein Crystal Structure.结合自由能计算对初始蛋白质晶体结构的敏感性。
J Chem Theory Comput. 2021 Mar 9;17(3):1806-1821. doi: 10.1021/acs.jctc.0c00972. Epub 2021 Feb 3.
8
TIES 20: Relative Binding Free Energy with a Flexible Superimposition Algorithm and Partial Ring Morphing.TIES 20:使用柔性叠加算法和部分环变形的相对结合自由能。
J Chem Theory Comput. 2021 Feb 9;17(2):1250-1265. doi: 10.1021/acs.jctc.0c01179. Epub 2021 Jan 25.
9
Rapid, accurate, precise and reproducible ligand-protein binding free energy prediction.快速、准确、精确且可重复的配体-蛋白质结合自由能预测。
Interface Focus. 2020 Dec 6;10(6):20200007. doi: 10.1098/rsfs.2020.0007. Epub 2020 Oct 16.
10
Hit-to-lead and lead optimization binding free energy calculations for G protein-coupled receptors.针对G蛋白偶联受体的从命中到先导物及先导物优化的结合自由能计算
Interface Focus. 2020 Dec 6;10(6):20190128. doi: 10.1098/rsfs.2019.0128. Epub 2020 Oct 16.