• 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

用MM/PBSA方法预测的配体亲和力:对模拟方法和力场的依赖性。

Ligand affinities predicted with the MM/PBSA method: dependence on the simulation method and the force field.

作者信息

Weis Aaron, Katebzadeh Kambiz, Söderhjelm Pär, Nilsson Ingemar, Ryde Ulf

机构信息

Department of Theoretical Chemistry, Lund University, Chemical Centre, P.O. Box 124, SE-221 00 Lund, Sweden.

出版信息

J Med Chem. 2006 Nov 2;49(22):6596-606. doi: 10.1021/jm0608210.

DOI:10.1021/jm0608210
PMID:17064078
Abstract

The free energy of binding between avidin and seven biotin analogues has been calculated with the molecular mechanics Poisson-Boltzmann surface area (MM/PBSA) method. We have studied how the force field and the method to generate geometries affect the calculated binding free energies. Four different force fields were compared, but we saw no significant difference in the results. However, mixing the force fields used for the geometry generation and energy calculations is not recommended. In the molecular dynamics simulations, explicit water molecules must be used, but the size of the simulated system and the boundary conditions are less important. In fact, nonperiodic simulations with a fixed protein outside a relatively small simulated system (18 A) seem to be a proper approach. The mean absolute error was 9-19 kJ/mol, with a standard error of 5-15 kJ/mol, which arises mainly from the entropy term.

摘要

已使用分子力学泊松-玻尔兹曼表面积(MM/PBSA)方法计算了抗生物素蛋白与七种生物素类似物之间的结合自由能。我们研究了力场和生成几何结构的方法如何影响计算出的结合自由能。比较了四种不同的力场,但我们在结果中未发现显著差异。然而,不建议混合用于几何结构生成和能量计算的力场。在分子动力学模拟中,必须使用显式水分子,但模拟系统的大小和边界条件不太重要。实际上,在相对较小的模拟系统(18埃)之外对固定蛋白质进行非周期性模拟似乎是一种合适的方法。平均绝对误差为9 - 19 kJ/mol,标准误差为5 - 15 kJ/mol,这主要源于熵项。

相似文献

1
Ligand affinities predicted with the MM/PBSA method: dependence on the simulation method and the force field.用MM/PBSA方法预测的配体亲和力:对模拟方法和力场的依赖性。
J Med Chem. 2006 Nov 2;49(22):6596-606. doi: 10.1021/jm0608210.
2
Conformational dependence of charges in protein simulations.蛋白质模拟中电荷的构象依赖性。
J Comput Chem. 2009 Apr 15;30(5):750-60. doi: 10.1002/jcc.21097.
3
How to obtain statistically converged MM/GBSA results.如何获得统计学收敛的 MM/GBSA 结果。
J Comput Chem. 2010 Mar;31(4):837-46. doi: 10.1002/jcc.21366.
4
Contributions to the binding free energy of ligands to avidin and streptavidin.配体与抗生物素蛋白和链霉抗生物素蛋白结合自由能的贡献。
Proteins. 2002 May 1;47(2):194-208. doi: 10.1002/prot.10086.
5
An MM/3D-RISM approach for ligand binding affinities.一种用于配体结合亲和力的 MM/3D-RISM 方法。
J Phys Chem B. 2010 Jul 1;114(25):8505-16. doi: 10.1021/jp101461s.
6
Estimates of ligand-binding affinities supported by quantum mechanical methods.量子力学方法支持的配体结合亲和力的估算。
Interdiscip Sci. 2010 Mar;2(1):21-37. doi: 10.1007/s12539-010-0083-0. Epub 2010 Jan 28.
7
Comparison of end-point continuum-solvation methods for the calculation of protein-ligand binding free energies.比较用于计算蛋白质-配体结合自由能的终点连续溶剂化方法。
Proteins. 2012 May;80(5):1326-42. doi: 10.1002/prot.24029. Epub 2012 Feb 13.
8
What determines the van der Waals coefficient beta in the LIE (linear interaction energy) method to estimate binding free energies using molecular dynamics simulations?在使用分子动力学模拟来估计结合自由能的线性相互作用能(LIE)方法中,是什么决定了范德华系数β?
Proteins. 1999 Feb 15;34(3):395-402.
9
Assessing the performance of MM/PBSA and MM/GBSA methods. 3. The impact of force fields and ligand charge models.评估 MM/PBSA 和 MM/GBSA 方法的性能。3. 力场和配体电荷模型的影响。
J Phys Chem B. 2013 Jul 18;117(28):8408-21. doi: 10.1021/jp404160y. Epub 2013 Jul 8.
10
Absolute and relative binding free energy calculations of the interaction of biotin and its analogs with streptavidin using molecular dynamics/free energy perturbation approaches.使用分子动力学/自由能微扰方法计算生物素及其类似物与抗生物素蛋白相互作用的绝对和相对结合自由能。
Proteins. 1993 Jul;16(3):226-45. doi: 10.1002/prot.340160303.

引用本文的文献

1
Look What You Made Me Do: Discerning Feature for Classification of Endocrine-Disrupting Chemical Binding to Steroid Hormone Receptors.看看你让我做了什么:用于识别内分泌干扰化学物质与类固醇激素受体结合的分类特征。
J Chem Inf Model. 2025 Apr 28;65(8):4148-4162. doi: 10.1021/acs.jcim.4c02288. Epub 2025 Apr 8.
2
Molecular Insight into the Effect of HIV-TAT Protein on Amyloid-β Peptides.对HIV-TAT蛋白对β淀粉样肽影响的分子洞察。
ACS Omega. 2024 Jun 13;9(25):27480-27491. doi: 10.1021/acsomega.4c02643. eCollection 2024 Jun 25.
3
Differential Solvent DEEP-STD NMR and MD Simulations Enable the Determinants of the Molecular Recognition of Heparin Oligosaccharides by Antithrombin to Be Disentangled.
差溶剂深度等温核磁和分子动力学模拟解析肝素寡糖与抗凝血酶分子识别的决定因素。
Int J Mol Sci. 2024 Apr 25;25(9):4669. doi: 10.3390/ijms25094669.
4
Understanding the impact of binding free energy and kinetics calculations in modern drug discovery.理解结合自由能和动力学计算在现代药物发现中的影响。
Expert Opin Drug Discov. 2024 Jun;19(6):671-682. doi: 10.1080/17460441.2024.2349149. Epub 2024 May 9.
5
Molecular modeling and phylogenetic analyses highlight the role of amino acid 347 of the N1 subtype neuraminidase in influenza virus host range and interspecies adaptation.分子建模和系统发育分析突出了N1亚型神经氨酸酶的347位氨基酸在流感病毒宿主范围和种间适应性中的作用。
Front Microbiol. 2023 Dec 19;14:1309156. doi: 10.3389/fmicb.2023.1309156. eCollection 2023.
6
Impact of Semiochemicals Binding to Fel d 1 on Its 3D Conformation and Predicted B-Cell Epitopes Using Computational Approaches.利用计算方法研究信息素结合 Fel d 1 对其 3D 构象和预测 B 细胞表位的影响。
Int J Mol Sci. 2023 Jul 20;24(14):11685. doi: 10.3390/ijms241411685.
7
DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein-Ligand Interaction Prediction.DeepBindGCN:将分子向量表示与图卷积神经网络集成用于蛋白质-配体相互作用预测。
Molecules. 2023 Jun 10;28(12):4691. doi: 10.3390/molecules28124691.
8
Discovery of Potential Phytochemicals from Carica papaya Targeting BRCA-1 in Breast Cancer Treatment.从木瓜中发现针对乳腺癌治疗中 BRCA-1 的潜在植物化学物质
Appl Biochem Biotechnol. 2023 Dec;195(12):7159-7175. doi: 10.1007/s12010-023-04473-2. Epub 2023 Mar 29.
9
Using molecular dynamics simulations to evaluate active designs of cephradine hydrolase by molecular mechanics/Poisson-Boltzmann surface area and molecular mechanics/generalized Born surface area methods.利用分子动力学模拟,通过分子力学/泊松-玻尔兹曼表面积法和分子力学/广义玻恩表面积法评估头孢拉定水解酶的活性设计。
RSC Adv. 2019 May 7;9(24):13868-13877. doi: 10.1039/c9ra02406a. eCollection 2019 Apr 30.
10
Importance of protein flexibility in ranking ERK2 Type I inhibitor affinities: a computational study.蛋白质灵活性在排名ERK2 I型抑制剂亲和力中的重要性:一项计算研究。
RSC Adv. 2019 Apr 23;9(22):12441-12454. doi: 10.1039/c9ra01657k. eCollection 2019 Apr 17.