• 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

明确溶剂化水合基准蛋白质及其在 PBSA 方法中的应用。

Explicit Solvent Hydration Benchmark for Proteins with Application to the PBSA Method.

机构信息

Centre of New Technologies, University of Warsaw , Banacha 2c, 02-097 Warsaw, Poland.

出版信息

J Chem Theory Comput. 2017 Jun 13;13(6):2762-2776. doi: 10.1021/acs.jctc.7b00247. Epub 2017 May 24.

DOI:10.1021/acs.jctc.7b00247
PMID:28498675
Abstract

Explicit and implicit solvent models have a proven record of delivering hydration free energies of small, druglike solutes in reasonable agreement with experiment. Hydration of macromolecules, such as proteins, is to a large extent uncharted territory, with few results shedding light on quantitative consistency between different solvent models, let alone their ability to reproduce real water. In this work, based on extensive explicit solvent simulations employing TIP3P and SPC/E water models we analyze hydration free energy changes between fixed conformations of 5 diverse proteins, including large multidomain structures. For the two solvent models we find better agreement in electrostatic rather than nonpolar contributions (RMSE of 2.3 and 2.7 kcal/mol, respectively), even though absolute values of the latter are typically an order of magnitude smaller. We also highlight the importance of finite size corrections to relative protein hydration free energies, which turn out to be rather large, on the order of several kcal/mol, and are necessary for proper interpretation of results obtained under periodic boundary conditions. We further compare gathered data with predictions of the implicit solvent approach based on the Poisson equation and the surface or volume based nonpolar term. We find definitely lesser consistency than between the two explicit models (RMSE between implicit and TIP3 results of 11.3 and 8.4 kcal/mol for electrostatic and nonpolar contributions, respectively). In the process we determine the value of the protein dielectric constant and the geometric model for the dielectric boundary that provide for the best agreement. Finally, we evaluate the usefulness of surface and volume based models of nonpolar contributions to hydration free energy of large biomolecules.

摘要

显式溶剂模型和隐式溶剂模型在将小分子药物类溶质的水合自由能合理地与实验结果吻合方面有着良好的记录。然而,对于像蛋白质这样的生物大分子的水合作用,在很大程度上仍然是未知的领域,几乎没有结果可以说明不同溶剂模型之间的定量一致性,更不用说它们复制真实水的能力了。在这项工作中,我们基于广泛的显式溶剂模拟,使用 TIP3P 和 SPC/E 水模型,分析了 5 种不同蛋白质(包括大型多结构域结构)固定构象之间的水合自由能变化。对于这两种溶剂模型,我们发现静电贡献的一致性要好于非极性贡献(分别为 2.3 和 2.7 kcal/mol 的 RMSE),尽管后者的绝对值通常小一个数量级。我们还强调了对相对蛋白质水合自由能进行有限尺寸修正的重要性,这些修正相当大,约为几个 kcal/mol,对于正确解释在周期性边界条件下获得的结果是必要的。我们还将收集到的数据与基于泊松方程和基于表面或体积的非极性项的隐式溶剂方法的预测进行了比较。我们发现,与两种显式模型之间的一致性相比,肯定要差一些(对于静电和非极性贡献,隐式和 TIP3 结果之间的 RMSE 分别为 11.3 和 8.4 kcal/mol)。在这个过程中,我们确定了蛋白质介电常数的值和介电边界的几何模型,以提供最佳的一致性。最后,我们评估了基于表面和体积的非极性贡献模型对大型生物分子水合自由能的有用性。

相似文献

1
Explicit Solvent Hydration Benchmark for Proteins with Application to the PBSA Method.明确溶剂化水合基准蛋白质及其在 PBSA 方法中的应用。
J Chem Theory Comput. 2017 Jun 13;13(6):2762-2776. doi: 10.1021/acs.jctc.7b00247. Epub 2017 May 24.
2
Surveying implicit solvent models for estimating small molecule absolute hydration free energies.评估小分子绝对水合自由能的隐溶剂模型综述。
J Comput Chem. 2011 Oct;32(13):2909-23. doi: 10.1002/jcc.21876. Epub 2011 Jul 6.
3
Protein-Ligand Electrostatic Binding Free Energies from Explicit and Implicit Solvation.基于显式和隐式溶剂化的蛋白质-配体静电结合自由能
J Chem Theory Comput. 2015 Sep 8;11(9):4450-9. doi: 10.1021/acs.jctc.5b00483. Epub 2015 Aug 21.
4
Connecting free energy surfaces in implicit and explicit solvent: an efficient method to compute conformational and solvation free energies.连接隐式溶剂和显式溶剂中的自由能面:一种计算构象和溶剂化自由能的有效方法。
J Chem Theory Comput. 2015 Jun 9;11(6):2868-78. doi: 10.1021/acs.jctc.5b00264.
5
Quantitative analysis of Poisson-Boltzmann implicit solvent in molecular dynamics.泊松-玻尔兹曼隐式溶剂的分子动力学定量分析。
Phys Chem Chem Phys. 2010 Feb 7;12(5):1194-202. doi: 10.1039/b917775b. Epub 2009 Dec 23.
6
Finite-size effect on the charging free energy of protein in explicit solvent.有限尺寸对蛋白质在显式溶剂中充电自由能的影响。
J Chem Theory Comput. 2015 Jan 13;11(1):215-23. doi: 10.1021/ct5008394.
7
Comparison of charge models for fixed-charge force fields: small-molecule hydration free energies in explicit solvent.固定电荷力场中电荷模型的比较:明确溶剂中的小分子水合自由能
J Phys Chem B. 2007 Mar 8;111(9):2242-54. doi: 10.1021/jp0667442. Epub 2007 Feb 10.
8
Hydration in discrete water (II): from neutral to charged solutes.离散水中的水合作用(II):从中性溶质到带电溶质
J Phys Chem B. 2015 May 14;119(19):5970-8. doi: 10.1021/acs.jpcb.5b01982. Epub 2015 Apr 30.
9
The SGB/NP hydration free energy model based on the surface generalized born solvent reaction field and novel nonpolar hydration free energy estimators.基于表面广义玻恩溶剂反应场和新型非极性水化自由能估计器的SGB/NP水化自由能模型。
J Comput Chem. 2002 Apr 15;23(5):517-29. doi: 10.1002/jcc.10045.
10
Accuracy comparison of several common implicit solvent models and their implementations in the context of protein-ligand binding.几种常见隐式溶剂模型在蛋白质-配体结合背景下的准确性比较及其实现方式
J Mol Graph Model. 2017 Mar;72:70-80. doi: 10.1016/j.jmgm.2016.12.011. Epub 2016 Dec 21.

引用本文的文献

1
A Stochastic Landscape Approach for Protein Folding State Classification.基于随机景观模型的蛋白质折叠态分类方法。
J Chem Theory Comput. 2024 Jul 9;20(13):5428-5438. doi: 10.1021/acs.jctc.4c00464. Epub 2024 Jun 26.