Suppr超能文献

一种基于半经验量子力学 PM6-DH2 方法的可靠对接/评分方案,准确涵盖色散和氢键:具有 22 个配体的 HIV-1 蛋白酶。

A reliable docking/scoring scheme based on the semiempirical quantum mechanical PM6-DH2 method accurately covering dispersion and H-bonding: HIV-1 protease with 22 ligands.

机构信息

Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic and Center for Biomolecules and Complex Molecular Systems, 166 10 Prague 6, Czech Republic.

出版信息

J Phys Chem B. 2010 Oct 7;114(39):12666-78. doi: 10.1021/jp1032965.

Abstract

In this study, we introduce a fast and reliable rescoring scheme for docked complexes based on a semiempirical quantum mechanical PM6-DH2 method. The method utilizes a PM6-based Hamiltonian with corrections for dispersion energy and hydrogen bonds. The total score is constructed as the sum of the PM6-DH2 interaction enthalpy, the empirical force field (AMBER) interaction entropy, and the sum of the deformation (PM6-DH2, SMD) and the desolvation (SMD) energies of the ligand. The main advantage of the procedure is the fact that we do not add any empirical parameter for either an individual component of the total score or an individual protein-ligand complex. This rescoring method is applied to a very challenging system, namely, the HIV-1 protease with a set of ligands. As opposed to the conventional DOCK procedure, the PM6-DH2 rescoring based on all of the terms distinguishes between binders and nonbinders and provides a reliable correlation of the theoretical and experimental binding free energies. Such a dramatic improvement, resulting from the PM6-DH2 rescoring of all the complexes, provides a valuable yet inexpensive tool for rational drug discovery and de novo ligand design.

摘要

在这项研究中,我们引入了一种基于半经验量子力学 PM6-DH2 方法的快速可靠的对接复合物重评分方案。该方法利用基于 PM6 的哈密顿量,并对色散能和氢键进行修正。总得分由 PM6-DH2 相互作用焓、经验力场(AMBER)相互作用熵以及配体的变形(PM6-DH2、SMD)和去溶剂化(SMD)能量之和构成。该程序的主要优点是,我们没有为总得分的单个分量或单个蛋白质-配体复合物添加任何经验参数。这种重评分方法应用于一个极具挑战性的系统,即一组配体的 HIV-1 蛋白酶。与传统的 DOCK 程序不同,基于所有项的 PM6-DH2 重评分可以区分结合物和非结合物,并提供理论和实验结合自由能的可靠相关性。这种由所有复合物的 PM6-DH2 重评分带来的显著改进为合理药物发现和从头设计提供了有价值但廉价的工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验