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基于量子力学的评分方法合理化了乙烯砜抑制剂对寄生曼氏血吸虫半胱氨酸蛋白酶不可逆失活的作用。

Quantum mechanics-based scoring rationalizes the irreversible inactivation of parasitic Schistosoma mansoni cysteine peptidase by vinyl sulfone inhibitors.

机构信息

Institute of Organic Chemistry and Biochemistry, v.v.i., and Gilead Sciences and IOCB Research Center, Academy of Sciences of the Czech Republic , Flemingovo nám. 2, 166 10 Prague 6, Czech Republic.

出版信息

J Phys Chem B. 2013 Dec 5;117(48):14973-82. doi: 10.1021/jp409604n. Epub 2013 Nov 21.

Abstract

The quantum mechanics (QM)-based scoring function that we previously developed for the description of noncovalent binding in protein-ligand complexes has been modified and extended to treat covalent binding of inhibitory ligands. The enhancements are (i) the description of the covalent bond breakage and formation using hybrid QM/semiempirical QM (QM/SQM) restrained optimizations and (ii) the addition of the new ΔG(cov)' term to the noncovalent score, describing the "free" energy difference between the covalent and noncovalent complexes. This enhanced QM-based scoring function is applied to a series of 20 vinyl sulfone-based inhibitory compounds inactivating the cysteine peptidase cathepsin B1 of the Schistosoma mansoni parasite (SmCB1). The available X-ray structure of the SmCB1 in complex with a potent vinyl sulfone inhibitor K11017 is used as a template to build the other covalently bound complexes and to model the derived noncovalent complexes. We present the correlation of the covalent score and its constituents with the experimental binding data. Four outliers are identified. They contain bulky R1' substituents structurally divergent from the template, which might induce larger protein rearrangements than could be accurately modeled. In summary, we propose a new computational approach and an optimal protocol for the rapid evaluation and prospective design of covalent inhibitors with a conserved binding mode.

摘要

我们先前开发的基于量子力学(QM)的评分函数可用于描述蛋白质-配体复合物中的非共价结合,现已对其进行了修改和扩展,以处理抑制性配体的共价结合。增强功能包括:(i)使用混合 QM/半经验 QM(QM/SQM)约束优化来描述共价键的断裂和形成;(ii)在非共价得分中添加新的 ΔG(cov)'项,描述共价和非共价复合物之间的“自由”能差异。该增强型基于 QM 的评分函数应用于一系列 20 种基于乙烯砜的抑制化合物,这些化合物可使寄生的曼氏血吸虫(Schistosoma mansoni)半胱氨酸蛋白酶 B1(SmCB1)失活。使用 SmCB1 与强效乙烯砜抑制剂 K11017 形成的复合物的现有 X 射线结构作为模板,构建其他共价结合的复合物,并对衍生的非共价复合物进行建模。我们展示了共价评分及其组成部分与实验结合数据的相关性。确定了四个异常值。它们包含与模板结构上不同的庞大 R1'取代基,这可能会引起比准确建模更大的蛋白质重排。总之,我们提出了一种新的计算方法和最佳方案,用于快速评估和前瞻性设计具有保守结合模式的共价抑制剂。

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