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多尺度模拟揭示 γ-分泌酶介导线粒体解偶联剂介导的水解的催化偶联体的选择性质子化。

Selective Protonation of Catalytic Dyad for γ-Secretase-Mediated Hydrolysis Revealed by Multiscale Simulations.

机构信息

State Key Laboratory of Chemical Oncogenomics, Guangdong Provincial Key Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055, China.

Centre for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.

出版信息

J Phys Chem B. 2024 Nov 21;128(46):11345-11358. doi: 10.1021/acs.jpcb.4c04085. Epub 2024 Nov 7.

Abstract

γ-Secretase plays a crucial role in producing disease-related amyloid-β proteins by cleaving the amyloid precursor protein (APP). The enzyme employs its catalytic dyad containing two aspartates (Asp257 and Asp385) to hydrolyze the substrate by a general acid-base catalytic mechanism, necessitating monoprotonation of the two aspartates for efficient hydrolysis. However, the precise protonation states of the aspartates remain uncertain. In this study, we employed a multiscale computational approach to investigate the dependence of the catalytic efficiency of γ-secretase on the protonation states of its catalytic dyad. Over 200 ms unbiased atomistic simulations of the substrate-enzyme complex reveal diverse orientations of the scissile bond of the bound substrate and accessible structural ensembles of the catalytic dyad with Asp257-Asp385 distances fluctuating between 4 and 10 Å. With a quantum mechanics/molecular mechanics (QM/MM) approach accelerated by enhanced sampling techniques, we find that the first step of the hydrolysis reaction, i.e., the formation of a gem-diol intermediate, experiences a higher reaction barrier by ∼2 kcal/mol when Asp385 is protonated. Furthermore, we find that Arg269 of the enzyme is most likely responsible for this preference of the protonation state: its basic side chain is spatially close to that of Asp257 and specifically stabilizes the transition state electrostatically when Asp257 is protonated. Collectively, our study suggests that Asp257 is likely the favored protonation site for APP cleavage by γ-secretase.

摘要

γ-分泌酶在切割淀粉样前体蛋白 (APP) 以产生与疾病相关的淀粉样 β 蛋白方面发挥着关键作用。该酶利用其包含两个天冬氨酸(Asp257 和 Asp385)的催化双联体通过一般的酸碱催化机制水解底物,需要两个天冬氨酸的单质子化以实现有效的水解。然而,天冬氨酸的精确质子化状态仍不确定。在这项研究中,我们采用了一种多尺度计算方法来研究 γ-分泌酶的催化效率对其催化双联体质子化状态的依赖性。超过 200 毫秒的无偏原子模拟表明,结合底物的酶复合物中的底物的裂解键具有多种取向,并且催化双联体的可及结构集合具有在 4 到 10 Å 之间波动的 Asp257-Asp385 距离。通过使用增强采样技术加速的量子力学/分子力学 (QM/MM) 方法,我们发现水解反应的第一步,即形成偕二醇中间体,当 Asp385 质子化时,经历约 2 kcal/mol 的更高反应势垒。此外,我们发现酶中的 Arg269 很可能是这种质子化状态偏好的原因:其碱性侧链与 Asp257 空间上接近,并且当 Asp257 质子化时,它可以特异性地静电稳定过渡态。总的来说,我们的研究表明,Asp257 可能是 γ-分泌酶切割 APP 的首选质子化位点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d86/11586911/fc500802d32e/jp4c04085_0001.jpg

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