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

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
The Journal of Physical Chemistry B Pub Date : 2024-11-21 Epub Date: 2024-11-07 DOI:10.1021/acs.jpcb.4c04085
Bohua Wu, Shu Li, Wei Han
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引用次数: 0

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.

多尺度模拟揭示γ-秘诀酶介导水解催化二元的选择性质子化作用
γ-分泌酶通过裂解淀粉样前体蛋白(APP),在产生与疾病相关的淀粉样-β蛋白的过程中发挥着至关重要的作用。该酶利用含有两个天冬氨酸(Asp257 和 Asp385)的催化二联体,通过一般的酸碱催化机制水解底物。然而,天冬氨酸的精确质子化状态仍不确定。在本研究中,我们采用了一种多尺度计算方法来研究γ-分泌酶的催化效率与其催化二元的质子化状态的关系。对底物-酶复合物进行了超过 200 毫秒的无偏原子模拟,发现了结合底物的scissile键的不同取向,以及Asp257-Asp385间距在4到10埃之间波动的催化二元结构组合、当质子化 Asp385 时,水解反应的第一步,即生成 gem-diol 中间体的反应势垒会升高 ∼ 2 kcal/mol。此外,我们还发现,酶的 Arg269 极有可能是造成这种质子化状态偏好的原因:它的碱性侧链在空间上靠近 Asp257 的碱性侧链,当 Asp257 质子化时,它能特异性地稳定过渡态的静电。总之,我们的研究表明,Asp257很可能是γ-分泌酶裂解APP的首选质子化位点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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