表征潜在的神经元乙酰胆碱酯酶对手性吡虫磷的反应性:来自光谱学、计算机模拟对接、分子动力学模拟和每个残基能量分解研究的对映选择性见解。

Characterizing the potentially neuronal acetylcholinesterase reactivity toward chiral pyraclofos: Enantioselective insights from spectroscopy, in silico docking, molecular dynamics simulation and per-residue energy decomposition studies.

作者信息

Peng Wei, Wang Tao, Liang Xiang-Rong, Yang Yu-Sen, Wang Qi-Zhao, Cheng Hong-Fei, Peng Yu-Kui, Ding Fei

机构信息

School of Water and Environment, Chang'an University, Xi'an, 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710054, China; State Key Laboratory of Physical Chemistry of Solid Surfaces and Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, China.

School of Water and Environment, Chang'an University, Xi'an, 710054, China; Key Laboratory of Subsurface Hydrology and Ecological Effect in Arid Region of Ministry of Education, Chang'an University, Xi'an, 710054, China.

出版信息

J Mol Graph Model. 2022 Jan;110:108069. doi: 10.1016/j.jmgm.2021.108069. Epub 2021 Nov 1.

Abstract

Chiral organophosphorus agents are distributed ubiquitously in the environment, but the neuroactivity of these asymmetric chemicals to humans remains uncertain. This scenario was to explore the stereoselective neurobiological response of human acetylcholinesterase (AChE) to chiral pyraclofos at the enantiomeric scale, and then decipher the microscopic basis of enantioselective neurotoxicity of pyraclofos enantiomers. The results indicated that (R)-/(S)-pyraclofos can form the bioconjugates with AChE with a stoichiometric ratio of 1:1, but the neuronal affinity of (R)-pyraclofos (K = 6.31 × 10 M) with AChE was larger than that of (S)-pyraclofos (K = 1.86 × 10 M), and significant enantioselectivity was existed in the biochemical reaction. The modes of neurobiological action revealed that pyraclofos enantiomers were situated at the substrate binding domain, and the strength of the overall noncovalent bonds between (S)-pyraclofos and the residues was weaker than that of (R)-pyraclofos, resulting in the high inhibitory effect of (R)-pyraclofos toward the activity of AChE. Dynamic enantioselective biointeractions illustrated that the intervention of inherent conformational flexibility in the AChE-(R)-pyraclofos was greater than that of the AChE-(S)-pyraclofos, which arises from the big spatial displacement and the conformational flip of the binding domain composed of the residues Thr-64~Asn-89, Gly-122~Asp-134, and Thr-436~Tyr-449. Energy decomposition exhibited that the Gibbs free energies of the AChE-(R)-/(S)-pyraclofos were ΔG° = -37.4/-30.2 kJ mol, respectively, and the disparity comes from the electrostatic energy during the stereoselective neurochemical reactions. Quantitative conformational analysis further confirmed the atomic-scale computational chemistry conclusions, and the perturbation of (S)-pyraclofos on the AChE's ordered conformation was lower than that of (R)-pyraclofos, which is germane to the interaction energies of the crucial residues, e.g. Tyr-124, Tyr-337, Asp-74, Trp-86, and Tyr-119. Evidently, this attempt will contribute mechanistic information to uncovering the neurobiological effects of chiral organophosphates on the body.

摘要

手性有机磷化合物在环境中广泛分布,但其对人类的神经活性仍不确定。本研究旨在探索人乙酰胆碱酯酶(AChE)对手性丙溴磷在对映体水平上的立体选择性神经生物学反应,进而解析丙溴磷对映体的对映选择性神经毒性的微观基础。结果表明,(R)-/(S)-丙溴磷能与AChE以1:1的化学计量比形成生物共轭物,但(R)-丙溴磷(K = 6.31×10 M)与AChE的神经元亲和力大于(S)-丙溴磷(K = 1.86×10 M),且在生化反应中存在显著的对映选择性。神经生物学作用模式表明,丙溴磷对映体位于底物结合域,(S)-丙溴磷与残基之间的整体非共价键强度弱于(R)-丙溴磷,导致(R)-丙溴磷对AChE活性的抑制作用较强。动态对映选择性生物相互作用表明,AChE-(R)-丙溴磷中固有构象灵活性的干预大于AChE-(S)-丙溴磷,这源于由Thr-64~Asn-89、Gly-122~Asp-134和Thr-436~Tyr-449残基组成的结合域的大空间位移和构象翻转。能量分解表明,AChE-(R)-/(S)-丙溴磷的吉布斯自由能分别为ΔG° = -37.4/-30.2 kJ mol,差异源于立体选择性神经化学反应中的静电能。定量构象分析进一步证实了原子尺度计算化学的结论,(S)-丙溴磷对AChE有序构象的扰动低于(R)-丙溴磷,这与关键残基(如Tyr-124、Tyr-337、Asp-74、Trp-86和Tyr-119)的相互作用能相关。显然,这一尝试将为揭示手性有机磷对机体的神经生物学效应提供机制信息。

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