化学糖基化反应的半经验元动力学模拟。

IF 3.1 2区 化学 Q3 CHEMISTRY, PHYSICAL
Bas Kreupeling, Daan Hoogers, Simon Chen, Pien A Meulenhoff, Wouter A Remmerswaal, Jeroen D C Codée, Francesco Buda
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引用次数: 0

摘要

糖基化,即糖苷键的形成,由于其复杂的区域和立体化学控制,是复杂碳水化合物化学合成的一个核心但具有挑战性的步骤。本研究探索了明确溶剂化的半经验分子动力学(MD)模拟,结合多种walker well-tempered metaddynamics,研究了糖基化的机制,涉及受限的葡萄糖供体和一系列亲核性不同的简单醇亲核试剂:乙醇、2-单氟乙醇、2,2-二氟乙醇和2,2,2-三氟乙醇。我们的模拟揭示了几种依赖于亲核试剂和取代位点的机制途径。较强的亲核试剂有利于SN2协同位移,而较弱的亲核试剂越来越多地促进解离sn1样机制和正面攻击途径。本研究展示了半经验MD模拟,结合显式溶剂化,可以为理解糖基化反应途径提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Semi-empirical metadynamics simulations for chemical glycosylation reactions.

Glycosylation, the formation of glycosidic bonds, is a central yet challenging step in the chemical synthesis of complex carbohydrates due to its intricate regio- and stereochemical control. This study explores explicitly solvated, semi-empirical molecular dynamics (MD) simulations combined with multiple walker well-tempered metadynamics to investigate the mechanistic landscape of glycosylation involving a constrained glucose donor and a series of simple alcohol nucleophiles varying in nucleophilicity: ethanol, 2-monofluoroethanol, 2,2-difluoroethanol, and 2,2,2-trifluoroethanol. Our simulations reveal several mechanistic pathways depending on the nucleophile and substitution site. Stronger nucleophiles favor concerted SN2 displacement, while weaker nucleophiles increasingly promote dissociative SN1-like mechanisms and frontside attack pathways. This study demonstrates how semi-empirical MD simulations, combined with explicit solvation, can provide insights to understand the glycosylation reaction pathways.

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来源期刊
Journal of Chemical Physics
Journal of Chemical Physics 物理-物理:原子、分子和化学物理
CiteScore
7.40
自引率
15.90%
发文量
1615
审稿时长
2 months
期刊介绍: The Journal of Chemical Physics publishes quantitative and rigorous science of long-lasting value in methods and applications of chemical physics. The Journal also publishes brief Communications of significant new findings, Perspectives on the latest advances in the field, and Special Topic issues. The Journal focuses on innovative research in experimental and theoretical areas of chemical physics, including spectroscopy, dynamics, kinetics, statistical mechanics, and quantum mechanics. In addition, topical areas such as polymers, soft matter, materials, surfaces/interfaces, and systems of biological relevance are of increasing importance. Topical coverage includes: Theoretical Methods and Algorithms Advanced Experimental Techniques Atoms, Molecules, and Clusters Liquids, Glasses, and Crystals Surfaces, Interfaces, and Materials Polymers and Soft Matter Biological Molecules and Networks.
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