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DFTMD 研究葡萄糖及其差向异构体:端基比、构象异构体的比例和水合能。

DFTMD studies of glucose and epimers: anomeric ratios, rotamer populations, and hydration energies.

机构信息

Plant Polymer Research, USDA, ARS, National Center for Agricultural Utilization Research, Peoria, IL 61604, USA.

出版信息

Carbohydr Res. 2010 Feb 26;345(4):503-11. doi: 10.1016/j.carres.2009.12.001. Epub 2010 Jan 4.

Abstract

Results are presented from density functional molecular dynamics (DFTMD) simulations, based on constant energy dynamics, of glucose and its cyclic form of 6-carbon epimers. Both in vacuo and an implicit solvent method (COSMO) were examined, including simulations of low-energy conformations of each molecule. Analysis of the DFTMD results includes the following: energies averaged over the simulation time, calculated anomeric ratios, hydroxyl and hydroxymethyl rotamer populations, and hydration energies. Hydrogen-bonding networks persistence times were examined, and the effects of solvation on rotamer populations were described. Anomeric ratios calculated from energy optimization of an ensemble of low-energy conformers are compared to those obtained from ensemble averages from molecular dynamics, with dynamics simulations giving populations in best agreement with experimental anomeric ratios. Ensemble results in vacuo were not in agreement with experimental anomeric ratios or hydroxymethyl populations, producing in some cases reversal of the alpha:beta ratios. The difficulty in obtaining correct alpha:beta ratios increases with the number of axial groups; the mono-axial epimers being best represented, epimers with two axial groups being more difficult, and the epimers with three axial hydroxyl groups being most difficult to analyze, the result of a large number of very strong hydrogen-bonding networks that form the ensemble of low-energy conformations in the multi-axial structures.

摘要

给出了基于恒能动力学的葡萄糖及其 6-碳差向异构体环状形式的密度泛函分子动力学(DFTMD)模拟的结果。考察了真空和隐式溶剂方法(COSMO),包括每个分子的低能构象的模拟。DFTMD 结果的分析包括:模拟时间内的平均能量、计算的端基比、羟基和羟甲基构象的比例以及水合能。考察了氢键网络持续时间,并描述了溶剂化对构象比例的影响。从低能构象的集合的能量优化中计算的端基比与从分子动力学的集合平均值中获得的端基比进行了比较,动力学模拟得到的种群与实验端基比最吻合。真空环境中的集合结果与实验端基比或羟甲基比例不一致,在某些情况下会反转α:β 比例。获得正确的α:β 比例的难度随着轴向基团数量的增加而增加;单轴向差向异构体的代表性最好,两个轴向基团的差向异构体更难分析,而具有三个轴向羟基基团的差向异构体最难分析,这是由于大量非常强的氢键网络形成了多轴向结构中低能构象的集合。

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