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首页> 外文期刊>Theoretical Chemistry Accounts >A coarse-grained model for β-d-glucose based on force matching
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A coarse-grained model for β-d-glucose based on force matching

机译:基于力匹配的β-d-葡萄糖粗粒模型

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Cellulosic ethanol production is a two-stage process that involves the hydrolysis of cellulose to form simple sugars and the fermentation of these sugars to ethanol. Hydrolysis of cellulose is the rate-limiting step, and there is a great need to characterize the process with numerical simulations to better understand the complex mechanisms involved. The ultimate goal is to generate accurate coarse-grained molecular models that are capable of predicting the structure of lignocellulose before and after pretreatment so that subsequent ab initio calculations can be performed to probe the degradation pathways. As a first step toward that goal, the force-matching method is used to derive coarse-grained models for β-d-glucose molecules in aqueous solution. Using the same reference, an all-atom molecular dynamics simulation trajectory, two sets of three- and six-site coarse-grained models of β-d-glucose are developed using two definitions of the coarse-grained center site location: center of mass (CG-CM) and geometric center (CG-GC). The performance of these coarse-grained models is evaluated by comparing the coarse-grained predictions for bond-length distributions and radial distribution functions to those obtained from the all-atom reference simulation. The six-site coarse-grained models retain more structural details than the three-site coarse-grained models. Comparison between center site definitions shows that CG-CM models generally predict local ordering better, while CG-GC models predict long-range structure better.
机译:纤维素乙醇的生产是一个两阶段过程,涉及到纤维素水解形成单糖并将这些糖发酵为乙醇的过程​​。纤维素的水解是限速步骤,非常需要通过数值模拟来表征该过程,以更好地理解所涉及的复杂机理。最终目标是生成精确的粗粒分子模型,该模型能够预测预处理前后的木质纤维素结构,以便可以进行后续的从头算计算以探究降解途径。作为实现该目标的第一步,力匹配方法用于导出水溶液中β-d-葡萄糖分子的粗粒度模型。使用相同的参考,使用粗粒中心位置的两个定义,开发了全原子分子动力学模拟轨迹,两组三位和六位β-d-葡萄糖粗粒模型。 (CG-CM)和几何中心(CG-GC)。通过将键长分布和径向分布函数的粗粒度预测与从全原子参考模拟获得的预测进行比较,可以评估这些粗粒度模型的性能。与三点粗粒度模型相比,六点粗粒度模型保留了更多的结构细节。中心站点定义之间的比较表明,CG-CM模型通常可以更好地预测局部排序,而CG-GC模型可以更好地预测远程结构。

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