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开发一种新的粗粒模型以模拟氢键作用下纤维素链的组装。

Development of a New Coarse-Grained Model to Simulate Assembly of Cellulose Chains Due to Hydrogen Bonding.

机构信息

Department of Chemical and Biomolecular Engineering, University of Delaware, 150 Academy St., Newark, Delaware 19716, United States.

Department of Materials Science and Engineering, University of Delaware, 201 DuPont Hall, Newark, Delaware 19716, United States.

出版信息

J Chem Theory Comput. 2020 Jul 14;16(7):4599-4614. doi: 10.1021/acs.jctc.0c00225. Epub 2020 Jun 2.

Abstract

In this work, we present a new coarse-grained (CG) model that captures the directional hydrogen bonding interactions that drive cellulose chains to assemble into ordered aggregates. This CG model balances the incorporation of chemical details at the monomer level needed to represent directional interactions and the coarse-graining needed to capture large length scales and time scales associated with macromolecular assembly. We validate this CG model by first comparing the cellulose single-chain structure in the CG molecular dynamics (MD) simulations with that in atomistic MD simulations. We also compare the hydrogen bonding pattern, interchain distance, and interchain orientation seen in assembled cellulose chains observed in CG MD simulations with those seen in experimental crystal structures of cellulose. Upon validation, we present the aggregation behavior of cellulose chains with "silenced" hydrogen bonding site interactions to mimic cellulose chains that are chemically modified at the donor and acceptor hydrogen bonding sites (e.g., methylcellulose). We expect this type of CG model to be useful in predicting the morphology of cellulose chains in solution under a wide range of solution conditions and chemical modifications.

摘要

在这项工作中,我们提出了一种新的粗粒化 (CG) 模型,该模型捕捉了驱动纤维素链组装成有序聚集体的定向氢键相互作用。该 CG 模型平衡了在单体水平上纳入代表定向相互作用所需的化学细节,以及在捕获与大分子组装相关的大长度尺度和时间尺度时所需的粗粒化。我们通过首先将 CG 分子动力学 (MD) 模拟中的纤维素单链结构与原子 MD 模拟中的结构进行比较,来验证该 CG 模型。我们还比较了在 CG MD 模拟中观察到的组装纤维素链中的氢键模式、链间距离和链间取向,以及在纤维素的实验晶体结构中观察到的情况。验证后,我们展示了具有“静音”氢键相互作用的纤维素链的聚集行为,以模拟在供体和受体氢键结合位点(例如甲基纤维素)进行化学修饰的纤维素链。我们预计这种 CG 模型将有助于预测在广泛的溶液条件和化学修饰下,溶液中纤维素链的形态。

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