In Silico Structural Comparison of Aromatic and Aliphatic Chiral Peptoid Oligomers

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL
Rakshit Kumar Jain, Carol K. Hall and Erik E. Santiso*, 
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Abstract

Atomistic simulations of peptoids have the capability to predict structure–property relationships, depending on the accuracy of the associated force field. This work presents an addendum to the CGenFF-NTOID peptoid force field for aliphatic side chains. We develop parameters for two aliphatic side chains, RN1-tertiary butylethyl glycine (r1tbe) and SN1-tertiary butylethyl glycine (s1tbe). Enhanced sampled (well-tempered metadynamics) atomistic simulations are performed using CGenFF-NTOID to determine the monomer structural preferences for these side chains. The free energy minima attained through these simulations are compared with structural observations obtained from experiments. We also compare the structural preferences of aliphatic s1tbe and aromatic SN1-naphthylethyl glycine (s1ne). This is done through parallel bias metadynamics on monomers and pentamers of s1tbe and s1ne. The structural observations through simulations are also compared with available experimental metrics of the dihedral angles and pitch. The pentamer minima structures are also compared with ab initio optimized structures, which show excellent agreement. This comparison illustrates alternatives to aromatic side chains that can be used to stabilize peptoid secondary structures. The developed parameters help to increase the diversity of peptoid side chains available for materials discovery through computational studies.

Abstract Image

芳香族和脂肪族手性蛋白胨低聚物的硅学结构比较
根据相关力场的准确性,原子模拟可以预测蛋白胨的结构-性质关系。本研究提出了脂肪族侧链 CGenFF-NTOID 蛋白胨力场的增补。我们为 RN1-叔丁基甘氨酸(r1tbe)和 SN1-叔丁基甘氨酸(s1tbe)这两种脂肪族侧链开发了参数。使用 CGenFF-NTOID 进行了增强采样(匀变元动力学)原子模拟,以确定这些侧链的单体结构偏好。我们将这些模拟得出的自由能最小值与实验获得的结构观察结果进行了比较。我们还比较了脂肪族 s1tbe 和芳香族 SN1-萘乙基甘氨酸(s1ne)的结构偏好。这是通过对 s1tbe 和 s1ne 的单体和五聚体进行平行偏置元动力学模拟实现的。通过模拟观察到的结构还与现有的二面角和螺距实验指标进行了比较。五聚物最小结构也与 ab initio 优化结构进行了比较,结果显示两者非常吻合。这种比较说明,除了芳香族侧链之外,还有其他方法可以用来稳定蛋白胨二级结构。所开发的参数有助于通过计算研究增加类蛋白胨侧链的多样性,促进材料的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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