Stable Peptide Binding Achieved through an Intrinsically Ordered Spiral Conformation with Ten-Glycine Spacing: Insights from MD Simulation

IF 2.9 2区 化学 Q3 CHEMISTRY, PHYSICAL
Obinna E. Onyemaobi, , , Haipeng Zhao, , , Bin Tu, , , Xiaocui Fang, , , Chen Wang*, , , Yanlian Yang*, , and , Qiaojun Fang*, 
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Abstract

Previous experimental studies on position-coded multivalent peptide–peptide interactions demonstrated that introducing two tryptophan residues at varying positions within a 14-mer intrinsically disordered polyglycine (GW) peptide significantly affects its binding affinity and selectivity toward a partner homoglycine (G14) peptide. However, these studies lacked atomistic resolution and were unable to elucidate the structural mechanisms underlying the observed “volcano-like” binding trend. To address this limitation, we performed all-atom molecular dynamics (MD) simulations with enhanced sampling via replica exchange molecular dynamics (REMD) to investigate how tryptophan spacing influences binding behavior. Our results show that peptides with a 10-glycine separation between dual tryptophans (GW10) exhibit the strongest binding affinity to G14, consistent with the experimental data and validating the simulation approach. Notably, GW10 and related arginine and serine variants (GR10 and GS10) adopt stable, intrinsically ordered spiral conformations that form favorable binding pockets for G14. Energy decomposition, hydrogen bonding, and conformational analyses underscore the critical role of these ordered structures in modulating peptide–peptide interactions. These findings provide atomic-level insights into sequence-dependent binding and offer potential applications for peptide design, protein engineering, and the understanding of prelasso motifs relevant to protein folding.

Abstract Image

稳定的肽结合实现通过内在有序的螺旋构象与十甘氨酸间距:见解从MD模拟。
先前关于位置编码多价肽-肽相互作用的实验研究表明,在14-mer内在无序聚甘氨酸(GW)肽的不同位置引入两个色氨酸残基会显著影响其对伙伴同甘氨酸(G14)肽的结合亲和力和选择性。然而,这些研究缺乏原子分辨率,无法阐明观察到的“火山样”结合趋势的结构机制。为了解决这一限制,我们通过副本交换分子动力学(REMD)进行了全原子分子动力学(MD)模拟,并通过增强采样来研究色氨酸间距如何影响结合行为。我们的研究结果表明,双色氨酸之间10-甘氨酸分离的肽(GW10)与G14的结合亲和力最强,与实验数据一致,并验证了模拟方法。值得注意的是,GW10和相关的精氨酸和丝氨酸变体(GR10和GS10)采用稳定的、内在有序的螺旋构象,形成有利于G14的结合袋。能量分解、氢键和构象分析强调了这些有序结构在调节肽-肽相互作用中的关键作用。这些发现为序列依赖性结合提供了原子水平的见解,并为肽设计、蛋白质工程和理解与蛋白质折叠相关的前套索基序提供了潜在的应用。
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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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