Head-to-Tail Cyclization Enhances Ice-Growth Inhibition by Linear Threonine Oligomers.

IF 5.3 2区 化学 Q1 CHEMISTRY, MEDICINAL
Haipeng Wang, Xuyang Liu, Wensheng Cai, Xueguang Shao
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引用次数: 0

Abstract

Developing short antifreeze peptides with low immunogenicity is considered to be a promising strategy for improving cryopreservation. Inspired by the design principles of cyclic peptide drugs characterized by high stability and strong affinity, we propose to use the cyclization strategy as a principle for the design of antifreeze peptides, aiming to enhance their structural stability and ice-binding ability, thereby significantly improving their antifreeze activity. In this study, we choose linear threonine oligomers (L-(Thr)n), composed of common and biocompatible threonine residues, to investigate the mechanism and efficacy of cyclization. Molecular dynamics (MD) simulations are used to compare the ice-growth inhibition ability of a series of linear oligomers and their corresponding cyclic counterparts (49 molecular systems) on different ice planes, resulting in 80.8 μs MD trajectories. A detailed analysis of conformational changes during inhibition and their correlation with inhibitory efficiency reveals that conformational variability is detrimental to the binding of L-(Thr)n to ice, while β-sheet-like conformation has a significant advantage in inhibiting ice growth and is identified as a key factor for the superior performance of cyclized oligomers (C-(Thr)n) over their linear counterparts. Encouragingly, we find that C-(Thr)12 exhibits the most prominent performance, surpassing previously reported cyclic peptides of similar size due to its enhanced structural stability, superior ice binding, coverage, and antiengulfment capabilities. This study provides valuable insights into the design of small-sized ice-growth inhibitors through head-to-tail cyclization of linear oligomers. However, it should be noted that our findings are based purely on computational simulations, and experimental validation in actual cryopreservation conditions remains necessary.

线性苏氨酸低聚物的头尾环化增强了冰生长抑制作用。
开发具有低免疫原性的短抗冻肽被认为是改善冷冻保存的一种有前途的策略。受环肽类药物稳定性高、亲和性强的设计原理启发,我们提出将环化策略作为抗冻肽的设计原则,旨在增强其结构稳定性和冰结合能力,从而显著提高其抗冻活性。在本研究中,我们选择由常见的苏氨酸残基组成的线性苏氨酸低聚物(L-(Thr)n)来研究环化的机制和效果。利用分子动力学(MD)模拟比较了一系列线性低聚物及其相应的环状低聚物(49个分子体系)在不同冰平面上的抑冰能力,得到了80.8 μs的MD轨迹。对抑制过程中的构象变化及其与抑制效率的相关性的详细分析表明,构象变异性不利于L-(Thr)n与冰的结合,而β-片状构象在抑制冰生长方面具有显著优势,并且被认为是环化低聚物(C-(Thr)n)优于线性低聚物的关键因素。令人鼓舞的是,我们发现C-(Thr)12表现出最突出的性能,超越了先前报道的类似大小的环肽,因为它具有增强的结构稳定性,优越的冰结合,覆盖和抗吞噬能力。该研究通过线性低聚物的首尾环化,为设计小型冰生长抑制剂提供了有价值的见解。然而,需要指出的是,我们的研究结果纯粹是基于计算模拟,在实际低温保存条件下的实验验证仍然是必要的。
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
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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