VIPER: Virus Inhibition Via Peptide Engineering and Receptor Mimicry.

IF 1.4 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS
Anna Sophie Klingenberg, Dario Ghersi
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引用次数: 0

Abstract

A key step in most viral infections is the binding of a viral protein to a host receptor, leading to the virus entering the host cell. Disrupting this protein-protein interaction is an effective strategy for preventing infection and subsequent disease. Building on recent advances in computational tools for structural biology, we introduce Virus Inhibition via Peptide Engineering and Receptor Mimicry (VIPER), a novel approach for the automatic derivation and optimization of biomimetic decoy peptides that mimic binding sites of human proteins. VIPER leverages structural data from human-pathogen protein complexes, yielding peptides that can competitively inhibit viral entry by mimicking the natural receptor. We computationally validated VIPER using molecular dynamics simulations and showcased its applicability on three clinically relevant viruses, highlighting its potential to accelerate therapeutic development. With a focus on reproducibility and extensibility, VIPER can facilitate the rapid development of antiviral inhibitors by automating the design and optimization of biomimetic compounds.

VIPER:通过肽工程和受体模仿抑制病毒。
大多数病毒感染的关键步骤是病毒蛋白与宿主受体结合,导致病毒进入宿主细胞。破坏这种蛋白质-蛋白质相互作用是预防感染和随后疾病的有效策略。基于结构生物学计算工具的最新进展,我们通过肽工程和受体模仿(VIPER)引入病毒抑制,这是一种自动衍生和优化模拟人类蛋白质结合位点的仿生诱饵肽的新方法。VIPER利用人类病原体蛋白复合物的结构数据,产生可以通过模仿天然受体竞争性地抑制病毒进入的肽。我们使用分子动力学模拟对VIPER进行了计算验证,并展示了其在三种临床相关病毒上的适用性,强调了其加速治疗开发的潜力。VIPER专注于可重复性和可扩展性,可以通过自动化设计和优化仿生化合物来促进抗病毒抑制剂的快速开发。
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
Journal of Computational Biology
Journal of Computational Biology 生物-计算机:跨学科应用
CiteScore
3.60
自引率
5.90%
发文量
113
审稿时长
6-12 weeks
期刊介绍: Journal of Computational Biology is the leading peer-reviewed journal in computational biology and bioinformatics, publishing in-depth statistical, mathematical, and computational analysis of methods, as well as their practical impact. Available only online, this is an essential journal for scientists and students who want to keep abreast of developments in bioinformatics. Journal of Computational Biology coverage includes: -Genomics -Mathematical modeling and simulation -Distributed and parallel biological computing -Designing biological databases -Pattern matching and pattern detection -Linking disparate databases and data -New tools for computational biology -Relational and object-oriented database technology for bioinformatics -Biological expert system design and use -Reasoning by analogy, hypothesis formation, and testing by machine -Management of biological databases
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