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治疗性肽中的结构信息:在生物医学中的新兴应用。

Structural information in therapeutic peptides: Emerging applications in biomedicine.

作者信息

Iglesias Valentín, Bárcenas Oriol, Pintado-Grima Carlos, Burdukiewicz Michał, Ventura Salvador

机构信息

Institut de Biotecnologia i de Biomedicina and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Barcelona, Spain.

Clinical Research Centre, Medical University of Białystok, Białystok, Poland.

出版信息

FEBS Open Bio. 2025 Feb;15(2):254-268. doi: 10.1002/2211-5463.13847. Epub 2024 Jun 14.

DOI:10.1002/2211-5463.13847
PMID:38877295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11788753/
Abstract

Peptides are attracting a growing interest as therapeutic agents. This trend stems from their cost-effectiveness and reduced immunogenicity, compared to antibodies or recombinant proteins, but also from their ability to dock and interfere with large protein-protein interaction surfaces, and their higher specificity and better biocompatibility relative to organic molecules. Many tools have been developed to understand, predict, and engineer peptide function. However, most state-of-the-art approaches treat peptides only as linear entities and disregard their structural arrangement. Yet, structural details are critical for peptide properties such as solubility, stability, or binding affinities. Recent advances in peptide structure prediction have successfully addressed the scarcity of confidently determined peptide structures. This review will explore different therapeutic and biotechnological applications of peptides and their assemblies, emphasizing the importance of integrating structural information to advance these endeavors effectively.

摘要

作为治疗剂,肽正吸引着越来越多的关注。这一趋势源于与抗体或重组蛋白相比,它们具有成本效益且免疫原性较低,还源于它们能够对接并干扰大的蛋白质-蛋白质相互作用表面,以及相对于有机分子而言具有更高的特异性和更好的生物相容性。已经开发了许多工具来理解、预测和设计肽的功能。然而,大多数最先进的方法仅将肽视为线性实体,而忽略了它们的结构排列。然而,结构细节对于肽的性质(如溶解度、稳定性或结合亲和力)至关重要。肽结构预测的最新进展已成功解决了可靠确定的肽结构稀缺的问题。本综述将探讨肽及其组装体在不同治疗和生物技术方面的应用,强调整合结构信息以有效推进这些研究的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e18/11788753/27c3ba0e4cb5/FEB4-15-254-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e18/11788753/5f2f1f05a792/FEB4-15-254-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e18/11788753/27c3ba0e4cb5/FEB4-15-254-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e18/11788753/5f2f1f05a792/FEB4-15-254-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e18/11788753/27c3ba0e4cb5/FEB4-15-254-g003.jpg

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本文引用的文献

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CyclicPepedia: a knowledge base of natural and synthetic cyclic peptides.循环肽百科全书:天然和合成环肽知识库。
Brief Bioinform. 2024 Mar 27;25(3). doi: 10.1093/bib/bbae190.
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The limits of prediction: Why intrinsically disordered regions challenge our understanding of antimicrobial peptides.预测的局限性:为何内在无序区域对抗菌肽的理解构成挑战。
Protein Sci. 2025 Jan;34(1):e70020. doi: 10.1002/pro.70020.
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Cyclic peptides discriminate BCL-2 and its clinical mutants from BCL-X by engaging a single-residue discrepancy.环状肽通过与单个残基差异结合来区分 BCL-2 和其临床突变体与 BCL-X。
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Effect of the aggregated protein dye YAT2150 on parasite viability.聚集蛋白染料 YAT2150 对寄生虫活力的影响。
Antimicrob Agents Chemother. 2024 Mar 6;68(3):e0112723. doi: 10.1128/aac.01127-23. Epub 2024 Feb 13.
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Deep2Pep: A deep learning method in multi-label classification of bioactive peptide.Deep2Pep:一种用于生物活性肽多标签分类的深度学习方法。
Comput Biol Chem. 2024 Apr;109:108021. doi: 10.1016/j.compbiolchem.2024.108021. Epub 2024 Jan 22.
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