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基于筛选的大环肽发现用于下一代治疗药物。

Selection-based discovery of macrocyclic peptides for the next generation therapeutics.

作者信息

Morioka Tomomi, Loik Nikita D, Hipolito Christopher J, Goto Yuki, Suga Hiroaki

机构信息

Department of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan.

Department of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan; CREST, JST, Tokyo 113-0033, Japan.

出版信息

Curr Opin Chem Biol. 2015 Jun;26:34-41. doi: 10.1016/j.cbpa.2015.01.023. Epub 2015 Feb 20.

Abstract

Naturally occurring macrocyclic peptides represent a unique class of compounds that exhibit various biological activities ranging from antibiotics to immunosuppressant. Although the discovery of such macrocyclic peptides had relied on their isolation from living organisms, recent advances in ribosomal peptide synthesis and in display techniques made it possible to use artificially generated macrocyclic peptide libraries for selection of ligands for biologically relevant proteins. In this review, we discuss the technologies and their applications for the discovery of peptide ligands.

摘要

天然存在的大环肽是一类独特的化合物,具有从抗生素到免疫抑制剂等多种生物活性。尽管此类大环肽的发现依赖于从生物体中分离,但核糖体肽合成和展示技术的最新进展使得利用人工合成的大环肽文库来筛选与生物相关蛋白质的配体成为可能。在本综述中,我们讨论了用于发现肽配体的技术及其应用。

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