Owens Andrew E, Iannuzzelli Jacob A, Gu Yu, Fasan Rudi
Department of Chemistry, University of Rochester, Rochester, New York 14627, United States.
ACS Cent Sci. 2020 Mar 25;6(3):368-381. doi: 10.1021/acscentsci.9b00927. Epub 2020 Feb 4.
Macrocyclic peptides represent attractive scaffolds for targeting protein-protein interactions, making methods for the diversification and functional selection of these molecules highly valuable for molecular discovery purposes. Here, we report the development of a novel strategy for the generation and high-throughput screening of combinatorial libraries of macrocyclic peptides constrained by a nonreducible thioether bridge. In this system, spontaneous, posttranslational peptide cyclization by means of a cysteine-reactive noncanonical amino acid was integrated with M13 bacteriophage display, enabling the creation of genetically encoded macrocyclic peptide libraries displayed on phage particles. This platform, named MOrPH-PhD, was successfully applied to produce and screen 10- to 10-member libraries of peptide macrocycles against three different protein targets, resulting in the discovery of a high-affinity binder for streptavidin ( : 20 nM) and potent inhibitors of the therapeutically relevant proteins Kelch-like ECH-associated protein 1 ( : 40 nM) and Sonic Hedgehog ( : 550 nM). This work introduces and validates an efficient and general platform for the discovery and evolution of functional, conformationally constrained macrocyclic peptides useful for targeting proteins and protein-mediated interactions.
大环肽是用于靶向蛋白质-蛋白质相互作用的有吸引力的支架,因此这些分子的多样化和功能选择方法对于分子发现目的具有很高的价值。在此,我们报告了一种新策略的开发,用于生成和高通量筛选受不可还原硫醚桥约束的大环肽组合文库。在该系统中,通过半胱氨酸反应性非天然氨基酸进行的自发翻译后肽环化与M13噬菌体展示相结合,能够创建展示在噬菌体颗粒上的基因编码大环肽文库。这个名为MOrPH-PhD的平台已成功应用于针对三种不同蛋白质靶标生产和筛选10⁷至10⁸成员的肽大环文库,从而发现了一种针对链霉亲和素的高亲和力结合剂(解离常数:20 nM)以及治疗相关蛋白类kelch样ECH相关蛋白1(解离常数:40 nM)和音猬因子(解离常数:550 nM)的有效抑制剂。这项工作引入并验证了一个高效且通用的平台,用于发现和进化可用于靶向蛋白质及蛋白质介导相互作用的功能性、构象受限大环肽。