Castillo Francisco, Tavassoli Ali
School of Chemistry, University of Southampton, Southampton, UK.
Methods Mol Biol. 2019;2001:317-328. doi: 10.1007/978-1-4939-9504-2_15.
Cyclic peptide libraries have successfully been employed for the identification of inhibitors of highly challenging targets. While several methodologies exist for the generation of cyclic peptide libraries, genetically encoded libraries hold several advantages over purely in vitro methods of library generation, including the ability to conduct cell-based functional screens and straightforward hit deconvolution. Here we detail the use of split-intein circular ligation of peptides and proteins (SICLOPPS) for the identification and optimization of several first-in-class and best-in-class inhibitors. We describe the current advances in the identification of SICLOPPS-derived inhibitors, as well as the optimization of library generation through the use of new inteins. Finally, we discuss the production of more diverse libraries as a way of enhancing the hit rate against difficult protein-protein interactions.
环肽文库已成功用于鉴定极具挑战性靶点的抑制剂。虽然存在多种生成环肽文库的方法,但与纯粹的体外文库生成方法相比,基因编码文库具有多个优势,包括能够进行基于细胞的功能筛选以及直接的命中物反卷积。在此,我们详细介绍使用肽和蛋白质的分裂内含子环化连接(SICLOPPS)来鉴定和优化几种同类首创和同类最佳的抑制剂。我们描述了鉴定SICLOPPS衍生抑制剂的当前进展,以及通过使用新的内含子来优化文库生成。最后,我们讨论生成更多样化文库作为提高针对困难蛋白质-蛋白质相互作用命中率的一种方式。