肽
噬菌体展示
酵母
肽库
环肽
平移(音频)
定向进化
单元格排序
组合化学
酿酒酵母
化学
生物化学
亲和力成熟
突变体
计算生物学
肽序列
生物
细胞
基因
古生物学
缩放
镜头(地质)
作者
Kaitlyn Bacon,Stefano Menegatti,Balaji M. Rao
出处
期刊:Methods in molecular biology
日期:2022-01-01
卷期号:: 387-415
标识
DOI:10.1007/978-1-0716-2285-8_20
摘要
Cyclic peptides with engineered protein-binding activity have great potential as therapeutic and diagnostic reagents owing to their favorable properties, including high affinity and selectivity. Cyclic peptide binders have generally been isolated from phage display combinatorial libraries utilizing panning based selections. As an alternative, we have developed a yeast surface display platform to identify and characterize cyclic peptide binders from genetically encoded combinatorial libraries. Through a combination of magnetic selection and fluorescence-activated cell sorting (FACS), high-affinity cyclic peptide binders can be efficiently isolated from yeast display libraries. In this platform, linear peptide precursors are expressed as yeast surface fusions. To achieve cyclization of the linear precursors, the cells are incubated with disuccinimidyl glutarate, which crosslinks amine groups within the displayed linear peptide sequence. Here, we detail protocols for cyclizing linear peptides expressed as yeast surface fusions. We also discuss how to synthesize a yeast display library of linear peptide precursors. Subsequently, we provide suggestions on how to utilize magnetic selections and FACS to isolate cyclic peptide binders for target proteins of interest from a peptide combinatorial library. Lastly, we detail how yeast surface displayed cyclic peptides can be used to obtain efficient estimates of binding affinity, eliminating the need for chemically synthesized peptides when performing mutant characterization.
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