化学
拟肽
肽
环肽
生物化学
药物发现
化学空间
肽库
组合化学
计算生物学
小分子
立体化学
血浆蛋白结合
氨基酸
结合位点
肽序列
化学生物学
蛋白质-蛋白质相互作用
固相合成
合理设计
结合选择性
受体
结构-活动关系
肽键
折叠(DSP实现)
作者
Maxwell Sigal,Markus Egner,Chikako Okada,Daniel Merk,Toru Sengoku,Takayuki Katoh,Hiroaki Suga
摘要
α,α-Disubstituted α-amino acids (dαAAs) are important building blocks for peptidomimetics as they are strong inducers of helicity and protect against proteolytic degradation. However, de novo discovery of dαAA-containing peptides with genetically encoded libraries is limited due to their poor incorporation efficiency. Here, we report the optimized ribosomal incorporation of multiple achiral dαAAs into peptide libraries and their application to high-throughput (>1012 members) affinity selection against the nuclear receptor peroxisome proliferator-activated receptor-gamma (PPARγ). This dαAA-based screening methodology discovered potent linear and macrocyclic α-helical peptides with low-to-sub nanomolar binding affinities. Hit peptides were proteolytically stable in serum and cell permeable, allowing for in cellulo antagonism of PPARγ. X-ray crystallography revealed that dαAA-containing peptides bound at the α-helical protein–protein interaction (PPI) interface via an α-helical conformation. This work validates the potential of a dαAA-based, α-helical discovery platform, providing access to new chemical and conformational space to de novo identify novel α-helical peptidomimetics.
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