化学
体外
肽
蛋白质-蛋白质相互作用
选择(遗传算法)
生物化学
计算机科学
人工智能
作者
Takashi Miura,KangJu Lee,Takayuki Katoh,Hiroaki Suga
摘要
Nonproteinogenic amino acids, including d-α-, β-, and γ-amino acids, present in bioactive peptides play pivotal roles in their biochemical activities and proteolytic stabilities. d-α-Amino acids (dαAA) are widely used building blocks that can enhance the proteolytic stability. Cyclic β2,3-amino acids (cβAA), for instance, can fold peptides into rigid secondary structures, improving the binding affinity and proteolytic stability. Cyclic γ2,4-amino acids (cγAA) are recently highlighted as rigid residues capable of preventing the proteolysis of flanking residues. Simultaneous incorporation of all dαAA, cβAA, and cγAA into a peptide is expected to yield l-α/d-α/β/γ-hybrid peptides with improved stability and potency. Despite challenges in the ribosomal incorporation of multiple nonproteinogenic amino acids, our engineered tRNAPro1E2 successfully reaches such a difficulty. Here, we report the ribosomal synthesis of macrocyclic l-α/d-α/β/γ-hybrid peptide libraries and their application to in vitro selection against interferon gamma receptor 1 (IFNGR1). One of the resulting l-α/d-α/β/γ-hybrid peptides, IB1, exhibited remarkable inhibitory activity against the IFN-γ/IFNGR1 protein–protein interaction (PPI) (IC50 = 12 nM), primarily attributed to the presence of a cβAA in the sequence. Additionally, cγAAs and dαAAs in the resulting peptides contributed to their serum stability. Furthermore, our peptides effectively inhibit IFN-γ/IFNGR1 PPI at the cellular level (best IC50 = 0.75 μM). Altogether, our platform expands the chemical space available for exploring peptides with high activity and stability, thereby enhancing their potential for drug discovery.
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