生物信息学
药物发现
环肽
计算生物学
肽
化学
组合化学
生物化学
生物
基因
作者
George J. Saunders,Andrei K. Yudin
出处
期刊:Chemical Science
[Royal Society of Chemistry]
日期:2022-01-01
卷期号:13 (44): 12942-12944
被引量:1
摘要
In the past, cyclic peptide drugs were commonly discovered by isolation of natural products. However, recent efforts predominantly use high-throughput synthetic or genetically encoded libraries to find potent and selective hits against a range of challenging therapeutic targets. Kawamura et al. (Chem. Sci., 2022, 13, 3256-3262, https://doi.org/10.1039/D1SC06844J) developed a new workflow that can be applied to mRNA display, using high-throughput clustering, SAR investigations and in silico structural studies. This led to the discovery of nanomolar, serum-stable cyclic peptides against the human glucose-dependent insulinotropic peptide receptor (hGIP-R).
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