血凝素(流感)
病毒学
免疫原性
计算生物学
病毒
肽
甲型流感病毒
化学
蛋白质设计
表位
拟肽
生物
蛋白质结构
组合化学
免疫系统
抗体
基因
遗传学
生物化学
作者
Jarek Juraszek,Rameshwar U. Kadam,Davide Branduardi,Jeroen van Ameijde,Divita Garg,Nicolas Dailly,Mandy Jongeneelen,Jan Vermond,Just P. J. Brakenhoff,Boerries Brandenburg,Maria J. P. van Dongen,Ronald Vogels,Robert H. Friesen,Ian A. Wilson
标识
DOI:10.1073/pnas.2426554122
摘要
D-peptides hold great promise as therapeutics by alleviating the challenges of metabolic stability and immunogenicity in L-peptides. However, current D-peptide discovery methods are severely limited by specific size, structure, and the chemical synthesizability of their protein targets. Here, we describe a computational method for de novo design of D-peptides that bind to an epitope of interest on the target protein using Rosetta’s hotspot-centric approach. The approach comprises identifying hotspot sidechains in a functional protein–protein interaction and grafting these side chains onto much smaller structured peptide scaffolds of opposite chirality. The approach enables more facile design of D-peptides and its applicability is demonstrated by design of D-peptidic binders of influenza A virus hemagglutinin, resulting in identification of multiple D-peptide lead series. The X-ray structure of one of the leads at 2.38 Å resolution verifies the validity of the approach. This method should be generally applicable to targets with detailed structural information, independent of molecular size, and accelerate development of stable, peptide-based therapeutics.
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