Juraszek Jarek, Kadam Rameshwar U, Branduardi Davide, van Ameijde Jeroen, Garg Divita, Dailly Nicolas, Jongeneelen Mandy, Vermond Jan, Brakenhoff Just P J, Brandenburg Boerries, van Dongen Maria J P, Vogels Ronald, Friesen Robert H E, Wilson Ian A
Johnson and Johnson Innovative Medicine, Leiden 2333 CN, The Netherlands.
Department of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037.
Proc Natl Acad Sci U S A. 2025 Jul;122(26):e2426554122. doi: 10.1073/pnas.2426554122. Epub 2025 Jun 27.
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.
D-肽作为治疗药物具有巨大潜力,可缓解L-肽在代谢稳定性和免疫原性方面的挑战。然而,目前的D-肽发现方法受到其蛋白质靶点特定大小、结构和化学合成性的严重限制。在此,我们描述了一种使用Rosetta以热点为中心的方法从头设计与目标蛋白上感兴趣的表位结合的D-肽的计算方法。该方法包括在功能性蛋白质-蛋白质相互作用中识别热点侧链,并将这些侧链嫁接到具有相反手性的小得多的结构化肽支架上。该方法使D-肽的设计更加简便,通过设计甲型流感病毒血凝素的D-肽结合剂证明了其适用性,从而鉴定出多个D-肽先导系列。其中一个先导化合物在2.38 Å分辨率下的X射线结构验证了该方法的有效性。该方法通常应适用于具有详细结构信息的靶点,与分子大小无关,并加速基于肽的稳定治疗药物的开发。