互补性(分子生物学)
材料科学
计算机科学
生物
遗传学
作者
Kateryna Maksymenko,Valeriia Hatskovska,M.P. Coles,Narges Aghaallaei,Natalia Pashkovskaia,Natalia Borbarán‐Bravo,Matteo Pilz,Philip Bucher,Mareike Volz,Joana Pereira,M.D. Hartmann,Ghazaleh Tabatabai,Judith Feucht,Stefan Liebau,Patrick Müller,Andrei N. Lupas,Julia Skokowa,Mohammad ElGamacy
标识
DOI:10.1002/advs.202502015
摘要
De novo design of binders capable of targeting arbitrarily selected epitopes remains a substantial challenge. Here, a generalizable computational strategy is presented to design site-specific protein binders, obviating steps of extensive empirical optimization or in vitro screening. The dock-and-design pipeline retrieves complementary scaffolds from a protein structure database to a given query epitope, where the scaffold is mutated to carve a binding site de novo. The docking step utilizes a novel fingerprint that greatly simplifies and accelerates the surface complementarity evaluation. As proof-of-concept, we designed protein binders to target three distinct epitopes on two different oncogenic targets; vascular endothelial growth factor (VEGF) and interleukin-7 receptor-α (IL-7Rα). Experimental characterization of only 24 candidates identified nanomolar binders against each of the target epitopes, where the binders belonged to five different folds. Several designs were active in vitro. Moreover, anti-VEGF designs showed tumor-inhibiting activity in vivo, highlighting their therapeutic potential.
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