Design of protein-binding proteins from the target structure alone

Longxing Cao(University of Washington), Brian Coventry(University of Washington), Inna Goreshnik(University of Washington), Buwei Huang(University of Washington), William Sheffler(University of Washington), Joon Sung Park(Yale University), Kevin M. Jude(Howard Hughes Medical Institute), Iva Marković(Ghent University), Rameshwar U. Kadam(Scripps Research Institute), Koen H. G. Verschueren(Ghent University), Kenneth Verstraete(Ghent University), Scott Thomas Russell Walsh(National Institutes of Health), Nathaniel R. Bennett(University of Washington), Ashish Phal(University of Washington), Aerin Yang(Howard Hughes Medical Institute), Lisa Kozodoy(University of Washington), Michelle DeWitt(University of Washington), Lora K. Picton(Howard Hughes Medical Institute), L. M. Miller(University of Washington), Eva‐Maria Strauch(University of Georgia), Nicholas D. DeBouver(Center for Infectious Disease Research), Allison Pires(Center for Infectious Disease Research), Asim K. Bera(University of Washington), Samer Halabiya(University of Washington), Bradley Hammerson(Center for Infectious Disease Research), Wei Yang(University of Washington), Steffen M. Bernard(Scripps Research Institute), Lance Stewart(University of Washington), Ian A. Wilson(Scripps Research Institute), Hannele Ruohola‐Baker(University of Washington), Joseph Schlessinger(Yale University), Sangwon Lee(Yale University), Savvas N. Savvides(Ghent University), K. Christopher García(Howard Hughes Medical Institute), David Baker(Howard Hughes Medical Institute)
Nature
March 24, 2022
Cited by 557Open Access
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Abstract

. Here we describe a general solution to this problem that starts with a broad exploration of the vast space of possible binding modes to a selected region of a protein surface, and then intensifies the search in the vicinity of the most promising binding modes. We demonstrate the broad applicability of this approach through the de novo design of binding proteins to 12 diverse protein targets with different shapes and surface properties. Biophysical characterization shows that the binders, which are all smaller than 65 amino acids, are hyperstable and, following experimental optimization, bind their targets with nanomolar to picomolar affinities. We succeeded in solving crystal structures of five of the binder-target complexes, and all five closely match the corresponding computational design models. Experimental data on nearly half a million computational designs and hundreds of thousands of point mutants provide detailed feedback on the strengths and limitations of the method and of our current understanding of protein-protein interactions, and should guide improvements of both. Our approach enables the targeted design of binders to sites of interest on a wide variety of proteins for therapeutic and diagnostic applications.


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