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A De Novo Protein Binding Pair By Computational Design and Directed Evolution

  • John Karanicolas
  • , Jacob E. Corn
  • , Irwin Chen
  • , Lukasz A. Joachimiak
  • , Orly Dym
  • , Sun H. Peck
  • , Shira Albeck
  • , Tamar Unger
  • , Wenxin Hu
  • , Gaohua Liu
  • , Scott Delbecq
  • , Gaetano T. Montelione
  • , Clint P. Spiegel
  • , David R. Liu
  • , David Baker
  • University of Washington
  • University of Kansas
  • Genentech Incorporated
  • Harvard University
  • Stanford University
  • Weizmann Institute of Science
  • Rutgers - The State University of New Jersey, New Brunswick
  • Western Washington University

Research output: Contribution to journalArticlepeer-review

149 Scopus citations

Abstract

The de novo design of protein-protein interfaces is a stringent test of our understanding of the principles underlying protein-protein interactions and would enable unique approaches to biological and medical challenges. Here we describe a motif-based method to computationally design protein-protein complexes with native-like interface composition and interaction density. Using this method we designed a pair of proteins, Prb and Pdar, that heterodimerize with a Kd of 130 nM, 1000-fold tighter than any previously designed de novo protein-protein complex. Directed evolution identified two point mutations that improve affinity to 180 pM. Crystal structures of an affinity-matured complex reveal binding is entirely through the designed interface residues. Surprisingly, in the in vitro evolved complex one of the partners is rotated 180° relative to the original design model, yet still maintains the central computationally designed hotspot interaction and preserves the character of many peripheral interactions. This work demonstrates that high-affinity protein interfaces can be created by designing complementary interaction surfaces on two noninteracting partners and underscores remaining challenges.

Original languageEnglish
Pages (from-to)250-260
Number of pages11
JournalMolecular Cell
Volume42
Issue number2
DOIs
StatePublished - Apr 22 2011

Keywords

  • Binding Sites
  • Chemistry Techniques, Analytical
  • Computer-Aided Design
  • Models, Molecular
  • Molecular Weight
  • Mutation
  • Protein Binding
  • Protein Conformation
  • Protein Interaction Domains and Motifs
  • Protein Interaction Mapping
  • Protein Multimerization
  • Proteins/chemistry
  • Surface Properties

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