Hotspot-centric de novo design of protein binders.

Protein-protein interactions play critical roles in biology, and computational design of interactions could be useful in a range of applications. We describe in detail a general approach to de novo design of protein interactions based on computed, energetically optimized interaction hotspots, which was recently used to produce high-affinity binders of influenza hemagglutinin. We present several alternative approaches to identify and build the key hotspot interactions within both core secondary structural elements and variable loop regions and evaluate the method's performance in natural-interface recapitulation. We show that the method generates binding surfaces that are more conformationally restricted than previous design methods, reducing opportunities for off-target interactions.

[1]  Luhua Lai,et al.  Nonnatural protein–protein interaction-pair design by key residues grafting , 2007, Proceedings of the National Academy of Sciences.

[2]  Andreas Plückthun,et al.  Designing repeat proteins: well-expressed, soluble and stable proteins from combinatorial libraries of consensus ankyrin repeat proteins. , 2003, Journal of molecular biology.

[3]  D. Eisenberg,et al.  A method to identify protein sequences that fold into a known three-dimensional structure. , 1991, Science.

[4]  Zhiping Weng,et al.  ZRANK: Reranking protein docking predictions with an optimized energy function , 2007, Proteins.

[5]  Z. Weng,et al.  Protein–protein docking benchmark version 3.0 , 2008, Proteins.

[6]  J. Shifman,et al.  Triathlon for energy functions: Who is the winner for design of protein–protein interactions? , 2011, Proteins.

[7]  A. Bogan,et al.  Anatomy of hot spots in protein interfaces. , 1998, Journal of molecular biology.

[8]  Gevorg Grigoryan,et al.  Design of protein-interaction specificity affords selective bZIP-binding peptides , 2009, Nature.

[9]  I. Wilson,et al.  Crystal Structure of a Shark Single-Domain Antibody V Region in Complex with Lysozyme , 2004, Science.

[10]  M. Eisenstein,et al.  Computational mapping of anchoring spots on protein surfaces. , 2010, Journal of molecular biology.

[11]  D C Richardson,et al.  Looking at proteins: representations, folding, packing, and design. Biophysical Society National Lecture, 1992. , 1992, Biophysical journal.

[12]  A. Plückthun,et al.  Engineering novel binding proteins from nonimmunoglobulin domains , 2005, Nature Biotechnology.

[13]  A. Braisted,et al.  Minimizing a binding domain from protein A. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[14]  Jens Meiler,et al.  New algorithms and an in silico benchmark for computational enzyme design , 2006, Protein science : a publication of the Protein Society.

[15]  A. Fersht,et al.  Protein-protein recognition: crystal structural analysis of a barnase-barstar complex at 2.0-A resolution. , 1994, Biochemistry.

[16]  P. Harbury,et al.  Automated design of specificity in molecular recognition , 2003, Nature Structural Biology.

[17]  Andrzej Joachimiak,et al.  High-throughput crystallography for structural genomics. , 2009, Current opinion in structural biology.

[18]  Jeffrey J. Gray,et al.  Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. , 2003, Journal of molecular biology.

[19]  Burkhard Rost,et al.  Protein–Protein Interaction Hotspots Carved into Sequences , 2007, PLoS Comput. Biol..

[20]  Ruth Nussinov,et al.  PatchDock and SymmDock: servers for rigid and symmetric docking , 2005, Nucleic Acids Res..

[21]  A. Pommer,et al.  Specificity in protein-protein interactions: the structural basis for dual recognition in endonuclease colicin-immunity protein complexes. , 2000, Journal of molecular biology.

[22]  T. Clackson,et al.  A hot spot of binding energy in a hormone-receptor interface , 1995, Science.

[23]  Jasmine L. Gallaher,et al.  Alteration of enzyme specificity by computational loop remodeling and design , 2009, Proceedings of the National Academy of Sciences.

[24]  R. Nussinov,et al.  Conservation of polar residues as hot spots at protein interfaces , 2000, Proteins.

[25]  A. Koide,et al.  Monobodies: antibody mimics based on the scaffold of the fibronectin type III domain. , 2007, Methods in molecular biology.

[26]  Z. Weng,et al.  ZDOCK: An initial‐stage protein‐docking algorithm , 2003, Proteins.

[27]  T. Clackson,et al.  Structural and functional analysis of the 1:1 growth hormone:receptor complex reveals the molecular basis for receptor affinity. , 1998, Journal of molecular biology.

[28]  D. Baker,et al.  A simple physical model for binding energy hot spots in protein–protein complexes , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[29]  W. Delano The PyMOL Molecular Graphics System , 2002 .

[30]  Holger Gohlke,et al.  DrugScorePPI webserver: fast and accurate in silico alanine scanning for scoring protein–protein interactions , 2010, Nucleic Acids Res..

[31]  Leonard G. Presta,et al.  Mapping of the C1q Binding Site on Rituxan, a Chimeric Antibody with a Human IgG1 Fc , 2000, The Journal of Immunology.

[32]  A. Fersht,et al.  Rapid, electrostatically assisted association of proteins , 1996, Nature Structural Biology.

[33]  Andreas Plückthun,et al.  Engineered proteins as specific binding reagents. , 2005, Current opinion in biotechnology.

[34]  J A Wells,et al.  Dissecting the energetics of an antibody‐antigen interface by alanine shaving and molecular grafting , 1994, Protein science : a publication of the Protein Society.

[35]  G. Moore,et al.  Protein-protein interactions in colicin E9 DNase-immunity protein complexes. 1. Diffusion-controlled association and femtomolar binding for the cognate complex. , 1995, Biochemistry.

[36]  R. Nussinov,et al.  Protein–protein interactions: Structurally conserved residues distinguish between binding sites and exposed protein surfaces , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Collaborative Computational,et al.  The CCP4 suite: programs for protein crystallography. , 1994, Acta crystallographica. Section D, Biological crystallography.

[38]  C. E. Stebbins,et al.  Modulation of host signaling by a bacterial mimic: structure of the Salmonella effector SptP bound to Rac1. , 2000, Molecular cell.

[39]  Jens Meiler,et al.  RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite , 2011, PloS one.

[40]  Jorge E. Galán,et al.  Structural mimicry in bacterial virulence , 2001, Nature.

[41]  David Baker,et al.  A de novo protein binding pair by computational design and directed evolution. , 2011, Molecular cell.

[42]  D. Baker,et al.  Restricted sidechain plasticity in the structures of native proteins and complexes , 2011, Protein science : a publication of the Protein Society.

[43]  Elisabeth L. Humphris,et al.  Prediction of protein-protein interface sequence diversity using flexible backbone computational protein design. , 2008, Structure.

[44]  P. Chakrabarti,et al.  Conservation and relative importance of residues across protein-protein interfaces , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[45]  David E. Kim,et al.  Computational Alanine Scanning of Protein-Protein Interfaces , 2004, Science's STKE.

[46]  C. Chothia,et al.  The atomic structure of protein-protein recognition sites. , 1999, Journal of molecular biology.

[47]  Timothy A. Whitehead,et al.  Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin , 2011, Science.

[48]  A. Plückthun,et al.  High-affinity binders selected from designed ankyrin repeat protein libraries , 2004, Nature Biotechnology.

[49]  Gregory R. Hoffman,et al.  Structures of Cdc42 bound to the active and catalytically compromised forms of Cdc42GAP , 1998, Nature Structural Biology.

[50]  Roland L. Dunbrack,et al.  Conformational analysis of the backbone-dependent rotamer preferences of protein sidechains , 1994, Nature Structural Biology.

[51]  Gira Bhabha,et al.  Antibody Recognition of a Highly Conserved Influenza Virus Epitope , 2009, Science.

[52]  D. Baker,et al.  Role of conformational sampling in computing mutation‐induced changes in protein structure and stability , 2011, Proteins.

[53]  H. Wolfson,et al.  Shape complementarity at protein–protein interfaces , 1994, Biopolymers.

[54]  S. Anderson,et al.  Alanine Point-Mutations in the Reactive Region of Bovine Pancreatic Trypsin Inhibitor: Effects on the Kinetics and Thermodynamics of Binding to β-Trypsin and α-Chymotrypsin† , 1996 .

[55]  E. Coutsias,et al.  Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling , 2009, Nature Methods.

[56]  Gordon E. Moore,et al.  Lithography and the future of Moore's law , 2006, Advanced Lithography.

[57]  Sachdev S Sidhu,et al.  Comprehensive and Quantitative Mapping of Energy Landscapes for Protein-Protein Interactions by Rapid Combinatorial Scanning*♦ , 2006, Journal of Biological Chemistry.

[58]  D. Baker,et al.  Design of a Novel Globular Protein Fold with Atomic-Level Accuracy , 2003, Science.

[59]  David Baker,et al.  Motif‐directed flexible backbone design of functional interactions , 2009, Protein science : a publication of the Protein Society.

[60]  David Baker,et al.  Macromolecular modeling with rosetta. , 2008, Annual review of biochemistry.