Literature DB >> 21945116

Hotspot-centric de novo design of protein binders.

Sarel J Fleishman1, Jacob E Corn, Eva-Maria Strauch, Timothy A Whitehead, John Karanicolas, David Baker.   

Abstract

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.
Copyright © 2011. Published by Elsevier Ltd.

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Year:  2011        PMID: 21945116      PMCID: PMC4144197          DOI: 10.1016/j.jmb.2011.09.001

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  58 in total

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2.  Conservation and relative importance of residues across protein-protein interfaces.

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Review 3.  Engineering novel binding proteins from nonimmunoglobulin domains.

Authors:  H Kaspar Binz; Patrick Amstutz; Andreas Plückthun
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4.  Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling.

Authors:  Daniel J Mandell; Evangelos A Coutsias; Tanja Kortemme
Journal:  Nat Methods       Date:  2009-08       Impact factor: 28.547

Review 5.  Macromolecular modeling with rosetta.

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Journal:  Annu Rev Biochem       Date:  2008       Impact factor: 23.643

6.  A hot spot of binding energy in a hormone-receptor interface.

Authors:  T Clackson; J A Wells
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Authors:  Oz Sharabi; Ayelet Dekel; Julia M Shifman
Journal:  Proteins       Date:  2011-03-01

8.  Structural and functional analysis of the 1:1 growth hormone:receptor complex reveals the molecular basis for receptor affinity.

Authors:  T Clackson; M H Ultsch; J A Wells; A M de Vos
Journal:  J Mol Biol       Date:  1998-04-17       Impact factor: 5.469

9.  Alanine point-mutations in the reactive region of bovine pancreatic trypsin inhibitor: effects on the kinetics and thermodynamics of binding to beta-trypsin and alpha-chymotrypsin.

Authors:  M J Castro; S Anderson
Journal:  Biochemistry       Date:  1996-09-03       Impact factor: 3.162

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Authors:  Yanay Ofran; Burkhard Rost
Journal:  PLoS Comput Biol       Date:  2007-07       Impact factor: 4.475

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  18 in total

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Authors:  Eva-Maria Strauch; Sarel J Fleishman; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-31       Impact factor: 11.205

2.  Defining the disulfide bonds of insulin-like growth factor-binding protein-5 by tandem mass spectrometry with electron transfer dissociation and collision-induced dissociation.

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Journal:  J Biol Chem       Date:  2011-11-22       Impact factor: 5.157

Review 3.  Computational design and experimental optimization of protein binders with prospects for biomedical applications.

Authors:  Alessandro Bonadio; Julia M Shifman
Journal:  Protein Eng Des Sel       Date:  2021-02-15       Impact factor: 1.952

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Authors:  Bryan S Der; Ramesh K Jha; Raamesh K Jha; Steven M Lewis; Peter M Thompson; Gurkan Guntas; Brian Kuhlman
Journal:  Proteins       Date:  2013-04-20

Review 5.  Strategies to control the binding mode of de novo designed protein interactions.

Authors:  Bryan S Der; Brian Kuhlman
Journal:  Curr Opin Struct Biol       Date:  2013-05-31       Impact factor: 6.809

Review 6.  Recent advances in automated protein design and its future challenges.

Authors:  Dani Setiawan; Jeffrey Brender; Yang Zhang
Journal:  Expert Opin Drug Discov       Date:  2018-04-25       Impact factor: 6.098

7.  AbDesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences.

Authors:  Gideon D Lapidoth; Dror Baran; Gabriele M Pszolla; Christoffer Norn; Assaf Alon; Michael D Tyka; Sarel J Fleishman
Journal:  Proteins       Date:  2015-06-06

8.  Computational design of a protein-based enzyme inhibitor.

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Journal:  J Mol Biol       Date:  2013-07-01       Impact factor: 5.469

9.  Computational design of self-assembling protein nanomaterials with atomic level accuracy.

Authors:  Neil P King; William Sheffler; Michael R Sawaya; Breanna S Vollmar; John P Sumida; Ingemar André; Tamir Gonen; Todd O Yeates; David Baker
Journal:  Science       Date:  2012-06-01       Impact factor: 47.728

10.  Modeling Immunity with Rosetta: Methods for Antibody and Antigen Design.

Authors:  Clara T Schoeder; Samuel Schmitz; Jared Adolf-Bryfogle; Alexander M Sevy; Jessica A Finn; Marion F Sauer; Nina G Bozhanova; Benjamin K Mueller; Amandeep K Sangha; Jaume Bonet; Jonathan H Sheehan; Georg Kuenze; Brennica Marlow; Shannon T Smith; Hope Woods; Brian J Bender; Cristina E Martina; Diego Del Alamo; Pranav Kodali; Alican Gulsevin; William R Schief; Bruno E Correia; James E Crowe; Jens Meiler; Rocco Moretti
Journal:  Biochemistry       Date:  2021-03-11       Impact factor: 3.162

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