Literature DB >> 19841629

Computer-aided design of functional protein interactions.

Daniel J Mandell1, Tanja Kortemme.   

Abstract

Predictive methods for the computational design of proteins search for amino acid sequences adopting desired structures that perform specific functions. Typically, design of 'function' is formulated as engineering new and altered binding activities into proteins. Progress in the design of functional protein-protein interactions is directed toward engineering proteins to precisely control biological processes by specifically recognizing desired interaction partners while avoiding competitors. The field is aiming for strategies to harness recent advances in high-resolution computational modeling-particularly those exploiting protein conformational variability-to engineer new functions and incorporate many functional requirements simultaneously.

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Year:  2009        PMID: 19841629     DOI: 10.1038/nchembio.251

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  102 in total

Review 1.  Energy functions for protein design.

Authors:  D B Gordon; S A Marshall; S L Mayo
Journal:  Curr Opin Struct Biol       Date:  1999-08       Impact factor: 6.809

2.  Rational design of a GCN4-derived mimetic of interleukin-4.

Authors:  H Domingues; D Cregut; W Sebald; H Oschkinat; L Serrano
Journal:  Nat Struct Biol       Date:  1999-07

3.  Energy functions for protein design: adjustment with protein-protein complex affinities, models for the unfolded state, and negative design of solubility and specificity.

Authors:  Navin Pokala; Tracy M Handel
Journal:  J Mol Biol       Date:  2005-01-20       Impact factor: 5.469

Review 4.  Progress in modeling of protein structures and interactions.

Authors:  Ora Schueler-Furman; Chu Wang; Phil Bradley; Kira Misura; David Baker
Journal:  Science       Date:  2005-10-28       Impact factor: 47.728

Review 5.  Computer-based design of novel protein structures.

Authors:  Glenn L Butterfoss; Brian Kuhlman
Journal:  Annu Rev Biophys Biomol Struct       Date:  2006

6.  Toward full-sequence de novo protein design with flexible templates for human beta-defensin-2.

Authors:  Ho Ki Fung; Christodoulos A Floudas; Martin S Taylor; Li Zhang; Dimitrios Morikis
Journal:  Biophys J       Date:  2007-09-07       Impact factor: 4.033

Review 7.  Progress in computational protein design.

Authors:  Shaun M Lippow; Bruce Tidor
Journal:  Curr Opin Biotechnol       Date:  2007-07-20       Impact factor: 9.740

8.  A simple model of backbone flexibility improves modeling of side-chain conformational variability.

Authors:  Gregory D Friedland; Anthony J Linares; Colin A Smith; Tanja Kortemme
Journal:  J Mol Biol       Date:  2008-05-11       Impact factor: 5.469

9.  Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes.

Authors:  J W Ponder; F M Richards
Journal:  J Mol Biol       Date:  1987-02-20       Impact factor: 5.469

10.  Emergence of protein fold families through rational design.

Authors:  Feng Ding; Nikolay V Dokholyan
Journal:  PLoS Comput Biol       Date:  2006-05-26       Impact factor: 4.475

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  74 in total

1.  Optimization of the in-silico-designed kemp eliminase KE70 by computational design and directed evolution.

Authors:  Olga Khersonsky; Daniela Röthlisberger; Andrew M Wollacott; Paul Murphy; Orly Dym; Shira Albeck; Gert Kiss; K N Houk; David Baker; Dan S Tawfik
Journal:  J Mol Biol       Date:  2011-01-28       Impact factor: 5.469

2.  Computational design of a symmetric homodimer using β-strand assembly.

Authors:  P Benjamin Stranges; Mischa Machius; Michael J Miley; Ashutosh Tripathy; Brian Kuhlman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-05       Impact factor: 11.205

3.  Control of protein signaling using a computationally designed GTPase/GEF orthogonal pair.

Authors:  Gregory T Kapp; Sen Liu; Amelie Stein; Derek T Wong; Attila Reményi; Brian J Yeh; James S Fraser; Jack Taunton; Wendell A Lim; Tanja Kortemme
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-07       Impact factor: 11.205

4.  Combining different design strategies for rational affinity maturation of the MICA-NKG2D interface.

Authors:  Samuel H Henager; Melissa A Hale; Nicholas J Maurice; Erin C Dunnington; Carter J Swanson; Megan J Peterson; Joseph J Ban; David J Culpepper; Luke D Davies; Lisa K Sanders; Benjamin J McFarland
Journal:  Protein Sci       Date:  2012-08-10       Impact factor: 6.725

5.  Creating novel proteins by combining design and selection.

Authors:  Tijana Z Grove; Michael Hands; Lynne Regan
Journal:  Protein Eng Des Sel       Date:  2010-03-19       Impact factor: 1.650

6.  Engineering a protein-protein interface using a computationally designed library.

Authors:  Gurkan Guntas; Carrie Purbeck; Brian Kuhlman
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-25       Impact factor: 11.205

7.  Identification of interacting hot spots in the beta3 integrin stalk using comprehensive interface design.

Authors:  Jason E Donald; Hua Zhu; Rustem I Litvinov; William F DeGrado; Joel S Bennett
Journal:  J Biol Chem       Date:  2010-10-07       Impact factor: 5.157

8.  PyETV: a PyMOL evolutionary trace viewer to analyze functional site predictions in protein complexes.

Authors:  Rhonald C Lua; Olivier Lichtarge
Journal:  Bioinformatics       Date:  2010-10-06       Impact factor: 6.937

Review 9.  Protein binding specificity versus promiscuity.

Authors:  Gideon Schreiber; Amy E Keating
Journal:  Curr Opin Struct Biol       Date:  2010-11-09       Impact factor: 6.809

10.  Distributions of experimental protein structures on coarse-grained free energy landscapes.

Authors:  Kannan Sankar; Jie Liu; Yuan Wang; Robert L Jernigan
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

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