Literature DB >> 11551185

Review: protein design--where we were, where we are, where we're going.

N Pokala1, T M Handel.   

Abstract

Protein design has become a powerful approach for understanding the relationship between amino acid sequence and 3-dimensional structure. In the past 5 years, there have been many breakthroughs in the development of computational methods that allow the selection of novel sequences given the structure of a protein backbone. Successful design of protein scaffolds has now paved the way for new endeavors to design function. The ability to design sequences compatible with a fold may also be useful in structural and functional genomics by expanding the range of proteins used for fold recognition and for the identification of functionally important domains from multiple sequence alignments. Copyright 2001 Academic Press.

Mesh:

Year:  2001        PMID: 11551185     DOI: 10.1006/jsbi.2001.4349

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  28 in total

1.  A simple physical model for binding energy hot spots in protein-protein complexes.

Authors:  Tanja Kortemme; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-15       Impact factor: 11.205

2.  Thoroughly sampling sequence space: large-scale protein design of structural ensembles.

Authors:  Stefan M Larson; Jeremy L England; John R Desjarlais; Vijay S Pande
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

3.  Combining computational and experimental screening for rapid optimization of protein properties.

Authors:  Robert J Hayes; Jorg Bentzien; Marie L Ary; Marian Y Hwang; Jonathan M Jacinto; Jöst Vielmetter; Anirban Kundu; Bassil I Dahiyat
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-21       Impact factor: 11.205

4.  Energy functions for protein design I: efficient and accurate continuum electrostatics and solvation.

Authors:  Navin Pokala; Tracy M Handel
Journal:  Protein Sci       Date:  2004-03-09       Impact factor: 6.725

5.  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

6.  Reduced C(beta) statistical potentials can outperform all-atom potentials in decoy identification.

Authors:  James E Fitzgerald; Abhishek K Jha; Andres Colubri; Tobin R Sosnick; Karl F Freed
Journal:  Protein Sci       Date:  2007-10       Impact factor: 6.725

7.  Rational stabilization of enzymes by computational redesign of surface charge-charge interactions.

Authors:  Alexey V Gribenko; Mayank M Patel; Jiajing Liu; Scott A McCallum; Chunyu Wang; George I Makhatadze
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-05       Impact factor: 11.205

8.  Using protein design for homology detection and active site searches.

Authors:  Jimin Pei; Nikolay V Dokholyan; Eugene I Shakhnovich; Nick V Grishin
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-15       Impact factor: 11.205

9.  Chimeric glutathione S-transferases containing inserts of kininogen peptides: potential novel protein therapeutics.

Authors:  Amber A Bentley; Sergei M Merkulov; Yi Peng; Rita Rozmarynowycz; Xiaoping Qi; Marianne Pusztai-Carey; William C Merrick; Vivien C Yee; Keith R McCrae; Anton A Komar
Journal:  J Biol Chem       Date:  2012-05-10       Impact factor: 5.157

Review 10.  Energy functions in de novo protein design: current challenges and future prospects.

Authors:  Zhixiu Li; Yuedong Yang; Jian Zhan; Liang Dai; Yaoqi Zhou
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

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