Literature DB >> 19360809

Cluster expansion models for flexible-backbone protein energetics.

James R Apgar1, Seungsoo Hahn, Gevorg Grigoryan, Amy E Keating.   

Abstract

Protein structure prediction and design often involve discrete modeling of side-chain conformations on structural templates. Introducing backbone flexibility into such models has proven important in many different applications. Backbone flexibility improves model accuracy and provides access to larger sequence spaces in computational design, although at a cost in complexity and time. Here, we show that the influence of backbone flexibility on protein conformational energetics can be treated implicitly, at the level of sequence, using the technique of cluster expansion. Cluster expansion provides a way to convert structure-based energies into functions of sequence alone. It leads to dramatic speed-ups in energy evaluation and provides a convenient functional form for the analysis and optimization of sequence-structure relationships. We show that it can be applied effectively to flexible-backbone structural models using four proteins: alpha-helical coiled-coil dimers and trimers, zinc fingers, and Bcl-xL/peptide complexes. For each of these, low errors for the sequence-based models when compared with structure-based evaluations show that this new way of treating backbone flexibility has considerable promise, particularly for protein design. Copyright 2009 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19360809     DOI: 10.1002/jcc.21249

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  10 in total

1.  In silico and in vitro elucidation of BH3 binding specificity toward Bcl-2.

Authors:  Nir London; Stefano Gullá; Amy E Keating; Ora Schueler-Furman
Journal:  Biochemistry       Date:  2012-07-12       Impact factor: 3.162

Review 2.  Algorithms for protein design.

Authors:  Pablo Gainza; Hunter M Nisonoff; Bruce R Donald
Journal:  Curr Opin Struct Biol       Date:  2016-04-14       Impact factor: 6.809

3.  Computational design of selective peptides to discriminate between similar PDZ domains in an oncogenic pathway.

Authors:  Fan Zheng; Heather Jewell; Jeremy Fitzpatrick; Jian Zhang; Dale F Mierke; Gevorg Grigoryan
Journal:  J Mol Biol       Date:  2014-10-30       Impact factor: 5.469

4.  Increasing sequence diversity with flexible backbone protein design: the complete redesign of a protein hydrophobic core.

Authors:  Grant S Murphy; Jeffrey L Mills; Michael J Miley; Mischa Machius; Thomas Szyperski; Brian Kuhlman
Journal:  Structure       Date:  2012-05-24       Impact factor: 5.006

Review 5.  Conformational diversity and computational enzyme design.

Authors:  Jonathan K Lassila
Journal:  Curr Opin Chem Biol       Date:  2010-09-07       Impact factor: 8.822

Review 6.  Specificity in computational protein design.

Authors:  James J Havranek
Journal:  J Biol Chem       Date:  2010-07-29       Impact factor: 5.157

Review 7.  Computational design of affinity and specificity at protein-protein interfaces.

Authors:  John Karanicolas; Brian Kuhlman
Journal:  Curr Opin Struct Biol       Date:  2009-07-29       Impact factor: 6.809

8.  Transient protein-protein interaction of the SH3-peptide complex via closely located multiple binding sites.

Authors:  Seungsoo Hahn; Dongsup Kim
Journal:  PLoS One       Date:  2012-03-22       Impact factor: 3.240

9.  Design of protein-interaction specificity gives selective bZIP-binding peptides.

Authors:  Gevorg Grigoryan; Aaron W Reinke; Amy E Keating
Journal:  Nature       Date:  2009-04-16       Impact factor: 49.962

10.  Reprogramming homing endonuclease specificity through computational design and directed evolution.

Authors:  Summer B Thyme; Sandrine J S Boissel; S Arshiya Quadri; Tony Nolan; Dean A Baker; Rachel U Park; Lara Kusak; Justin Ashworth; David Baker
Journal:  Nucleic Acids Res       Date:  2013-11-21       Impact factor: 16.971

  10 in total

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