Literature DB >> 16678402

Protein structure comparison: implications for the nature of 'fold space', and structure and function prediction.

Rachel Kolodny1, Donald Petrey, Barry Honig.   

Abstract

The identification of geometric relationships between protein structures offers a powerful approach to predicting the structure and function of proteins. Methods to detect such relationships range from human pattern recognition to a variety of mathematical algorithms. A number of schemes for the classification of protein structure have found widespread use and these implicitly assume the organization of protein structure space into discrete categories. Recently, an alternative view has emerged in which protein fold space is seen as continuous and multidimensional. Significant relationships have been observed between proteins that belong to what have been termed different 'folds'. There has been progress in the use of these relationships in the prediction of protein structure and function.

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Year:  2006        PMID: 16678402     DOI: 10.1016/j.sbi.2006.04.007

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  72 in total

Review 1.  Protein folds and protein folding.

Authors:  R Dustin Schaeffer; Valerie Daggett
Journal:  Protein Eng Des Sel       Date:  2010-11-03       Impact factor: 1.650

2.  Generation of a consensus protein domain dictionary.

Authors:  R Dustin Schaeffer; Amanda L Jonsson; Andrew M Simms; Valerie Daggett
Journal:  Bioinformatics       Date:  2010-11-09       Impact factor: 6.937

3.  iAlign: a method for the structural comparison of protein-protein interfaces.

Authors:  Mu Gao; Jeffrey Skolnick
Journal:  Bioinformatics       Date:  2010-07-11       Impact factor: 6.937

4.  Detailed analysis of function divergence in a large and diverse domain superfamily: toward a refined protocol of function classification.

Authors:  Benoit H Dessailly; Oliver C Redfern; Alison L Cuff; Christine A Orengo
Journal:  Structure       Date:  2010-11-10       Impact factor: 5.006

5.  Nonlinearities in protein space limit the utility of informatics in protein biophysics.

Authors:  S Rackovsky
Journal:  Proteins       Date:  2015-09-10

6.  Landmark-free geometric methods in biological shape analysis.

Authors:  Patrice Koehl; Joel Hass
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

7.  Protein-fold recognition using an improved single-source K diverse shortest paths algorithm.

Authors:  John Lhota; Lei Xie
Journal:  Proteins       Date:  2016-02-04

8.  De novo identification of VRC01 class HIV-1-neutralizing antibodies by next-generation sequencing of B-cell transcripts.

Authors:  Jiang Zhu; Xueling Wu; Baoshan Zhang; Krisha McKee; Sijy O'Dell; Cinque Soto; Tongqing Zhou; Joseph P Casazza; James C Mullikin; Peter D Kwong; John R Mascola; Lawrence Shapiro
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-08       Impact factor: 11.205

Review 9.  Exploring the structure and function paradigm.

Authors:  Oliver C Redfern; Benoit Dessailly; Christine A Orengo
Journal:  Curr Opin Struct Biol       Date:  2008-06       Impact factor: 6.809

Review 10.  The protein meta-structure: a novel concept for chemical and molecular biology.

Authors:  Robert Konrat
Journal:  Cell Mol Life Sci       Date:  2009-08-19       Impact factor: 9.261

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