Literature DB >> 9749914

A re-estimation for the total numbers of protein folds and superfamilies.

Z X Wang1.   

Abstract

The issue of the number of protein folds is steeped in controversy despite its significance for understanding evolution and predicting protein structure from amino acid sequence. Using various assumptions, several research groups have tackled this problem with very different results. In the present study, a more rigorous statistical approach is used to address this question. From three different data sets, the total number of protein folds is estimated to be about 650. A detailed theoretical analysis suggests that (i) a random sample of non-transmembrane protein families has been selected for crystallization and structural determination, (ii) except for about 40 folds, most protein folds occurring in nature contain about the same number of different protein families. With the estimation of the total number of protein folds, the number of naturally occurring superfamilies can then be estimated as 1150.

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Year:  1998        PMID: 9749914     DOI: 10.1093/protein/11.8.621

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  8 in total

1.  Expectations from structural genomics.

Authors:  S E Brenner; M Levitt
Journal:  Protein Sci       Date:  2000-01       Impact factor: 6.725

2.  Estimating the probability for a protein to have a new fold: A statistical computational model.

Authors:  E Portugaly; M Linial
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

3.  Sequence variations within protein families are linearly related to structural variations.

Authors:  Patrice Koehl; Michael Levitt
Journal:  J Mol Biol       Date:  2002-10-25       Impact factor: 5.469

4.  FoldMiner: structural motif discovery using an improved superposition algorithm.

Authors:  Jessica Shapiro; Douglas Brutlag
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

5.  Statistical significance of threading scores.

Authors:  Afshin Fayyaz Movaghar; Guillaume Launay; Sophie Schbath; Jean-François Gibrat; François Rodolphe
Journal:  J Comput Biol       Date:  2011-12-09       Impact factor: 1.479

6.  Growth of novel protein structural data.

Authors:  Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-20       Impact factor: 11.205

7.  Novel protein folds and their nonsequential structural analogs.

Authors:  Aysam Guerler; Ernst-Walter Knapp
Journal:  Protein Sci       Date:  2008-06-26       Impact factor: 6.725

8.  Exploring dynamics of protein structure determination and homology-based prediction to estimate the number of superfamilies and folds.

Authors:  Ruslan I Sadreyev; Nick V Grishin
Journal:  BMC Struct Biol       Date:  2006-03-20
  8 in total

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