Literature DB >> 12417203

Quantifying the similarities within fold space.

Andrew Harrison1, Frances Pearl, Richard Mott, Janet Thornton, Christine Orengo.   

Abstract

We have used GRATH, a graph-based structure comparison algorithm, to map the similarities between the different folds observed in the CATH domain structure database. Statistical analysis of the distributions of the fold similarities has allowed us to assess the significance for any similarity. Therefore we have examined whether it is best to represent folds as discrete entities or whether, in fact, a more accurate model would be a continuum wherein folds overlap via common motifs. To do this we have introduced a new statistical measure of fold similarity, termed gregariousness. For a particular fold, gregariousness measures how many other folds have a significant structural overlap with that fold, typically comprising 40% or more of the larger structure. Gregarious folds often contain commonly occurring super-secondary structural motifs, such as beta-meanders, greek keys, alpha-beta plait motifs or alpha-hairpins, which are matching similar motifs in other folds. Apart from one example, all the most gregarious folds matching 20% or more of the other folds in the database, are alpha-beta proteins. They also occur in highly populated architectural regions of fold space, adopting sandwich-like arrangements containing two or more layers of alpha-helices and beta-strands.Domains that exhibit a low gregariousness, are those that have very distinctive folds, with few common motifs or motifs that are packed in unusual arrangements. Most of the superhelices exhibit low gregariousness despite containing some commonly occurring super-secondary structural motifs. In these folds, these common motifs are combined in an unusual way and represent a small proportion of the fold (<10%). Our results suggest that fold space may be considered as continuous for some architectural arrangements (e.g. alpha-beta sandwiches), in that super-secondary motifs can be used to link neighbouring fold groups. However, in other regions of fold space much more discrete topologies are observed with little similarity between folds.

Mesh:

Year:  2002        PMID: 12417203     DOI: 10.1016/s0022-2836(02)00992-0

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  60 in total

1.  From protein structure to biochemical function?

Authors:  Roman A Laskowski; James D Watson; Janet M Thornton
Journal:  J Struct Funct Genomics       Date:  2003

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

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

3.  The CATH database: an extended protein family resource for structural and functional genomics.

Authors:  F M G Pearl; C F Bennett; J E Bray; A P Harrison; N Martin; A Shepherd; I Sillitoe; J Thornton; C A Orengo
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

Review 4.  Target selection and determination of function in structural genomics.

Authors:  James D Watson; Annabel E Todd; James Bray; Roman A Laskowski; Aled Edwards; Andrzej Joachimiak; Christine A Orengo; Janet M Thornton
Journal:  IUBMB Life       Date:  2003 Apr-May       Impact factor: 3.885

Review 5.  Structural genomics: computational methods for structure analysis.

Authors:  Sharon Goldsmith-Fischman; Barry Honig
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

6.  FoldMiner and LOCK 2: protein structure comparison and motif discovery on the web.

Authors:  Jessica Shapiro; Douglas Brutlag
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

7.  Database searching by flexible protein structure alignment.

Authors:  Yuzhen Ye; Adam Godzik
Journal:  Protein Sci       Date:  2004-07       Impact factor: 6.725

8.  Local feature frequency profile: a method to measure structural similarity in proteins.

Authors:  In-Geol Choi; Jaimyoung Kwon; Sung-Hou Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-25       Impact factor: 11.205

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

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

10.  The protein structure prediction problem could be solved using the current PDB library.

Authors:  Yang Zhang; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-14       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.