Document Detail


Prediction and functional analysis of native disorder in proteins from the three kingdoms of life.
MedLine Citation:
PMID:  15019783     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An automatic method for recognizing natively disordered regions from amino acid sequence is described and benchmarked against predictors that were assessed at the latest critical assessment of techniques for protein structure prediction (CASP) experiment. The method attains a Wilcoxon score of 90.0, which represents a statistically significant improvement on the methods evaluated on the same targets at CASP. The classifier, DISOPRED2, was used to estimate the frequency of native disorder in several representative genomes from the three kingdoms of life. Putative, long (>30 residue) disordered segments are found to occur in 2.0% of archaean, 4.2% of eubacterial and 33.0% of eukaryotic proteins. The function of proteins with long predicted regions of disorder was investigated using the gene ontology annotations supplied with the Saccharomyces genome database. The analysis of the yeast proteome suggests that proteins containing disorder are often located in the cell nucleus and are involved in the regulation of transcription and cell signalling. The results also indicate that native disorder is associated with the molecular functions of kinase activity and nucleic acid binding.
Authors:
J J Ward; J S Sodhi; L J McGuffin; B F Buxton; D T Jones
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of molecular biology     Volume:  337     ISSN:  0022-2836     ISO Abbreviation:  J. Mol. Biol.     Publication Date:  2004 Mar 
Date Detail:
Created Date:  2004-03-15     Completed Date:  2004-04-27     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  2985088R     Medline TA:  J Mol Biol     Country:  England    
Other Details:
Languages:  eng     Pagination:  635-45     Citation Subset:  IM    
Affiliation:
Bioinformatics Unit, Department of Computer Science, University College London, Gower Street, London WC1E 6BT, UK.
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MeSH Terms
Descriptor/Qualifier:
Databases, Genetic
Genome
Genome, Bacterial
Genome, Fungal
Models, Molecular*
Protein Conformation
Proteins / chemistry*
Chemical
Reg. No./Substance:
0/Proteins

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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