Literature DB >> 11473020

0j.py: a software tool for low complexity proteins and protein domains.

M J Wise1.   

Abstract

Low complexity proteins and protein domains have sequences which appear highly non-random. Over the years, these sequences have been routinely filtered out during sequence similarity searches because interest has been focused on globular proteins, and inclusion of these domains can severely skew search results. However, early work on these proteins and more recent studies of the related area of repeated protein sequences suggests that low complexity protein domains have function and therefore are in need of further investigation. 0j.py is a new tool for demarcating low complexity protein domains more accurately than has been possible to date. The paper describes 0j.py and its use in revealing proteins with repeated and poly-amino-acid peptides. Statistical methods are then employed to to examine the distribution of these proteins across species, while keyword clustering is used to suggest roles performed by proteins through the use of low complexity domains.

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Year:  2001        PMID: 11473020     DOI: 10.1093/bioinformatics/17.suppl_1.s288

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  5 in total

1.  Composition-modified matrices improve identification of homologs of saccharomyces cerevisiae low-complexity glycoproteins.

Authors:  Juan E Coronado; Oliver Attie; Susan L Epstein; Wei-Gang Qiu; Peter N Lipke
Journal:  Eukaryot Cell       Date:  2006-04

2.  Intrinsically disordered proteins as molecular shields.

Authors:  Sohini Chakrabortee; Rashmi Tripathi; Matthew Watson; Gabriele S Kaminski Schierle; Davy P Kurniawan; Clemens F Kaminski; Michael J Wise; Alan Tunnacliffe
Journal:  Mol Biosyst       Date:  2011-09-09

3.  Exhaustive assignment of compositional bias reveals universally prevalent biased regions: analysis of functional associations in human and Drosophila.

Authors:  Paul M Harrison
Journal:  BMC Bioinformatics       Date:  2006-10-10       Impact factor: 3.169

4.  Analysis of two large functionally uncharacterized regions in the Methanopyrus kandleri AV19 genome.

Authors:  Lars Juhl Jensen; Marie Skovgaard; Thomas Sicheritz-Pontén; Merete Kjaer Jørgensen; Christiane Lundegaard; Corinna Cavan Pedersen; Nanna Petersen; David Ussery
Journal:  BMC Genomics       Date:  2003-04-02       Impact factor: 3.969

5.  LEAping to conclusions: a computational reanalysis of late embryogenesis abundant proteins and their possible roles.

Authors:  Michael J Wise
Journal:  BMC Bioinformatics       Date:  2003-10-29       Impact factor: 3.169

  5 in total

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