Literature DB >> 17483506

Automated Improvement of Domain ANnotations using context analysis of domain arrangements (AIDAN).

Francois Beaussart1, January Weiner, Erich Bornberg-Bauer.   

Abstract

MOTIVATION: Since protein domains are the units of evolution, databases of domain signatures such as ProDom or Pfam enable both a sensitive and selective sequence analysis. However, manually curated databases have a low coverage and automatically generated ones often miss relationships which have not yet been discovered between domains or cannot display similarities between domains which have drifted apart.
METHODS: We present a tool which makes use of the fact that overall domain arrangements are often conserved. AIDAN (Automated Improvement of Domain ANnotations) identifies potential annotation artifacts and domains which have drifted apart. The underlying database supplements ProDom and is interfaced by a graphical tool allowing the localization of single domain deletions or annotations which have been falsely made by the automated procedure. AVAILABILITY: http://www.uni-muenster.de/Evolution/ebb/Services/AIDAN. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Mesh:

Substances:

Year:  2007        PMID: 17483506     DOI: 10.1093/bioinformatics/btm240

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


  5 in total

1.  The Crohn's disease susceptibility gene DLG5 as a member of the CARD interaction network.

Authors:  Frauke Friedrichs; Liesbet Henckaerts; Severine Vermeire; Torsten Kucharzik; Tanja Seehafer; Maren Möller-Krull; Erich Bornberg-Bauer; Monika Stoll; January Weiner
Journal:  J Mol Med (Berl)       Date:  2008-03-12       Impact factor: 4.599

2.  Using context to improve protein domain identification.

Authors:  Alejandro Ochoa; Manuel Llinás; Mona Singh
Journal:  BMC Bioinformatics       Date:  2011-03-31       Impact factor: 3.169

3.  Coding potential of the products of alternative splicing in human.

Authors:  Guido Leoni; Loredana Le Pera; Fabrizio Ferrè; Domenico Raimondo; Anna Tramontano
Journal:  Genome Biol       Date:  2011-01-20       Impact factor: 13.583

4.  Domain prediction with probabilistic directional context.

Authors:  Alejandro Ochoa; Mona Singh
Journal:  Bioinformatics       Date:  2017-08-15       Impact factor: 6.937

5.  Protein domain recurrence and order can enhance prediction of protein functions.

Authors:  Mario Abdel Messih; Meghana Chitale; Vladimir B Bajic; Daisuke Kihara; Xin Gao
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

  5 in total

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