Literature DB >> 12016057

TranScout: prediction of gene expression regulatory proteins from their sequences.

Daniel Aguilar1, Baldomero Oliva, Francesc X Aviles, Enrique Querol.   

Abstract

MOTIVATION: The advent of genomics yields thousands of reading frames in search of function. Identification of conserved functional motifs in protein sequences can be helpful for function prediction.
RESULTS: A database and a classification of reported DNA-binding protein motifs has been designed. A program ('TranScout') has been developed for the detection and evaluation of conserved motifs in prokaryotic and eukaryotic sequences of proteins with a gene regulatory function. The efficiency of the program is shown in a benchmark against a database obtained from SWISS-PROT without the protein sequences used to train the program. All motifs were detected with a mean average sensitivity of 0.98 and a mean average specificity of 0.92. AVAILABILITY: The program is freely available for use on the internet at http://luz.uab.es/transcout/. The user can find additional information at this site.

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Year:  2002        PMID: 12016057     DOI: 10.1093/bioinformatics/18.4.597

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


  3 in total

1.  TrSDB: a proteome database of transcription factors.

Authors:  Antoni Hermoso; Daniel Aguilar; Francesc X Aviles; Enrique Querol
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

2.  Iterative reconstruction of transcriptional regulatory networks: an algorithmic approach.

Authors:  Christian L Barrett; Bernhard O Palsson
Journal:  PLoS Comput Biol       Date:  2006-05-19       Impact factor: 4.475

3.  Prediction of functional class of proteins and peptides irrespective of sequence homology by support vector machines.

Authors:  Zhi Qun Tang; Hong Huang Lin; Hai Lei Zhang; Lian Yi Han; Xin Chen; Yu Zong Chen
Journal:  Bioinform Biol Insights       Date:  2009-11-24
  3 in total

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