TranScout: Prediction of gene expression regulatory proteins from their sequences

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

Research output: Contribution to journalArticleResearchpeer-review

9 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)597-607
JournalBioinformatics
Volume18
Issue number4
DOIs
Publication statusPublished - 1 Jan 2002

Fingerprint Dive into the research topics of 'TranScout: Prediction of gene expression regulatory proteins from their sequences'. Together they form a unique fingerprint.

Cite this