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PMID: 15706513 Published · ppublish English Journal Article

Systematic DNA-binding domain classification of transcription factors.

Genome informatics. International Conference on Genome Informatics ·Vol. 15 ·No. 2 ·2004-00-00 ·Pages 276-86

Stegmaier P, Kel AE, Wingender E

Abstract

Based on the manual annotation of transcription factors stored in the TRANSFAC database, we developed a library of hidden Markov models (HMM) to represent their DNA-binding domains and used it for a comprehensive classification. The models constructed were applied on the UniProt/Swiss-Prot database, leading to a systematic classification of further DNA-binding protein entries. The HMM library obtained can be used to classify any newly discovered transcription factor according to its DNA-binding domain and, thus, to generate hypotheses about its DNA-binding specificity.

MeSH Terms
Binding Sites Computational Biology DNA-Binding Proteins/chemistry,classification Databases, Factual Databases, Protein Genome Helix-Turn-Helix Motifs Response Elements Sequence Alignment Sequence Analysis, Protein T-Box Domain Proteins Transcription Factors/chemistry,classification
Chemicals
DNA-Binding Proteins T-Box Domain Proteins Transcription Factors
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Stegmaier Philip
BIOBASE GmbH, Halchtersche Str. 33, D-38304 Wolfenbüttel, Germany. [email protected]
Kel Alexander E
Wingender Edgar
Article Info
Journal
Genome informatics. International Conference on Genome Informatics
Abbr.
Genome Inform
ISSN
0919-9454
Published
2004-00-00
Pages
276-86
Language
English
Region
Japan
NLM ID
101280573
Subset
IM
External Links
PubMed source
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