The DNA-binding transcription factors (TFs) have a fundamental role to contend with environmental changes in all the organisms. These proteins affect gene expression positively and/or negatively depending on operator context and ligand-binding status. Prediction and characterization of a novel TFs generally involve finding a function for a protein considering a reference dataset (golden standard), which include the information of well-annotated proteins with experimental evidence. Most TFs have been identified and collected from diverse databases, such as uniprot, regulonDB or DBTBS. This database provides a centralized, web-based location to organize information about TFs for which there is strong experimental evidence.

600+ TFs in 50+ genomes

Regulatory proteins were retrieved from Uniprot and other databases and depurated by using experimental evidences from literature. All records were systematically and manually evaluated

Encyclopedia

Prediction of TFs in 5321 genomes

The collection of well-known TFs together PFAM annotations were used to predict TFs in bacterial and archaeal genomes.

Predictions