title: Global analysis of bacterial transcription factors to predict cellular target processes.
abstract: Whole-genome sequences are now available for >100 bacterial species, giving unprecedented power to comparative genomics approaches. We have applied genome-context methods to predict target processes that are regulated by transcription factors (TFs). Of 128 orthologous groups of proteins annotated as TFs, to date, 36 are functionally uncharacterized; in our analysis we predict a probable cellular target process or biochemical pathway for half of these functionally uncharacterized TFs.
authors.affiliation: EMBL, 69117 Heidelberg, Meyerhofstr 1, Germany. doerks@email.de
authors.forename: Tobias
authors.initials: T
authors.lastname: Doerks
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Andrade
authors.forename: Warren
authors.initials: W
authors.lastname: Lathe
authors.forename: Christian
authors.initials: C
authors.lastname: von Mering
authors.forename: Peer
authors.initials: P
authors.lastname: Bork
mesh_terms: D001419:Bacteria / Q000235:genetics* / Q000378:metabolism; D019295:Computational Biology / Q000379:methods; D017124:Conserved Sequence / Q000235:genetics; D019992:Databases as Topic; D023061:Gene Order / Q000235:genetics*; D005798:Genes, Bacterial / Q000235:genetics*; D016680:Genome, Bacterial; D023281:Genomics / Q000379:methods*; D005810:Multigene Family / Q000235:genetics; D010802:Phylogeny; D014157:Transcription Factors / Q000032:analysis*
chemical_list: D014157:Transcription Factors