Protein Info for CCNA_00750 in Caulobacter crescentus NA1000

Annotation: FeaR-family transcriptional regulator

These analyses and tools can help you predict a protein's function, but be skeptical. For enzymes, over 10% of annotations from KEGG or SEED are probably incorrect. For other types of proteins, the error rates may be much higher. MetaCyc and Swiss-Prot have low error rates, but the best hits in these databases are often quite distant, so this protein's function may not be the same. TIGRFam has low error rates. Finally, many experimentally-characterized proteins are not in any of these databases. To find relevant papers, use PaperBLAST.

Protein Families and Features

1 50 100 150 200 250 300 342 PF14525: AraC_binding_2" amino acids 23 to 196 (174 residues), 81.1 bits, see alignment E=1.3e-26 PF12833: HTH_18" amino acids 238 to 315 (78 residues), 51.5 bits, see alignment E=1.5e-17 PF00165: HTH_AraC" amino acids 278 to 315 (38 residues), 29 bits, see alignment 1.3e-10

Best Hits

KEGG orthology group: None (inferred from 67% identity to cse:Cseg_3669)

Predicted SEED Role

"FIG00481866: hypothetical protein"

Sequence Analysis Tools

PaperBLAST (search for papers about homologs of this protein)

Search CDD (the Conserved Domains Database, which includes COG and superfam)

Search structures

Predict protein localization: PSORTb (Gram-negative bacteria)

Predict transmembrane helices and signal peptides: Phobius

Check the current SEED with FIGfam search

Find homologs in fast.genomics or the ENIGMA genome browser

See A0A0H3C670 at UniProt or InterPro

Protein Sequence (342 amino acids)

>CCNA_00750 FeaR-family transcriptional regulator (Caulobacter crescentus NA1000)
MDAETPPRDLWILDAREQADAAERYRQACAQLFDVTLLEPDTAFHNRMDGYNLGGVVLAR
CKGVPQRFDRRYAHIIADTADSVLAVLELSSGGWSGIYDGRPADSGMGAIRLVDMSRPFD
MTTAAFETLNLAIPRATLDEQVDHIDFHGRVVSENTATGRILGAHMRAVWDSIETITTAE
AALAAKAAATLFSAAILAHGEVAGADARPIEKMLLASARDFVIGRLADPELSPEAVRQHL
GVSRSLLYRVFEPAGGVSAFIQARRLDQAFDEIIRDQSERKTLAEIGYGLGFRSDAHFSR
VFRARFGVTPGRLRRLGASARQEGLSALERPDDVFVWIGSLL