Protein Info for MPMX19_01197 in Azospirillum sp. SherDot2

Annotation: ECF RNA polymerase sigma factor EcfG

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 50 100 157 TIGR02937: RNA polymerase sigma factor, sigma-70 family" amino acids 10 to 153 (144 residues), 76.6 bits, see alignment E=8.5e-26 PF04542: Sigma70_r2" amino acids 12 to 73 (62 residues), 40.3 bits, see alignment E=4.5e-14 PF07638: Sigma70_ECF" amino acids 95 to 153 (59 residues), 25.3 bits, see alignment E=2.6e-09 PF08281: Sigma70_r4_2" amino acids 99 to 151 (53 residues), 57.1 bits, see alignment E=2.3e-19 PF04545: Sigma70_r4" amino acids 104 to 151 (48 residues), 43.7 bits, see alignment E=3.1e-15

Best Hits

KEGG orthology group: None (inferred from 98% identity to azl:AZL_014190)

Predicted SEED Role

"RNA polymerase sigma-E factor"

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

Find the best match in UniProt

Protein Sequence (157 amino acids)

>MPMX19_01197 ECF RNA polymerase sigma factor EcfG (Azospirillum sp. SherDot2)
MAYSFENELIRCMPNLQRYACKLTRDANAAEDLLQDCLARALSRQHRFEPGTNMQAWLTT
MLKNLHFNNLQRDRHVTKVELWDGAMSVDAAQMSRLVFRDVDRAFSSLTPSQRKVVKLVA
IEGRPYQEAAETLNVSIGTIRSRLCRARERLNNLMAA