Protein Info for Psest_4003 in Pseudomonas stutzeri RCH2

Annotation: TIGR00153 family protein

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 50 100 150 200 225 TIGR00153: TIGR00153 family protein" amino acids 8 to 224 (217 residues), 185.8 bits, see alignment E=4.5e-59 PF01865: PhoU_div" amino acids 8 to 224 (217 residues), 210.1 bits, see alignment E=1.3e-66

Best Hits

Swiss-Prot: 49% identical to Y1603_HAEIN: UPF0111 protein HI_1603 (HI_1603) from Haemophilus influenzae (strain ATCC 51907 / DSM 11121 / KW20 / Rd)

KEGG orthology group: K07220, hypothetical protein (inferred from 98% identity to psa:PST_0272)

Predicted SEED Role

"Phosphate transport regulator (distant homolog of PhoU)" in subsystem Phosphate metabolism

Sequence Analysis Tools

PaperBLAST (search for papers about homologs of this protein)

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

Compare to protein 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 L0GRS1 at UniProt or InterPro

Protein Sequence (225 amino acids)

>Psest_4003 TIGR00153 family protein (Pseudomonas stutzeri RCH2)
MPVNPFVSLFGRSPIGPMQQHMAKSHECAANLVPLFQAVMAEDWEKVEQIQQQMAQLENE
ADKLKKSVRQHLPKSLFLPVPRSDLLDLLSVQDKIANRAKDIAGLMLGRCMTIPQPLQPQ
MLAYVQRTVDASAQALKALKELDSLLETGFSGREATLVEKMVEELEEIERETDRMQITVR
RALFNLEKDLPAVDVIFLYKIIEWIGDVADRAERVGNRLEQLLAR