Protein Info for PS417_03875 in Pseudomonas simiae WCS417

Annotation: membrane 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 50 100 150 200 229 signal peptide" amino acids 1 to 27 (27 residues), see Phobius details transmembrane" amino acids 42 to 58 (17 residues), see Phobius details amino acids 70 to 92 (23 residues), see Phobius details amino acids 105 to 129 (25 residues), see Phobius details amino acids 138 to 166 (29 residues), see Phobius details amino acids 182 to 206 (25 residues), see Phobius details PF01891: CbiM" amino acids 2 to 208 (207 residues), 60.7 bits, see alignment E=8.9e-21

Best Hits

KEGG orthology group: None (inferred from 94% identity to pfs:PFLU0786)

Predicted SEED Role

"FIG028593: membrane 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 U1TIZ3 at UniProt or InterPro

Protein Sequence (229 amino acids)

>PS417_03875 membrane protein (Pseudomonas simiae WCS417)
MISAAVLAPATLGAGWLLYVPLVVWAILRSPWVELFADRRRQHLLFGTVFALFMLWLVRR
DFDTGVSYHFIGMTAVTLLLDWPLAIVGGFAAQLGLMALGRQDLAALGVNGLLLIGLPVL
VTEACALLVERAQPRNPFVYIFCSGFFAAALSALLCLVLGLGLLWFDGRFALPEWLEDFV
GYLWLIIFPEAFINGMVVSALVVFCPEWLETFNRTRYLSAPWKDDDSQR