title: Transferring functional annotations of membrane transporters on the basis of sequence similarity and sequence motifs.
abstract: BACKGROUND
  Membrane transporters catalyze the transport of small solute molecules across biological barriers such as lipid bilayer membranes. Experimental identification of the transported substrates is very tedious. Once a particular transport mechanism has been identified in one organism, it is thus highly desirable to transfer this information to related transporter sequences in different organisms based on bioinformatics evidence.
  
  
  RESULTS
  We present a thorough benchmark at which level of sequence identity membrane transporters from Escherichia coli, Saccharomyces cerevisiae, and Arabidopsis thaliana belong to the same families of the Transporter Classification (TC) system, and at what level these membrane transporters mediate the transport of the same substrate. We found that two membrane transporter sequences from different organisms that are aligned with normalized BLAST expectation value better than E-value 1e-8 are highly likely to belong to the same TC family (F-measure around 90%). Enriched sequence motifs identified by MEME at thresholds below 1e-12 support accurate classification into TC families for about two thirds of the sequences (F-measure 80% and higher). For the comparison of transported substrates, we focused on the four largest substrate classes of amino acids, sugars, metal ions, and phosphate. At similar identity thresholds, the nature of the transported substrates was more divergent (F-measure 40--75% at the same thresholds) than the TC family membership.
  
  
  CONCLUSIONS
  We suggest an acceptable threshold of 1e-8 for BLAST and HMMER where at least three quarters of the sequences are classified according to the TC system with a reasonably high accuracy. Researchers who wish to apply these thresholds in their studies should multiply these thresholds by the size of the database they search against. Our findings should be useful to those who wish to transfer transporter functional annotations across species.
authors.affiliation: Center for Bioinformatics, Saarland University, Postfach 15 11 50, 66041 Saarbrücken, Germany. volkhard.helms@bioinformatik.uni-saarland.de.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Barghash
authors.forename: Volkhard
authors.initials: V
authors.lastname: Helms
mesh_terms: D020816:Amino Acid Motifs / Q000502:physiology*; D000595:Amino Acid Sequence / Q000502:physiology; D017360:Arabidopsis / Q000737:chemistry / Q000235:genetics / Q000502:physiology; D001693:Biological Transport, Active; D004926:Escherichia coli / Q000737:chemistry / Q000235:genetics / Q000502:physiology; D006801:Humans; D026901:Membrane Transport Proteins / Q000737:chemistry* / Q000235:genetics / Q000502:physiology*; D008969:Molecular Sequence Data; D005810:Multigene Family / Q000502:physiology; D040901:Proteomics / Q000379:methods; D012441:Saccharomyces cerevisiae / Q000737:chemistry / Q000235:genetics / Q000502:physiology; D017386:Sequence Homology, Amino Acid
chemical_list: D026901:Membrane Transport Proteins