title: Genome-wide detection and family clustering of ion channels.
abstract: Ion channels represent an important class of molecules that can be classified into 13 distinct groups. We present a strategy using a "learning set" of well-annotated ion channel sequences to detect homologues in 32 entire genome sequences from Archaea, Bacteria and Eukarya. A total of 299 putative ion channel protein sequences were detected, with significant variations across species. The clustering of these sequences reveals complex relationships between the different ion channel families.
authors.affiliation: Computational Genomics Group, Research Programme, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge CB10 1SD, UK.
authors.forename: Rachel
authors.initials: R
authors.lastname: Harte
authors.forename: Christos A
authors.initials: CA
authors.lastname: Ouzounis
mesh_terms: D019843:Archaeal Proteins / Q000235:genetics; D001426:Bacterial Proteins / Q000235:genetics; D019295:Computational Biology; D005057:Eukaryotic Cells; D016678:Genome; D007473:Ion Channels / Q000145:classification / Q000235:genetics*; D005810:Multigene Family / Q000235:genetics*; D010802:Phylogeny; D015221:Potassium Channels / Q000235:genetics; D017434:Protein Structure, Tertiary / Q000235:genetics; D017386:Sequence Homology, Amino Acid
chemical_list: D019843:Archaeal Proteins; D001426:Bacterial Proteins; D007473:Ion Channels; D015221:Potassium Channels