title: PATBox: A Toolbox for Classification and Analysis of P-Type ATPases.
abstract: P-Type ATPases are part of the regulatory system of the cell where they are responsible for transporting ions and lipids through the cell membrane. These pumps are found in all eukaryotes and their malfunction has been found to cause several severe diseases. Knowing which substrate is pumped by a certain P-Type ATPase is therefore vital. The P-Type ATPases can be divided into 11 subtypes based on their specificity, that is, the substrate that they pump. Determining the subtype experimentally is time-consuming. Thus it is of great interest to be able to accurately predict the subtype based on the amino acid sequence only. We present an approach to P-Type ATPase sequence classification based on the k-nearest neighbors, similar to a homology search, and show that this method provides performs very well and, to the best of our knowledge, better than any existing method despite its simplicity. The classifier is made available as a web service at http://services.birc.au.dk/patbox/ which also provides access to a database of potential P-Type ATPases and their predicted subtypes.
authors.affiliation: Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark; Centre for Membrane Pumps in Cells and Disease, Aarhus University, Aarhus, Denmark.
authors.forename: Dan
authors.initials: D
authors.lastname: Søndergaard
authors.affiliation: Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark.
authors.forename: Christian Nørgaard Storm
authors.initials: CN
authors.lastname: Pedersen
mesh_terms: D000251:Adenosine Triphosphatases / Q000737:chemistry / Q000145:classification / Q000235:genetics*; D000818:Animals; D019295:Computational Biology; D006801:Humans; D017386:Sequence Homology, Amino Acid; D012984:Software
chemical_list: D000251:Adenosine Triphosphatases