title: Mining proteases in the genome databases.
abstract: Protease data mining can take advantage both of the many specialist, Web-available databases that cover the genetic, protein and nucleic acid sequence information that is specific to a variety of organisms, and of a flexible, but defined, classification system. However, precomputed data, such as gene predictions, should be used with care. Unless there is definitive supporting information, ideally sequencing of a cDNA to show that the predictions are accurate, followed by expression and biochemical characterization of the predicted protein, the predicted gene and its product remains a possibility, rather than a certainty.
authors.affiliation: School of Biology, University of Leeds, Leeds LS2 9JT, U.K. d.coates@leeds.ac.uk
authors.forename: David
authors.initials: D
authors.lastname: Coates
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods*; D018076:DNA, Complementary / Q000378:metabolism; D019992:Databases as Topic; D010450:Endopeptidases / Q000737:chemistry / Q000235:genetics*; D016678:Genome; D006801:Humans; D013223:Statistics as Topic
chemical_list: D018076:DNA, Complementary; D010450:Endopeptidases