title: Functional classification of proteins using a nearest neighbour algorithm.
abstract: With the large volume of genomic data being analysed nowadays it becomes extremely important to provide automated ways of protein classification to give the scientist a good overview of the analysed data. The system described here is very flexible and can be used with any given protein classification scheme. Before using the system, it has to be trained with a set of already classified proteins. Afterwards, other proteins can be classified by the system automatically. Several tests have been performed to assess the quality of this classification; they have shown the usefulness of the system. The system will be available as part of a commercial software package.
authors.affiliation: LION bioscience AG, Heidelberg, Germany. hans.peter.keck@lionbioscience.com
authors.forename: Hans-Peter
authors.initials: HP
authors.lastname: Keck
authors.forename: Thomas
authors.initials: T
authors.lastname: Wetter
mesh_terms: D000465:Algorithms; D030562:Databases, Protein; D011381:Programming Languages; D011506:Proteins / Q000145:classification*; D020539:Sequence Analysis, Protein; D012985:Software Design
chemical_list: D011506:Proteins