Functional Classification of Proteins Using a Nearest Neighbour Algorithm

Article type: Research Article

Authors: Keck, Hans-Peter | Wetter, Thomas

Affiliations: LION bioscience AG, Heidelberg, Germany | Universitätsklinikum, Institut für Medizinische Biometrie und Informatik, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany

Note: [] Corresponding author: LION bioscience AG, Waldhofer Str. 98, 69121 Heidelberg, Germany. Tel.: +49 6221 4038113; E-mail: [email protected].

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.

Keywords: protein function, classification, genome analysis, nearest neighbor algorithm, machine learning

Journal: In Silico Biology, vol. 3, no. 3, pp. 265-275, 2003