title: Prediction and classification of protein functions.
abstract: Data from large-scale genome projects, transcriptomics and proteomics experiments have provided scientists with a wealth of information establishing the basis for the investigation of cellular processes. To understand biological function beyond the single gene by the discovery and characterization of functional protein networks, bioinformatics analysis requires information about two additional attributes associated with the gene products: (i) high-level protein function prediction of experimentally uncharacterized proteins and (ii) systematic classification of protein function. This article describes the basic properties of protein classification systems and discusses examples of their implementation.:
authors: Institute for Bioinformatics (MIPS), GSF National Research Center for Environment and Health, Ingolstaedter Landstraße 1, D-85764 Neuherberg, Germany.
authors: Andreas
authors: A
authors: Ruepp
authors: Technische Universität München, Chair of Genome Oriented Bioinformatics, Center of Life and Food Science, D-85350 Freising-Weihenstephan, Germany. Electronic address:w.mewes@gsf.de.
authors: H Werner
authors: HW
authors: Mewes