title: Protein function annotation by homology-based inference.
abstract: With many genomes now sequenced, computational annotation methods to characterize genes and proteins from their sequence are increasingly important. The BioSapiens Network has developed tools to address all stages of this process, and here we review progress in the automated prediction of protein function based on protein sequence and structure.
authors.affiliation: Department of Biological Chemistry, The Hebrew University of Jerusalem, Sudarsky Center, Jerusalem 91904, Israel.
authors.forename: Yaniv
authors.initials: Y
authors.lastname: Loewenstein
authors.forename: Domenico
authors.initials: D
authors.lastname: Raimondo
authors.forename: Oliver C
authors.initials: OC
authors.lastname: Redfern
authors.forename: James
authors.initials: J
authors.lastname: Watson
authors.forename: Dmitrij
authors.initials: D
authors.lastname: Frishman
authors.forename: Michal
authors.initials: M
authors.lastname: Linial
authors.forename: Christine
authors.initials: C
authors.lastname: Orengo
authors.forename: Janet
authors.initials: J
authors.lastname: Thornton
authors.forename: Anna
authors.initials: A
authors.lastname: Tramontano
mesh_terms: D019295:Computational Biology / Q000379:methods*; D011506:Proteins / Q000145:classification / Q000502:physiology*; D017386:Sequence Homology, Amino Acid
chemical_list: D011506:Proteins