title: Protein function annotation using protein domain family resources.
abstract: As a result of the genome sequencing and structural genomics initiatives, we have a wealth of protein sequence and structural data. However, only about 1% of these proteins have experimental functional annotations. As a result, computational approaches that can predict protein functions are essential in bridging this widening annotation gap. This article reviews the current approaches of protein function prediction using structure and sequence based classification of protein domain family resources with a special focus on functional families in the CATH-Gene3D resource.
authors.affiliation: Institute of Structural and Molecular Biology, UCL, Gower Street, WC1E 6BT, UK.
authors.forename: Sayoni
authors.initials: S
authors.lastname: Das
authors.affiliation: Institute of Structural and Molecular Biology, UCL, Gower Street, WC1E 6BT, UK. Electronic address: c.orengo@ucl.ac.uk.
authors.forename: Christine A
authors.initials: CA
authors.lastname: Orengo
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D006801:Humans; D058977:Molecular Sequence Annotation / Q000379:methods*; D008969:Molecular Sequence Data; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary / Q000235:genetics*; D011506:Proteins / Q000737:chemistry* / Q000235:genetics*
chemical_list: D011506:Proteins
keywords: Moonlighting protein; Protein classification; Protein family; Protein function annotation; Protein function prediction