title: Beyond annotation transfer by homology: novel protein-function prediction methods to assist drug discovery.
abstract: Every entirely sequenced genome reveals 100 s to 1000 s of protein sequences for which the only annotation available is 'hypothetical protein'. Thus, in the human genome and in the genomes of pathogenic agents there could be 1000 s of potential, unexplored drug targets. Computational prediction of protein function can play a role in studying these targets. We shall review the challenges, research approaches and recently developed tools in the field of computational function-prediction and we will discuss the ways these issues can change the process of drug discovery.
authors.affiliation: CUBIC, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA. ofran@cubic.bioc.columbia.edu
authors.forename: Yanay
authors.initials: Y
authors.lastname: Ofran
authors.forename: Marco
authors.initials: M
authors.lastname: Punta
authors.forename: Reinhard
authors.initials: R
authors.lastname: Schneider
authors.forename: Burkhard
authors.initials: B
authors.lastname: Rost
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D015195:Drug Design; D019143:Evolution, Molecular; D016678:Genome; D011506:Proteins / Q000502:physiology*; D017385:Sequence Homology
chemical_list: D011506:Proteins