title: Predicting functions from protein sequences--where are the bottlenecks?
abstract: The exponential growth of sequence data does not necessarily lead to an increase in knowledge about the functions of genes and their products. Prediction of function using comparative sequence analysis is extremely powerful but, if not performed appropriately, may also lead to the creation and propagation of assignment errors. While current homology detection methods can cope with the data flow, the identification, verification and annotation of functional features need to be drastically improved.
authors.affiliation: EMBL, Heidelberg, Germany. bork@embl-heidelberg.de
authors.forename: P
authors.initials: P
authors.lastname: Bork
authors.forename: E V
authors.initials: EV
authors.lastname: Koonin
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D019295:Computational Biology / Q000379:methods / Q000592:standards; D016208:Databases, Factual; D006801:Humans; D008969:Molecular Sequence Data; D011506:Proteins / Q000235:genetics* / Q000502:physiology*; D016415:Sequence Alignment / Q000379:methods / Q000592:standards; D017386:Sequence Homology, Amino Acid
chemical_list: D011506:Proteins