title: Function prediction and protein networks.
abstract: In the genomics era, the interactions between proteins are at the center of attention. Genomic-context methods used to predict these interactions have been put on a quantitative basis, revealing that they are at least on an equal footing with genomics experimental data. A survey of experimentally confirmed predictions proves the applicability of these methods, and new concepts to predict protein interactions in eukaryotes have been described. Finally, the interaction networks that can be obtained by combining the predicted pair-wise interactions have enough internal structure to detect higher levels of organization, such as 'functional modules'.
authors.affiliation: Nijmegen Center for Molecular Life Sciences, Center for Molecular and Biomolecular Informatics, Toernooiveld 1, 6525 ED, Nijmegen, The Netherlands. huynen@cmbi.kun.nl
authors.forename: Martijn A
authors.initials: MA
authors.lastname: Huynen
authors.forename: Berend
authors.initials: B
authors.lastname: Snel
authors.forename: Christian
authors.initials: C
authors.lastname: von Mering
authors.forename: Peer
authors.initials: P
authors.lastname: Bork
mesh_terms: D000818:Animals; D019295:Computational Biology / Q000379:methods* / Q000639:trends; D005057:Eukaryotic Cells / Q000378:metabolism*; D019143:Evolution, Molecular; D023281:Genomics / Q000379:methods* / Q000639:trends; D006801:Humans; D008954:Models, Biological; D010802:Phylogeny; D011237:Predictive Value of Tests; D040901:Proteomics / Q000379:methods* / Q000639:trends; D017386:Sequence Homology, Amino Acid; D012689:Sequence Homology, Nucleic Acid