title: Modularity in the gain and loss of genes: applications for function prediction.
abstract: Genes that are clustered on multiple genomes and are likely to functionally interact tend to be gained or lost together during genome evolution. Here, we demonstrate that exceptions to this pattern indicate relatively distant functional interactions between the encoded proteins. Hence, this can be used to divide predicted clusters of functionally interacting proteins into sub-clusters, and as such, to refine the prediction of their function and functional interactions.
authors.affiliation: Biocomputing Unit, European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117, Heidelberg, Germany. Thijs.Ettema@algemeen.micr.wau.nl
authors.forename: T
authors.initials: T
authors.lastname: Ettema
authors.forename: J
authors.initials: J
authors.lastname: van der Oost
authors.forename: M
authors.initials: M
authors.lastname: Huynen
mesh_terms: D001426:Bacterial Proteins / Q000737:chemistry / Q000235:genetics* / Q000378:metabolism*; D001692:Biological Transport; D016208:Databases, Factual; D019143:Evolution, Molecular; D017353:Gene Deletion; D005798:Genes, Bacterial; D020745:Genome, Archaeal; D023281:Genomics; D005810:Multigene Family; D010802:Phylogeny; D011237:Predictive Value of Tests; D011506:Proteins / Q000235:genetics* / Q000378:metabolism*; D019711:Pyrococcus / Q000235:genetics*; D017384:Sequence Deletion
chemical_list: D001426:Bacterial Proteins; D011506:Proteins