title: Pathway databases.
abstract: Network representations of biological pathways offer a functional view of molecular biology that is different from and complementary to sequence, expression, and structure databases. There is currently available a wide range of digital collections of pathway data, differing in organisms included, functional area covered (e.g., metabolism vs. signaling), detail of modeling, and support for dynamic pathway construction. While it is currently impossible for these databases to communicate with each other, there are several efforts at standardizing a data exchange language for pathway data. Databases that represent pathway data at the level of individual interactions make it possible to combine data from different predefined pathways and to query by network connectivity. Computable representations of pathways provide a basis for various analyses, including detection of broad network patterns, comparison with mRNA or protein abundance, and simulation.
authors.affiliation: Center for Bioinformatics, National Cancer Institute, National Institutes of Health, 6116 Executive Boulevard, Suite 403, Rockville, MD 20852, USA. schaefec@mail.nih.gov
authors.forename: Carl F
authors.initials: CF
authors.lastname: Schaefer
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D015894:Genome, Human; D006801:Humans; D008954:Models, Biological; D011506:Proteins / Q000235:genetics; D012333:RNA, Messenger / Q000235:genetics
chemical_list: D011506:Proteins; D012333:RNA, Messenger