title: Network integration and graph analysis in mammalian molecular systems biology.
abstract: Abstraction of intracellular biomolecular interactions into networks is useful for data integration and graph analysis. Network analysis tools facilitate predictions of novel functions for proteins, prediction of functional interactions and identification of intracellular modules. These efforts are linked with drug and phenotype data to accelerate drug-target and biomarker discovery. This review highlights the currently available varieties of mammalian biomolecular networks, and surveys methods and tools to construct, compare, integrate, visualise and analyse such networks.
authors.affiliation: Mount Sinai School of Medicine, Department of Pharmacology and Systems Therapeutics, New York, NY 10029-6574, USA. avi.maayan@mssm.edu
authors.forename: A
authors.initials: A
authors.lastname: Ma'ayan
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D030562:Databases, Protein; D006801:Humans; D008322:Mammals; D008954:Models, Biological; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000737:chemistry* / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D013329:Structure-Activity Relationship; D049490:Systems Biology / Q000379:methods*; D018511:Systems Integration
chemical_list: D020543:Proteome