Title :
Network integration and graph analysis in mammalian molecular systems biology
Author_Institution :
Dept. of Pharmacology & Syst. Therapeutics, Mount Sinai Sch. of Med., Mount Sinai, NY
fDate :
9/1/2008 12:00:00 AM
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.
Keywords :
cellular biophysics; data mining; drugs; graph theory; medical computing; molecular biophysics; proteins; biomarker discovery; data integration; data mining; data standards; drug-target discovery; graph analysis; intracellular biomolecular interactions; intracellular modules; mammalian molecular systems biology; network analysis tools; network integration;
Journal_Title :
Systems Biology, IET
DOI :
10.1049/iet-syb:20070075