DocumentCode
951200
Title
Network integration and graph analysis in mammalian molecular systems biology
Author
Ma´ayan, A.
Author_Institution
Dept. of Pharmacology & Syst. Therapeutics, Mount Sinai Sch. of Med., Mount Sinai, NY
Volume
2
Issue
5
fYear
2008
fDate
9/1/2008 12:00:00 AM
Firstpage
206
Lastpage
221
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;
fLanguage
English
Journal_Title
Systems Biology, IET
Publisher
iet
ISSN
1751-8849
Type
jour
DOI
10.1049/iet-syb:20070075
Filename
4648903
Link To Document