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 :
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