DocumentCode
3108272
Title
Systems Biology in Drug Discovery
Author
Kunkel, Eric J.
Author_Institution
BioSeek Inc., Burlingame, CA
fYear
2006
fDate
Aug. 30 2006-Sept. 3 2006
Firstpage
37
Lastpage
37
Abstract
Systems biology aims to describe and to understand the operation of complex biological systems with the goal of developing predictive models of human disease. The most powerful systems biology approaches would ideally integrate information from (1) large datasets of gene, protein, and metabolite measurement ("omics" data), (2) complex cell- and tissue-level in vitro models of the disease process, and (3) in silico computer simulations that integrate information flow from the pathway to organism levels. Systems biology provides a framework for understanding biological processes and more rationally identifying points of intervention for therapeutics. While fully integrated models of human disease are still a distant goal, simplified systems biology efforts can (and are beginning to) have an enormous impact on both our understanding of disease and the success of the drug discovery process
Keywords
cancer; cellular biophysics; digital simulation; drugs; medical computing; patient treatment; tumours; complex biological system; complex cell-level model; disease process; drug discovery; gene dataset; human disease; in silico computer simulation; integrative information; metabolite measurement; predictive model; protein dataset; systems biology; therapeutics intervention; tissue-level in vitro model; Biological system modeling; Biological systems; Diseases; Drugs; Fluid flow measurement; Humans; In vitro; Predictive models; Proteins; Systems biology;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location
New York, NY
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.259390
Filename
4461677
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