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
Link To Document :
بازگشت