DocumentCode :
2652269
Title :
The Logic of Hypothesis Generation in Kinetic Modeling of System Biology
Author :
Doncescu, Andrei ; Siegel, Pierre
Author_Institution :
Lab. d´´Anal. et d´´Archit. des Syst. (LAAS), Toulouse, France
fYear :
2011
fDate :
7-9 Nov. 2011
Firstpage :
927
Lastpage :
929
Abstract :
In the past decades a lot of researches have been conducted to investigate pathways in order to increase the understanding of the mechanisms responsible for diseases and thus to find new treatments. One strategy to achieve this goal would be to inhibit or to trigger a part of the pathway that produces the disease. A strategy would be to first identify the pathway whose activity contributes to the disease and then look for drugs that inhibit or trigger the pathway acting on its internal components and reactions.
Keywords :
artificial life; diseases; hypothesis generation logic; kinetic modeling; pathway identification; system biology; Biological system modeling; Biological systems; Cognition; Computational modeling; Conferences; Mathematical model; logic of hypothesis; logical model; nonmonotonic logic; system biology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location :
Boca Raton, FL
ISSN :
1082-3409
Print_ISBN :
978-1-4577-2068-0
Electronic_ISBN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2011.158
Filename :
6103449
Link To Document :
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