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=Modeling Genetic Regulatory Networks from specified behaviors= | =Modeling Genetic Regulatory Networks from specified behaviors= | ||
'''Author(s): '''[[ | '''Author(s): '''[[User:Danielmateus|Daniel Mateus]]<br> | ||
'''Affiliations:''' CEA/LIST Saclay, France<br> | '''Affiliations:''' CEA/LIST Saclay, France<br> | ||
'''Contact:'''email: daniel.mateus at cea.fr<br> | '''Contact:'''email: daniel.mateus at cea.fr<br> | ||
Revision as of 11:49, 15 September 2006
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Modeling Genetic Regulatory Networks from specified behaviors
Author(s): Daniel Mateus
Affiliations: CEA/LIST Saclay, France
Contact:email: daniel.mateus at cea.fr
Keywords: 'keyword_1' 'keyword_2' 'keyword_3' 'keyword_4'
Background/Introduction
Tools for modeling and simulation are needed to understand the functioning of genetic regulatory networks. The difficulty of determining the parameters of the models motivates the use of automatic methods able to find the parameters of the models whose dynamics match the behavior of the actual system. We propose a method applied on the qualitative modeling approach developed by R. Thomas. The logical parameters of the model, which are related to the kinetic parameters of a differential description, can be unknown. Translating the model into a symbolic transition system, and the known behaviors into temporal logic formulas, the method gives the constraints on the logical parameters corresponding to all the models having the specified behavior.
Results
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Materials/Methods
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Conclusion
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References
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