Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2010-05-12
Biology
Quantitative Biology
Quantitative Methods
Scientific paper
Investigating the relation between the structure and behavior of complex biological networks often involves posing the following two questions: Is a hypothesized structure of a regulatory network consistent with the observed behavior? And can a proposed structure generate a desired behavior? Answering these questions presupposes that we are able to test the compatibility of network structure and behavior. We cast these questions into a parameter search problem for qualitative models of regulatory networks, in particular piecewise-affine differential equation models. We develop a method based on symbolic model checking that avoids enumerating all possible parametrizations, and show that this method performs well on real biological problems, using the IRMA synthetic network and benchmark experimental data sets. We test the consistency between the IRMA network structure and the time-series data, and search for parameter modifications that would improve the robustness of the external control of the system behavior.
Batt Grégory
Cantone Irene
Goessler Gregor
Jong Hidde de
Monteiro Pedro T.
No associations
LandOfFree
Efficient parameter search for qualitative models of regulatory networks using symbolic model checking does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Efficient parameter search for qualitative models of regulatory networks using symbolic model checking, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Efficient parameter search for qualitative models of regulatory networks using symbolic model checking will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-499818