Automatic qualitative analysis of dynamic systems using piecewise linear approximations
Artificial Intelligence
Artificial Intelligence - Special issue: AI research in Japan
Biocomputation: modeling and analyzing biomolecular networks
Computing in Science and Engineering
Series of Abstractions for Hybrid Automata
HSCC '02 Proceedings of the 5th International Workshop on Hybrid Systems: Computation and Control
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Hi-index | 0.00 |
Nonlinearities and the lack of accurate quantitative information considerably hamper modeling and system analysis of biochemical networks. Here we propose a procedure for qualitative mathematical analysis of piecewise-affine (PWA) approximations of these networks. First the biochemical model size was reduced with quasi-steady state approaches by taking a priori information into account. Second, a conversion of a nonlinear model into a PWA approximation and subsequent qualitative analysis of this model was performed. This resulted in different sets of transition graphs that depend on the parameter values, which enables reduction of the parameter search space.