BACK TO INDEX
Publications of Eduardo D. Sontag jointly with A. Dayarian
Articles in journal or book chapters
and A. M. Sengupta.
Shape, Size and Robustness: Feasible Regions in the Parameter Space of Biochemical Networks.
PLoS Computational Biology,
The concept of robustness of regulatory networks has received much attention in the last decade. One measure of robustness has been associated with the volume of the feasible region, namely, the region in the parameter space in which the system is functional. In recent work, we emphasized that topology and geometry matter, as well as volume. In this paper, and using the segment polarity gene network to illustrate our approach, we show that random walks in parameter space and how they exit the feasible region provide a rich perspective on the different modes of failure of a model. In particular, for the segment polarity network, we found that, between two alternative ways of activating Wingless, one is more robust. Our method provides a more complete measure of robustness to parameter variation. As a general modeling strategy, our approach is an interesting alternative to Boolean representation of biochemical networks.
BACK TO INDEX
This material is presented to ensure timely dissemination of
scholarly and technical work. Copyright and all rights therein
are retained by authors or by other copyright holders.
Last modified: Fri Jul 12 13:41:34 2019
This document was translated from BibTEX by