A computational framework for a Lyapunov-enabled analysis of biochemical reaction networks.

ABSTRACT: Complex molecular biological processes such as transcription and translation, signal transduction, post-translational modification cascades, and metabolic pathways can be described in principle by biochemical reactions that explicitly take into account the sophisticated network of chemical interactions regulating cell life. The ability to deduce the possible qualitative behaviors of such networks from a set of reactions is a central objective and an ongoing challenge in the field of systems biology. Unfortunately, the construction of complete mathematical models is often hindered by a pervasive problem: despite the wealth of qualitative graphical knowledge about network interactions, the form of the governing nonlinearities and/or the values of kinetic constants are hard to uncover experim

SUBMITTER: Ali Al-Radhawi M 

PROVIDER: S-EPMC7058358 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature