Memory functions reveal structural properties of gene regulatory networks.

ABSTRACT: Gene regulatory networks (GRNs) control cellular function and decision making during tissue development and homeostasis. Mathematical tools based on dynamical systems theory are often used to model these networks, but the size and complexity of these models mean that their behaviour is not always intuitive and the underlying mechanisms can be difficult to decipher. For this reason, methods that simplify and aid exploration of complex networks are necessary. To this end we develop a broadly applicable form of the Zwanzig-Mori projection. By first converting a thermodynamic state ensemble model of gene regulation into mass action reactions we derive a general method that produces a set of time evolution equations for a subset of components of a network. The influence of the rest of the netwo

SUBMITTER: Herrera-Delgado E 

PROVIDER: S-EPMC5839594 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature