The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling.

ABSTRACT: The ability to map causal interactions underlying genetic control and cellular signaling has led to increasingly accurate models of the complex biochemical networks that regulate cellular function. These network models provide deep insights into the organization, dynamics, and function of biochemical systems: for example, by revealing genetic control pathways involved in disease. However, the traditional representation of biochemical networks as binary interaction graphs fails to accurately represent an important dynamical feature of these multivariate systems: some pathways propagate control signals much more effectively than do others. Such heterogeneity of interactions reflects canalization-the system is robust to dynamical interventions in redundant pathways but responsive to intervent

SUBMITTER: Gates AJ 

PROVIDER: S-EPMC8000424 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature