Global stabilizing control of large-scale biomolecular regulatory networks.

ABSTRACT:

Motivation

Cellular behavior is determined by complex non-linear interactions between numerous intracellular molecules that are often represented by Boolean network models. To achieve a desired cellular behavior with minimal intervention, we need to identify optimal control targets that can drive heterogeneous cellular states to the desired phenotypic cellular state with minimal node intervention. Previous attempts to realize such global stabilization were based solely on either network structure information or simple linear dynamics. Other attempts based on non-linear dynamics are not scalable.

Results

Here, we investigate the underlying relationship between structurally identified control targets and optimal global stabilizing control targets based on non-linear dynamics.

SUBMITTER: An S 

PROVIDER: S-EPMC9891247 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature