Global stabilization of Boolean networks with applications to biomolecular network control.

ABSTRACT: Boolean networks (BNs) are vital modeling tools in systems biology for biomolecular regulatory networks. After a transient phase, BNs converge to attractors that represent distinct cell types or conditions. Therefore, methods to control the long-term behavior of BNs have important implications for biological and genetic applications. In this paper, we propose a method to enforce convergence of a BN to a desired attractor from any initial state through a simple intervention: fixing a specific subset of network variables at definite values. We refer to this method as the global stabilization of a BN to a target attractor. Utilizing the algebraic state space representation of BNs, we introduce novel matrix tools to formulate this intervention method, as well as develop a foundation for analyz

SUBMITTER: Rafimanzelat MR 

PROVIDER: S-EPMC12043903 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature