Year: 2025
Type: article
Abstract: Boolean networks, inspired by gene regulatory networks, were developed to understand the complex behaviors observed in biological systems, with network attractors corresponding to biological phenotypes or cell types. In this article, we present a proof for a conjecture by Williadsen, Triesch and Wiles about upper bounds for the stability of basins of attraction in Boolean networks. We further extend this result from a single basin of attraction to the entire network. Specifically, we demonstrate that the asymptotic upper bound for the robustness and the basin entropy of a Boolean network are negatively linearly related.
Source: Physical review. E
DOI: 10.1103/1862-2fj1
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G1587940115, Multiscale modeling of the battle over iron in invasive lung infection, G4136462846, eMB: Collaborative Research: A mathematical theory for the biological concept of modularity, G5995665166, eMB: Collaborative Research: A mathematical theory for the biological concept of modularity, G9000000203, G9000217588, Mechanistic modeling of the innate immune responses of the human lung to understand the inter-individual heterogeneity of COVID-19 pneumonia
OpenAlex ID: W4414422950
