Patric Gustafsson ; Ion Petre - Strong regulatory graphs

fi:11473 - Fundamenta Informaticae, November 10, 2024, Volume 191, Issues 3-4: Iiro Honkala's 60 Birthday
Strong regulatory graphsArticle

Authors: Patric Gustafsson ; Ion Petre

    Logical modeling is a powerful tool in biology, offering a system-level understanding of the complex interactions that govern biological processes. A gap that hinders the scalability of logical models is the need to specify the update function of every vertex in the network depending on the status of its predecessors. To address this, we introduce in this paper the concept of strong regulation, where a vertex is only updated to active/inactive if all its predecessors agree in their influences; otherwise, it is set to ambiguous. We explore the interplay between active, inactive, and ambiguous influences in a network. We discuss the existence of phenotype attractors in such networks, where the status of some of the variables is fixed to active/inactive, while the others can have an arbitrary status, including ambiguous.


    Volume: Volume 191, Issues 3-4: Iiro Honkala's 60 Birthday
    Published on: November 10, 2024
    Accepted on: October 26, 2023
    Submitted on: June 16, 2023
    Keywords: Computer Science - Discrete Mathematics,Quantitative Biology - Molecular Networks,Quantitative Biology - Quantitative Methods

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