Joint Realizability of Monotone Boolean functions
Peter Crawford-Kahrl, Bree Cummins, Tomas Gedeon

TL;DR
This paper investigates the conditions under which collections of monotone Boolean functions can be realized as state transition graphs of differential equation models, revealing how algebraic restrictions influence realizability.
Contribution
It establishes a theoretical framework linking ODE models to collections of MBFs and analyzes how algebraic complexity restrictions affect joint realizability.
Findings
The class of jointly realizable MBFs decreases with increased algebraic restrictions.
Explicit examples demonstrate the limits of realizability under different ODE classes.
The results have implications for understanding gene regulation network dynamics.
Abstract
The study of monotone Boolean functions (MBFs) has a long history. We explore a connection between MBFs and ordinary differential equation (ODE) models of gene regulation, and, in particular, a problem of the realization of an MBF as a function describing the state transition graph of an ODE. We formulate a problem of joint realizability of finite collections of MBFs by establishing a connection between the parameterized dynamics of a class of ODEs and a collection of MBFs. We pose a question of what collections of MBFs can be realized by ODEs that belong to nested classes defined by increased algebraic complexity of their right-hand sides. As we progressively restrict the algebraic form of the ODE, we show by a combination of theory and explicit examples that the class of jointly realizable functions strictly decreases. Our results impact the study of regulatory network dynamics, as…
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Taxonomy
TopicsGene Regulatory Network Analysis · Receptor Mechanisms and Signaling · Microbial Metabolic Engineering and Bioproduction
