Graphical Conditions for Rate Independence in Chemical Reaction Networks
Elisabeth Degrand (Lifeware), Fran\c{c}ois Fages (Lifeware), Sylvain, Soliman (Lifeware)

TL;DR
This paper establishes graphical Petri net conditions to identify rate-independent chemical reaction networks, which are robust and compute piecewise linear functions, and applies these conditions to models in the Biomodels repository.
Contribution
It introduces novel graphical Petri net conditions to determine rate-independence in CRNs, enabling easier analysis of their robustness and computational properties.
Findings
Identified 2 models satisfying rate-independence for all species.
Found 94 models with rate-independence for some output species.
Developed efficient constraint programming methods for Petri net analysis.
Abstract
Chemical Reaction Networks (CRNs) provide a useful abstraction of molecular interaction networks in which molecular structures as well as mass conservation principles are abstracted away to focus on the main dynamical properties of the network structure. In their interpretation by ordinary differential equations, we say that a CRN with distinguished input and output species computes a positive real function \rightarrow, if for any initial concentration x of the input species, the concentration of the output molecular species stabilizes at concentration f (x). The Turing-completeness of that notion of chemical analog computation has been established by proving that any computable real function can be computed by a CRN over a finite set of molecular species. Rate-independent CRNs form a restricted class of CRNs of high practical value since they enjoy a form of absolute…
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Taxonomy
TopicsGene Regulatory Network Analysis · Microbial Metabolic Engineering and Bioproduction · Computational Drug Discovery Methods
