Computing weakly reversible realizations of chemical reaction networks

TL;DR

This paper presents an algorithm to compute weakly reversible chemical reaction network realizations that are dynamically equivalent and have the maximum number of reactions, enhancing the understanding of CRN structures.

Contribution

The paper introduces a novel algorithm for finding weakly reversible realizations of CRNs with maximal reactions, advancing network analysis methods.

Findings

Algorithm efficiently computes weakly reversible realizations.

Maximal reaction count realizations are identified.

Enhances structural analysis of chemical reaction networks.

Abstract

An algorithm is given in this paper for the computation of dynamically equivalent weakly reversible realizations with the maximal number of reactions, for chemical reaction networks (CRNs) with mass action kinetics.