Computational analysis demonstrates interactive analysis of catalytic reaction networks in biochemical systems, highlighting tools for computing self-sustaining autocatalytic subnetworks.
Catalytic reaction networks serve as fundamental models for understanding biochemical systems. CatReNet is a novel software designed to facilitate interactive analysis of such networks. It offers fast and exact algorithms for computing various types of self-sustaining autocatalytic subnetworks, including so-called CAFs (constructively autocatalytic food-generated networks), RAFs (reflexively autocatalytic food-generated networks), and pseudo-RAFs. It provides dynamic visualizations to aid exploration and understanding.
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Huson et al. (2024) studied this question.
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