Journal
ARTIFICIAL LIFE
Volume 15, Issue 1, Pages 71-88Publisher
MIT PRESS
DOI: 10.1162/artl.2009.15.1.15105
Keywords
Chemical reaction networks; hypergraphs; stoichiometric matrix; flux analysis; generalized topology; closure functions; chemical organization theory; connectedness
Funding
- VW Foundation Grant
- DFG
- BMBF [0312704A]
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Large chemical reaction networks often exhibit distinctive features that can be interpreted as higher-level structures. Prime examples are metabolic pathways in a biochemical context. We review mathematical approaches that exploit the stoichiometric structure, which can be seen as a particular directed hypergraph, to derive an algebraic picture of chemical organizations. We then give an alternative interpretation in terms of set-valued set functions that encapsulate the production rules of the individual reactions. From the mathematical point of view, these functions define generalized topological spaces on the set of chemical species. We show that organization-theoretic concepts also appear in a natural way in the topological language. This abstract representation in turn suggests the exploration of the chemical meaning of well-established topological concepts. As an example, we consider connectedness in some detail.
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