A Topological Approach to Chemical Organizations

Author:

Benkö Gil12,Centler Florian3,Dittrich Peter3,Flamm Christoph24,Stadler Bärbel M. R.5,Stadler Peter F.246

Affiliation:

1. Contact author.

2. Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstraße 16-18, D-04107 Leipzig, Germany.(G.B.); (C.F.); (P.F.S.)

3. Bio Systems Analysis Group, Jena Center for Bioinformatics and Department of Mathematics and Computer Science, Friedrich Schiller University Jena, D-07743 Jena, Germany.(P.D.)

4. Department of Theoretical Chemistry, University of Vienna, Währingerstraße 17, A-1090 Wien, Austria.(C.F.); (P.F.S.)

5. Max Planck Institute for Mathematics in the Sciences, Inselstrasse 22, D-04103, Leipzig, Germany.

6. The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501.

Abstract

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.

Publisher

MIT Press - Journals

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

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