Methods are developed for structural analysis of metabolic networksexpanding in size. Expansion proceeds in consecutive generationsin which new reactions are attached to the network produced in theprevious stage. Different rules are applied resulting in various modes of expansion. Expansion is performed on the set of glycolytic reactions as well as on a very large set of reactions taken fromthe KEGG database. It is shown that reactions and compounds strongly differ in the generation in which they are attached to the network allowing conclusions for the temporal order of the acquisition during network evolution. The expansion provides efficient tools for detecting new structural characteristics such as substrate-product relationshipsover long distances.
|Number of pages||11|
|Publication status||Published - 2004|
|Event||4th International Workshop on Bioinformatics and Systems Biology - Kyoto, Japan|
Duration: 31 May 2004 → 3 Jun 2004
- factual databases
- biological models
- nerve net