Abstract:
:One of the main challenges in systems biology is the establishment of the metabolome: a catalogue of the metabolites and biochemical reactions present in a specific organism. Current knowledge of biochemical pathways as stored in public databases such as KEGG, is based on carefully curated genomic evidence for the presence of specific metabolites and enzymes that activate particular biochemical reactions. In this paper, we present an efficient method to build a substantial portion of the artificial chemistry defined by the metabolites and biochemical reactions in a given metabolic pathway, which is based on bidirectional chemical search. Computational results on the pathways stored in KEGG reveal novel biochemical pathways.
journal_name
Bull Math Bioljournal_title
Bulletin of mathematical biologyauthors
Félix L,Rosselló F,Valiente Gdoi
10.1007/s11538-008-9380-8subject
Has Abstractpub_date
2009-04-01 00:00:00pages
750-69issue
3eissn
0092-8240issn
1522-9602journal_volume
71pub_type
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