Efficient reconstruction of metabolic pathways by bidirectional chemical search.

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 Biol

authors

Félix L,Rosselló F,Valiente G

doi

10.1007/s11538-008-9380-8

subject

Has Abstract

pub_date

2009-04-01 00:00:00

pages

750-69

issue

3

eissn

0092-8240

issn

1522-9602

journal_volume

71

pub_type

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