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Optimal metabolic route search based on atom mappings
Author(s) -
Mario Latendresse,
Markus Krummenacker,
Peter D. Karp
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu150
Subject(s) - computer science , atom (system on chip) , algorithm , programming language , parallel computing
A key computational problem in metabolic engineering is finding efficient metabolic routes from a source to a target compound in genome-scale reaction networks, potentially considering the addition of new reactions. Efficiency can be based on many factors, such as route lengths, atoms conserved and the number of new reactions, and the new enzymes to catalyze them, added to the route. Fast algorithms are needed to systematically search these large genome-scale reaction networks.

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