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Double and multiple knockout simulations for genome-scale metabolic network reconstructions

BACKGROUND: Constraint-based modeling of genome-scale metabolic network reconstructions has become a widely used approach in computational biology. Flux coupling analysis is a constraint-based method that analyses the impact of single reaction knockouts on other reactions in the network. RESULTS: We...

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Detalles Bibliográficos
Autores principales: Goldstein, Yaron AB, Bockmayr, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4302510/
https://www.ncbi.nlm.nih.gov/pubmed/25649004
http://dx.doi.org/10.1186/s13015-014-0028-y
Descripción
Sumario:BACKGROUND: Constraint-based modeling of genome-scale metabolic network reconstructions has become a widely used approach in computational biology. Flux coupling analysis is a constraint-based method that analyses the impact of single reaction knockouts on other reactions in the network. RESULTS: We present an extension of flux coupling analysis for double and multiple gene or reaction knockouts, and develop corresponding algorithms for an in silico simulation. To evaluate our method, we perform a full single and double knockout analysis on a selection of genome-scale metabolic network reconstructions and compare the results. SOFTWARE: A prototype implementation of double knockout simulation is available at http://hoverboard.io/L4FC.