gMCS: fast computation of genetic minimal cut sets in large networks.
basic_science · Level V
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- Record sourced from PubMed, PMID 30052768.
- Also identified by DOI 10.1093/bioinformatics/bty656.
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Abstract
The identification of minimal gene knockout strategies to engineer metabolic systems constitutes one of the most relevant applications of the COnstraint-Based Reconstruction and Analysis (COBRA) framework. In the last years, the minimal cut sets (MCSs) approach has emerged as a promising tool to carry out this task. However, MCSs define reaction knockout strategies, which are not necessarily transformed into feasible strategies at the gene level. We present a more general, easy-to-use and efficient computational implementation of a previously published algorithm to calculate MCSs to the gene level (gMCSs). Our tool was compared with existing methods in order to calculate essential genes and synthetic lethals in metabolic networks of different complexity, showing a significant reduction in model size and computation time. gMCS is publicly and freely available under GNU license in the COBRA toolbox (https://github.com/opencobra/cobratoolbox/tree/master/src/analysis/gMCS). Supplementary data are available at Bioinformatics online.
Medical subject headings
- Algorithms
- Computational Biology
- Metabolic Networks and Pathways