A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks
Metabolism underpins the pathogenic strategy of the causative agent of TB, Mycobacterium tuberculosis (Mtb), and therefore metabolic pathways have recently re-emerged as attractive drug targets. A powerful approach to study Mtb metabolism as a whole, rather than just individual enzymatic components,...
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| Veröffentlicht in: | PLoS computational biology 2020-06, Vol.16 (6), p.e1007533 |
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| creator | López-Agudelo, Víctor A Mendum, Tom A Laing, Emma Wu, HuiHai Baena, Andres Barrera, Luis F Beste, Dany J V Rios-Estepa, Rigoberto |
| description | Metabolism underpins the pathogenic strategy of the causative agent of TB, Mycobacterium tuberculosis (Mtb), and therefore metabolic pathways have recently re-emerged as attractive drug targets. A powerful approach to study Mtb metabolism as a whole, rather than just individual enzymatic components, is to use a systems biology framework, such as a Genome-Scale Metabolic Network (GSMN) that allows the dynamic interactions of all the components of metabolism to be interrogated together. Several GSMNs networks have been constructed for Mtb and used to study the complex relationship between the Mtb genotype and its phenotype. However, the utility of this approach is hampered by the existence of multiple models, each with varying properties and performances. Here we systematically evaluate eight recently published metabolic models of Mtb-H37Rv to facilitate model choice. The best performing models, sMtb2018 and iEK1011, were refined and improved for use in future studies by the TB research community. |
| doi_str_mv | 10.1371/journal.pcbi.1007533 |
| format | Article |
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| subjects | Accuracy Bayes Theorem Biology and Life Sciences Biomass Biosynthesis Carbon Carbon - metabolism Cholesterol Cholesterol - metabolism Computer and Information Sciences Culture Media False Positive Reactions Fatty acids Genes Genetic aspects Genome, Bacterial Genomes Genomics Genotype Genotypes Glycerol - metabolism Lipids Medicine and Health Sciences Metabolic networks Metabolic Networks and Pathways Metabolic pathways Metabolism Metabolites Methods Microbial metabolism Models, Biological Mycobacterium tuberculosis Mycobacterium tuberculosis - genetics Mycobacterium tuberculosis - metabolism Nitrogen Pathogens Phenotype Phenotypes Predictive Value of Tests Research and Analysis Methods Software Software upgrading Systems Biology Therapeutic targets Thermodynamics Tuberculosis Virulence |
| title | A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks |
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