ArticlePLoS computational biology2020
A systematic evaluation of Mycobacterium tuberculosis Genome-Scale Metabolic Networks.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis reveals a core iron-responsive gene signature in Mycobacterium tuberculosis linking siderophore biosynthesis, virulence, and metabolic adaptation.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Pooled it
- A Multi-Scale Computational Framework for Anti-Persister Tuberculosis Drug Discovery.Chemical biology & drug design · 2026Review
- WASP: a pipeline for functional annotation prediction based on AlphaFold structural models.Nature communications · 2026Article
- High-throughput generation and comparison of genome-scale metabolic models reveal strain-specific metabolic diversity in 439mSystems · 2026Article
- Sec and Tat Mediated Secretion Safeguards Mycobacterium tuberculosis Membrane Homeostasis.Molecular & cellular proteomics : MCP · 2026Article
- ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions.iScience · 2025Article
- Differential producibility analysis reveals drug-associated carbon and nitrogen metabolite expressions in Mycobacterium tuberculosis.The Journal of biological chemistry · 2025Article
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- Metabolic model guided CRISPRi identifies a central role for phosphoglycerate mutase inmSystems · 2024Article
- One-shotMolecular systems biology · 2023Article
- In Silico Exploration ofBiomolecules · 2022Article
- Dual RNA Sequencing ofInternational journal of molecular sciences · 2022Article
- Emerging advances in identifying signal transmission molecules involved in the interaction betweenFrontiers in cellular and infection microbiology · 2022Review
- TCA Cycle and Its Relationship with Clavulanic Acid Production: A Further Interpretation by Using a Reduced Genome-Scale Metabolic Model ofBioengineering (Basel, Switzerland) · 2021Article
- Metabolic fluxes for nutritional flexibility of Mycobacterium tuberculosis.Molecular systems biology · 2021Article
- Dissecting Host-Pathogen Interactions in TB Using Systems-Based Omic Approaches.Frontiers in immunology · 2021Review
- Metabolic Modeling to Interrogate Microbial Disease: A Tale for Experimentalists.Frontiers in molecular biosciences · 2021Review
- A Genome-Scale Metabolic Model of 2,3-Butanediol Production by Thermophilic BacteriaMicroorganisms · 2020Article
- Genome-Scale Metabolic Modeling for Unraveling Molecular Mechanisms of High Threat Pathogens.Frontiers in cell and developmental biology · 2020Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.