ReviewApplied microbiology and biotechnology2022
Genome-scale metabolic network models: from first-generation to next-generation.
Review in Applied microbiology and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
22 citing papers in PubMed.
- Metabolic flux analysis revealed key roles of ArcB in ADI pathway and IlvC in BCAA biosynthesis duringVirulence · 2026Article
- Thermo-flux: generation and analysis of thermodynamic-stoichiometric metabolic network models.Molecular systems biology · 2026Article
- Applications of Metabolomics in the Development of Biomedicine and Biotechnology.Advances in experimental medicine and biology · 2026Review
- Mechanistic insights into sodium citrate-induced metabolic rewiring for enhanced S-adenosylmethionine synthesis via transcriptomics and constraint-based modeling.Bioprocess and biosystems engineering · 2026Article
- Development and application of synthetic biology tools for improved production of human breast milk components.Synthetic and systems biotechnology · 2025Review
- Screening of Potential Drug Targets Based on the Genome-Scale Metabolic Network Model ofCurrent issues in molecular biology · 2025Article
- Metabolism-associated protein network constructing and host-directed anti-influenza drug repurposing.Briefings in bioinformatics · 2025Article
- Heterologous Biosynthesis of Taxifolin in Yarrowia lipolytica: Metabolic Engineering and Genome-Scale Metabolic Modeling.Applied biochemistry and biotechnology · 2025Article
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- Metabolic Flux Analysis ofInternational journal of molecular sciences · 2024Article
- Application of Cyanobacteria as Chassis Cells in Synthetic Biology.Microorganisms · 2024Review
- Current Advances in the Functional Genes of Edible and Medicinal Fungi: Research Techniques, Functional Analysis, and Prospects.Journal of fungi (Basel, Switzerland) · 2024Review
- Strategies for tailoring functional microbial synthetic communities.The ISME journal · 2024Review
- Reconstruction of the genome-scale metabolic network model ofFrontiers in bioengineering and biotechnology · 2024Article
- State-of the-Art Constraint-Based Modeling of Microbial Metabolism: From Basics to Context-Specific Models with a Focus on Methanotrophs.Microorganisms · 2023Review
- Practical sampling of constraint-based models: Optimized thinning boosts CHRR performance.PLoS computational biology · 2023Article
- A Protocol for the Automatic Construction of Highly Curated Genome-Scale Models of Human Metabolism.Bioengineering (Basel, Switzerland) · 2023Article
- A novel strategy for dynamic modeling of genome-scale interaction networks.Bioinformatics (Oxford, England) · 2023Article
- Context-Specific Genome-Scale Metabolic Modelling and Its Application to the Analysis of COVID-19 Metabolic Signatures.Metabolites · 2023Review
- Construction and application of the genome-scale metabolic model ofFrontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Over the last two decades, thousands of genome-scale metabolic network models (GSMMs) have been constructed. These GSMMs have been widely applied in various fields, ranging from network interaction analysis, to cell phenotype prediction. However, due to the lack of constraints, the prediction accuracy of first-generation GSMMs was limited. To overcome these limitations, the next-generation GSMMs were developed by integrating omics data, adding constrain condition, integrating different biological models, and constructing whole-cell models. Here, we review recent advances of GSMMs from the first generation to the next generation. Then, we discuss the major application of GSMMs in industrial biotechnology, such as predicting phenotypes and guiding metabolic engineering. In addition, human health applications, including understanding biological mechanisms, discovering biomarkers and drug targets, are also summarized. Finally, we address the challenges and propose new trend of GSMMs. KEY POINTS: •This mini-review updates the literature on almost all published GSMMs since 1999. •Detailed insights into the development of the first- and next-generation GSMMs. •The application of GSMMs is summarized, and the prospects of integrating machine learning are emphasized.
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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.