ReviewCurrent opinion in biotechnology2019
Metabolic kinetic modeling provides insight into complex biological questions, but hurdles remain.
Review in Current opinion in biotechnology, 2019. 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Analysis of metabolic stability under environmental perturbations using a kinetic model.Biophysics and physicobiology · 2026Article
- Complex Kinetic Models Predict β-Carotene Production and Reveal Flux Limitations in RecombinantACS synthetic biology · 2025Article
- Systems biology approach for enhancing limonene yield by re-engineering Escherichia coli.NPJ systems biology and applications · 2024Article
- BayesianSSA: a Bayesian statistical model based on structural sensitivity analysis for predicting responses to enzyme perturbations in metabolic networks.BMC bioinformatics · 2024Article
- Enzyme catalytic efficiency prediction: employing convolutional neural networks and XGBoost.Frontiers in artificial intelligence · 2024Article
- Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2023Review
- Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning.Nature communications · 2023Article
- Role of tumor microenvironment in cancer progression and therapeutic strategy.Cancer medicine · 2023Review
- GotEnzymes: an extensive database of enzyme parameter predictions.Nucleic acids research · 2023Article
- NADH-based kinetic model for acetone-butanol-ethanol production byFrontiers in bioengineering and biotechnology · 2023Article
- Metabolomics and modelling approaches for systems metabolic engineering.Metabolic engineering communications · 2022Review
- Analysis of Hepatic Lipid Metabolism Model: Simulation and Non-Stationary Global Sensitivity Analysis.Nutrients · 2022Article
- Metabolic Engineering Interventions for Sustainable 2,3-Butanediol Production in Gas-FermentingmSystems · 2022Article
- Algorithmic multiscale analysis for the FcRn mediated regulation of antibody PK in human.Scientific reports · 2022Article
- Impact of Influenza A Virus Infection on Growth and Metabolism of Suspension MDCK Cells Using a Dynamic Model.Metabolites · 2022Article
- Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks.Nature machine intelligence · 2022Article
- Deep learning allows genome-scale prediction of Michaelis constants from structural features.PLoS biology · 2021Article
- Integrating systemic and molecular levels to infer key drivers sustaining metabolic adaptations.PLoS computational biology · 2021Article
- Dissecting the regulatory roles of ORM proteins in the sphingolipid pathway of plants.PLoS computational biology · 2021Article
- Using optimal control to understand complex metabolic pathways.BMC bioinformatics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Metabolic models containing kinetic information can answer unique questions about cellular metabolism that are useful to metabolic engineering. Several kinetic modeling frameworks have recently been developed or improved. In addition, techniques for systematic identification of model structure, including regulatory interactions, have been reported. Each framework has advantages and limitations, which can make it difficult to choose the most appropriate framework. Common limitations are data availability and computational time, especially in large-scale modeling efforts. However, recently developed experimental techniques, parameter identification algorithms, as well as model reduction techniques help alleviate these computational bottlenecks. Opportunities for additional improvements may come from the rich literature in catalysis and chemical networks. In all, kinetic models are positioned to make significant impact in cellular engineering.
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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.