ReviewJournal of industrial microbiology & biotechnology2015
Genome-scale modeling for metabolic engineering.
Review in Journal of industrial microbiology & biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
51 citing papers in PubMed.
- Heterologous production of a plant biostimulant in Streptomyces albidoflavus.Applied microbiology and biotechnology · 2026Article
- Hypergraph learning with multi-dimensional metabolite feature extractions and static-dynamic attention mechanisms to fill missing reactions in metabolic networks.Briefings in bioinformatics · 2026Article
- A multi-way SMILES-based hypergraph inference network for metabolic model reconstruction.Communications biology · 2026Article
- Advances in genome-scale metabolic modeling of Bacillus subtilis.Biotechnology letters · 2026Review
- Development and application of synthetic biology tools for improved production of human breast milk components.Synthetic and systems biotechnology · 2025Review
- Evaluation of Genome-Scale Model Reconstruction Strategies forMetabolites · 2025Article
- Beyond Cutting: CRISPR-Driven Synthetic Biology Toolkit for Next-Generation Microalgal Metabolic Engineering.International journal of molecular sciences · 2025Review
- Detection ofAntioxidants (Basel, Switzerland) · 2025Article
- Physiology-informed use of Cupriavidus necator in biomanufacturing: a review of advances and challenges.Microbial cell factories · 2025Review
- Methanothermobacter thermautotrophicus and Alternative Methanogens: Archaea-Based Production.Advances in biochemical engineering/biotechnology · 2025Review
- A Study of the Community Relationships Between Methanotrophs and Their Satellites Using Constraint-Based Modeling Approach.International journal of molecular sciences · 2024Article
- Strategy for Optimizing Vitamin B12 Production inMetabolites · 2024Article
- Current State, Challenges, and Opportunities in Genome-Scale Resource Allocation Models: A Mathematical Perspective.Metabolites · 2024Review
- Balancing biomass reaction stoichiometry and measured fluxes in flux balance analysis.Bioinformatics (Oxford, England) · 2023Article
- Unlocking the magic in mycelium: Using synthetic biology to optimize filamentous fungi for biomanufacturing and sustainability.Materials today. Bio · 2023Article
- Systematizing Microbial Bioplastic Production for Developing Sustainable Bioeconomy: Metabolic Nexus Modeling, Economic and Environmental Technologies Assessment.Journal of polymers and the environment · 2023Review
- A genome-scale metabolic model of Cupriavidus necator H16 integrated with TraDIS and transcriptomic data reveals metabolic insights for biotechnological applications.PLoS computational biology · 2022Article
- A novel SfaNI-like restriction-modification system in Caldicellulosiruptor extents the genetic engineering toolbox for this genus.PloS one · 2022Article
- Genome-Scale Reconstruction of Microbial Dynamic Phenotype: Successes and Challenges.Microorganisms · 2021Review
- Path to improving the life cycle and quality of genome-scale models of metabolism.Cell systems · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
We focus on the application of constraint-based methodologies and, more specifically, flux balance analysis in the field of metabolic engineering, and enumerate recent developments and successes of the field. We also review computational frameworks that have been developed with the express purpose of automatically selecting optimal gene deletions for achieving improved production of a chemical of interest. The application of flux balance analysis methods in rational metabolic engineering requires a metabolic network reconstruction and a corresponding in silico metabolic model for the microorganism in question. For this reason, we additionally present a brief overview of automated reconstruction techniques. Finally, we emphasize the importance of integrating metabolic networks with regulatory information-an area which we expect will become increasingly important for metabolic engineering-and present recent developments in the field of metabolic and regulatory integration.
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What OpenQuestion holds
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.