ArticleBiomolecules2022
Construction and Analysis of an Enzyme-Constrained Metabolic Model of
Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Systems metabolic engineering ofSynthetic and systems biotechnology · 2025Article
- Exploring Biomass Precursor Synthesis as a Determinant in Microbial Adaptation to Unadapted Carbon Sources with AdaptUC.Research (Washington, D.C.) · 2025Article
- Harnessing the optimization of enzyme catalytic rates in engineering of metabolic phenotypes.PLoS computational biology · 2024Article
- ECMpy 2.0: A Python package for automated construction and analysis of enzyme-constrained models.Synthetic and systems biotechnology · 2024Article
- Omics data analysis reveals the system-level constraint on cellular amino acid composition.Synthetic and systems biotechnology · 2024Article
- Construction of an enzyme-constrained metabolic network model for Myceliophthora thermophila using machine learning-based kMicrobial cell factories · 2024Article
- Co-Cultivated Enzyme Constraint Metabolic Network Model for Rational Guidance in Constructing Synthetic Consortia to Achieve Optimal Pathway Allocation Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Promising non-model microbial cell factories obtained by genome reduction.Frontiers in bioengineering and biotechnology · 2024Review
- CAVE: a cloud-based platform for analysis and visualization of metabolic pathways.Nucleic acids research · 2023Article
- ecBSU1: A Genome-Scale Enzyme-Constrained Model ofMicroorganisms · 2023Article
- Characterization of the enzyme kinetics of EMP and HMP pathway inFrontiers in bioengineering and biotechnology · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The genome-scale metabolic model (GEM) is a powerful tool for interpreting and predicting cellular phenotypes under various environmental and genetic perturbations. However, GEM only considers stoichiometric constraints, and the simulated growth and product yield values will show a monotonic linear increase with increasing substrate uptake rate, which deviates from the experimentally measured values. Recently, the integration of enzymatic constraints into stoichiometry-based GEMs was proven to be effective in making novel discoveries and predicting new engineering targets. Here, we present the first genome-scale enzyme-constrained model (ecCGL1) for
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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.