ReviewBiomolecules2022
Construction of Multiscale Genome-Scale Metabolic Models: Frameworks and Challenges.
Review in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Model of metabolism and gene expression predicts proteome allocation in Pseudomonas putida.NPJ systems biology and applications · 2025Article
- Influence of Amino Acids on Quorum Sensing-Related Pathways inMetabolites · 2025Article
- Evolution and applications of genome-scale metabolic models in yeast systems biology studies.FEMS yeast research · 2025Review
- MitoMAMMAL: a genome scale model of mammalian mitochondria predicts cardiac and BAT metabolism.Bioinformatics advances · 2025Article
- Developing a media formulation to sustainFrontiers in bioengineering and biotechnology · 2025Article
- A Multi-Omics, Machine Learning-Aware, Genome-Wide Metabolic Model of Bacillus Subtilis Refines the Gene Expression and Cell Growth Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Genome-Scale Metabolic Models in Fungal Pathogens: Past, Present, and Future.International journal of molecular sciences · 2024Review
- Integrating Genome-Scale Metabolic Models with Patient Plasma Metabolome to Study Endothelial Metabolism In Situ.International journal of molecular sciences · 2024Article
- From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology.Bioengineering (Basel, Switzerland) · 2023Review
- A novel strategy for dynamic modeling of genome-scale interaction networks.Bioinformatics (Oxford, England) · 2023Article
- Machine learning for metabolic pathway optimization: A review.Computational and structural biotechnology journal · 2023Review
- Enzyme-constrained metabolic model andComputational and structural biotechnology journal · 2023Article
- Towards advanced bioprocess optimization: A multiscale modelling approach.Computational and structural biotechnology journal · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-scale metabolic models (GEMs) are effective tools for metabolic engineering and have been widely used to guide cell metabolic regulation. However, the single gene-protein-reaction data type in GEMs limits the understanding of biological complexity. As a result, multiscale models that add constraints or integrate omics data based on GEMs have been developed to more accurately predict phenotype from genotype. This review summarized the recent advances in the development of multiscale GEMs, including multiconstraint, multiomic, and whole-cell models, and outlined machine learning applications in GEM construction. This review focused on the frameworks, toolkits, and algorithms for constructing multiscale GEMs. The challenges and perspectives of multiscale GEM development are also discussed.
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What Socratic 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 Socratic graph.