ReviewMetabolites2021
Genome-Scale Metabolic Modeling Enables In-Depth Understanding of Big Data.
Review in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 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
75 citing papers in PubMed.
- The Biotechnological Applications of Marine Bacteria.Biology · 2026Review
- Biological applications and future perspectives of bioactive compounds as pig feed additives.Animal nutrition (Zhongguo xu mu shou yi xue hui) · 2026Review
- Metabolic Task Analysis Reveals Distinct Metabotypes in End-Stage Dilated Cardiomyopathy.Circulation. Genomic and precision medicine · 2026Article
- Enzyme kinetics shapes the growth response of metabolic networks.PLoS computational biology · 2026Article
- Comparative genomics and metabolic model analysis of primary and secondary endosymbionts present in different species of whitefly.Journal of insect science (Online) · 2026Article
- Predictive Algal Systems Biology: Integrating Omics, Genome-Scale Metabolic Models, and Machine Learning.Bioengineering (Basel, Switzerland) · 2026Review
- A Novel Network Approach to Identify Sample-Specific Context-Informed Metabolic Signatures During Developmental Processes.bioRxiv : the preprint server for biology · 2026Article
- Tripleknock: predicting lethal effect of three-gene knockout in bacteria by deep learning.Scientific reports · 2026Article
- Sec and Tat Mediated Secretion Safeguards Mycobacterium tuberculosis Membrane Homeostasis.Molecular & cellular proteomics : MCP · 2026Article
- From FAIR to CURE: guidelines for computational models of biological systems.NPJ systems biology and applications · 2026Review
- Advances in genome-scale metabolic modeling of Bacillus subtilis.Biotechnology letters · 2026Review
- A Closed Computational-Experimental Loop Identifies Metabolic Collapse at the Root of Macrophage Dysfunction due to Zinc Dyshomeostasis.bioRxiv : the preprint server for biology · 2026Article
- Genome-wide identification of tomato B-RRs gene family and expression analysis in response to ABA and drought.PloS one · 2026Article
- Multi-omics and synthetic microbial ecology for engineering climate-resilient phytobiomes in cold-arid agroecosystems: current advances and future perspectives.Frontiers in microbiology · 2026Review
- The Need for a Systems Biology Approach in Cancer Explained.International journal of molecular sciences · 2025Review
- Epigenetic control of metabolic identity across cell types.BMC genomics · 2025Article
- Gut microbiota in diarrheic and healthy calves: comparative analysis of 16S rRNA gene full-length sequences.BMC veterinary research · 2025Article
- Genome-scale metabolic modeling and machine learning unravel metabolic reprogramming and mast cell role in lung cancer: a multi-level analysis.Translational lung cancer research · 2025Article
- The chemical interaction between plants and the rhizosphere microbiome.Trends in plant science · 2025Review
- RSEA: A Web Server for Pathway Enrichment Analysis of Metabolic Reaction Sets.Biotechnology and bioengineering · 2025Article
15 more citing papers are in PubMed but not listed here.
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.
Funding
Abstract
Genome-scale metabolic models (GEMs) enable the mathematical simulation of the metabolism of archaea, bacteria, and eukaryotic organisms. GEMs quantitatively define a relationship between genotype and phenotype by contextualizing different types of Big Data (e.g., genomics, metabolomics, and transcriptomics). In this review, we analyze the available Big Data useful for metabolic modeling and compile the available GEM reconstruction tools that integrate Big Data. We also discuss recent applications in industry and research that include predicting phenotypes, elucidating metabolic pathways, producing industry-relevant chemicals, identifying drug targets, and generating knowledge to better understand host-associated diseases. In addition to the up-to-date review of GEMs currently available, we assessed a plethora of tools for developing new GEMs that include macromolecular expression and dynamic resolution. Finally, we provide a perspective in emerging areas, such as annotation, data managing, and machine learning, in which GEMs will play a key role in the further utilization of Big Data.
Indexed as
Identifiers
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.