ReviewJournal of internal medicine2012
Using the reconstructed genome-scale human metabolic network to study physiology and pathology.
Review in Journal of internal medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 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
50 citing papers in PubMed, 115 citations in OpenAlex.
- A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.Briefings in bioinformatics · 2026Review
- Personalized Genome-Scale Modeling Reveals Metabolic Perturbations in Fibroblasts of Methylmalonic Aciduria Patients.Journal of inherited metabolic disease · 2025Article
- Genome-scale models in human metabologenomics.Nature reviews. Genetics · 2025Review
- A benchmark of RNA-seq data normalization methods for transcriptome mapping on human genome-scale metabolic networks.NPJ systems biology and applications · 2024Article
- Metabolic Connectome and Its Role in the Prediction, Diagnosis, and Treatment of Complex Diseases.Metabolites · 2024Review
- Transcriptome-based biomarker prediction for Parkinson's disease using genome-scale metabolic modeling.Scientific reports · 2024Article
- Loss of the Kidney Urate Transporter, Urat1, Leads to Disrupted Redox Homeostasis in Mice.Antioxidants (Basel, Switzerland) · 2023Article
- Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer.Frontiers in oncology · 2022Review
- A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Artificial Intelligence and Early Detection of Pancreatic Cancer: 2020 Summative Review.Pancreas · 2021Review
- MASSpy: Building, simulating, and visualizing dynamic biological models in Python using mass action kinetics.PLoS computational biology · 2021Article
- Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN.Nature communications · 2020Article
- iMM1865: A New Reconstruction of Mouse Genome-Scale Metabolic Model.Scientific reports · 2020Article
- Integration of transcriptomic data in a genome-scale metabolic model to investigate the link between obesity and breast cancer.BMC bioinformatics · 2019Article
- A Model Integration Pipeline for the Improvement of Human Genome-Scale Metabolic Reconstructions.Journal of integrative bioinformatics · 2018Article
- Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease.Endocrine reviews · 2018Review
- Constraint-based modeling in microbial food biotechnology.Biochemical Society transactions · 2018Review
- Endothelial Cell Metabolism.Physiological reviews · 2018Review
- Proliferation inhibition of cisplatin-resistant ovarian cancer cells using drugs screened by integrating a metabolic model and transcriptomic data.Cell proliferation · 2017Article
- Mathematical and Computational Modeling in Complex Biological Systems.BioMed research international · 2017Review
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 at 1 institution in 1 country.
Funding
Abstract
Metabolism plays a key role in many major human diseases. Generation of high-throughput omics data has ushered in a new era of systems biology. Genome-scale metabolic network reconstructions provide a platform to interpret omics data in a biochemically meaningful manner. The release of the global human metabolic network, Recon 1, in 2007 has enabled new systems biology approaches to study human physiology, pathology and pharmacology. There are currently more than 20 publications that utilize Recon 1, including studies of cancer, diabetes, host-pathogen interactions, heritable metabolic disorders and off-target drug binding effects. In this mini-review, we focus on the reconstruction of the global human metabolic network and four classes of its application. We show that computational simulations for numerous pathologies have yielded clinically relevant results, many corroborated by existing or newly generated experimental data.
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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.