ArticleNucleic acids research2026
MetaNetX: a bridge between metabolic resources for enhanced curation and multi-omics data harmonization.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Article
- BioEMMA: Automated Generation of Model-Specific Escher-Compatible Maps from KEGG Pathways.Biology · 2026Article
- Nutrient control enables metabolic reconstruction ofbioRxiv : the preprint server for biology · 2026Article
- Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.PLoS computational biology · 2026Article
- NAViFluX: a visualization‑centric platform for interactive analysis, refinement and design of genome‑scale metabolic networks.Bioinformatics (Oxford, England) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
MetaNetX (https://www.metanetx.org/) is a comprehensive resource for the reconciliation and integration of metabolic information across diverse biochemical databases. The 2025 update significantly enhances chemical and reaction coverage, incorporating new data and refining chemical structure computation and normalization. These improvements support more accurate reconciliation across sources and enable robust multi-omics integration through standardized identifiers (InChI, SMILES) and curated R-group definitions. The Resource Description Format (RDF) graph has been expanded to capture reconciliation history, and the SPARQL endpoint now includes enriched documentation and example queries, facilitating programmatic access and integration with AI tools. Together, these developments reinforce MetaNetX as a high-quality, open-access platform for systems biology, metabolic modeling, and multi-omics data analysis.
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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.