ArticleMetabolites2022
MetAMDB: Metabolic Atom Mapping Database.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets.Metabolites · 2026Article
- CBR-db: A Cheminformatic Database for Biochemical Reaction Analysis.ACS synthetic biology · 2026Article
- Article
- Computing double-pushout graph transformation rules and atom-to-atom maps from KEGG RCLASS data.Algorithms for molecular biology : AMB · 2026Article
- High-Quality Predicted Pathway Annotations Greatly Improve Pathway Enrichment Analysis of Metabolomics Datasets.bioRxiv : the preprint server for biology · 2025Article
- An integrated AI knowledge graph framework of bacterial enzymology and metabolism.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- md_harmonize: A Python Package for Atom-Level Harmonization of Public Metabolic Databases.Metabolites · 2023Article
- EnzymeMap: curation, validation and data-driven prediction of enzymatic reactions.Chemical science · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MetAMDB is an open-source metabolic atom mapping database, providing atom mappings for around 43,000 metabolic reactions. Each atom mapping can be inspected and downloaded either as an RXN file or as a graphic in SVG format. In addition, MetAMDB offers the possibility of automatically creating atom mapping models based on user-specified metabolic networks. These models can be of any size (small to genome-scale) and can subsequently be used in standard 13C metabolic flux analysis software.
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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.