Chemical Structure Representation Standardization Is Needed to Generalize Metabolite-Pathway Involvement Prediction Across KEGG, Reactome, and MetaCyc Knowledgebases.

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

3 citing papers in PubMed.

1. High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets.Metabolites · 2026
   Article
2. Predicting the pathway involvement of metabolites annotated in the MetaCyc knowledgebase.BMC bioinformatics · 2026
   Article
3. High-Quality Predicted Pathway Annotations Greatly Improve Pathway Enrichment Analysis of Metabolomics Datasets.bioRxiv : the preprint server for biology · 2025
   Article

Corrections and comments

• Update of
  Chemical representation standardization needed to generalize metabolic pathway involvement prediction across the Kyoto Encyclopedia of Genes and Genomes, Reactome, and MetaCyc knowledgebases.2025

Authors and funding

2 authors.

Funding

Abstract

PubMed holds no abstract for this paper.

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