ArticleBioinformatics (Oxford, England)2012
Metab2MeSH: annotating compounds with medical subject headings.
Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Fully memristive spiking neural network for energy-efficient graph learning.Science advances · 2025Article
- CoMentG: comprehensive retrieval of generic relationships between biomedical concepts from the scientific literature.Database : the journal of biological databases and curation · 2024Article
- MBROLE3: improved functional enrichment of chemical compounds for metabolomics data analysis.Nucleic acids research · 2023Article
- In silico, in vitro and in vivo characterization of host-associated Latilactobacillus curvatus strains for potential probiotic applications in farmed Atlantic salmon (Salmo salar).Scientific reports · 2022Article
- Identification of Drug-Disease Associations Using a Random Walk with Restart Method and Supervised Learning.Computational and mathematical methods in medicine · 2022Article
- A global lipid map defines a network essential for Zika virus replication.Nature communications · 2020Article
- Generating the Blood Exposome Database Using a Comprehensive Text Mining and Database Fusion Approach.Environmental health perspectives · 2019Article
- MetaboRank: network-based recommendation system to interpret and enrich metabolomics results.Bioinformatics (Oxford, England) · 2019Article
- Using predicate and provenance information from a knowledge graph for drug efficacy screening.Journal of biomedical semantics · 2018Article
- Aspergillus Secondary Metabolite Database, a resource to understand the Secondary metabolome of Aspergillus genus.Scientific reports · 2017Article
- From chromatogram to analyte to metabolite. How to pick horses for courses from the massive web resources for mass spectral plant metabolomics.GigaScience · 2017Review
- Sparse network modeling and metscape-based visualization methods for the analysis of large-scale metabolomics data.Bioinformatics (Oxford, England) · 2017Article
- MeSH Now: automatic MeSH indexing at PubMed scale via learning to rank.Journal of biomedical semantics · 2017Article
- ConceptMetab: exploring relationships among metabolite sets to identify links among biomedical concepts.Bioinformatics (Oxford, England) · 2016Article
- Network-based in silico drug efficacy screening.Nature communications · 2016Article
- Metabolomics and Its Application to Acute Lung Diseases.Frontiers in immunology · 2016Review
- Review
- MeSH ORA framework: R/Bioconductor packages to support MeSH over-representation analysis.BMC bioinformatics · 2015Article
- MetDisease--connecting metabolites to diseases via literature.Bioinformatics (Oxford, England) · 2014Article
- Recent progress in the development of metabolome databases for plant systems biology.Frontiers in plant science · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
summaryProgress in high-throughput genomic technologies has led to the development of a variety of resources that link genes to functional information contained in the biomedical literature. However, tools attempting to link small molecules to normal and diseased physiology and published data relevant to biologists and clinical investigators, are still lacking. With metabolomics rapidly emerging as a new omics field, the task of annotating small molecule metabolites becomes highly relevant. Our tool Metab2MeSH uses a statistical approach to reliably and automatically annotate compounds with concepts defined in Medical Subject Headings, and the National Library of Medicine's controlled vocabulary for biomedical concepts. These annotations provide links from compounds to biomedical literature and complement existing resources such as PubChem and the Human Metabolome Database.
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.