ArticleJournal of cheminformatics2015
PubChemRDF: towards the semantic annotation of PubChem compound and substance databases.
Article in Journal of cheminformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 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
52 citing papers in PubMed.
- tmQM-RDF Data Set: A Knowledge Graph Representing Transition Metal Complexes.Journal of chemical information and modeling · 2026Article
- MolMeDB RDF: transforming a relational database about biological membranes to the RDF format to increase interoperability.Journal of cheminformatics · 2026Article
- Database resources of the National Center for Biotechnology Information in 2026.Nucleic acids research · 2026Article
- Summarizing relationships between chemicals, genes, proteins, and diseases in PubChem using analysis of their co-occurrences in patents.Journal of cheminformatics · 2025Article
- AgroLD: a knowledge graph for the plant sciences.BMC genomic data · 2025Article
- A network toxicology approach to decipher paraben-induced molecular dysregulation in breast cancer pathogenesis.Discover oncology · 2025Article
- A resource description framework (RDF) model of named entity co-occurrences in biomedical literature and its integration with PubChemRDF.Journal of cheminformatics · 2025Article
- An exploratory study combining Virtual Reality and Semantic Web for life science research using Graph2VR.Database : the journal of biological databases and curation · 2025Article
- Beyond chemical structures: lessons and guiding principles for the next generation of molecular databases.Chemical science · 2025Review
- Database resources of the National Center for Biotechnology Information in 2025.Nucleic acids research · 2025Article
- Evaluation of search-enabled pretrained Large Language Models on retrieval tasks for the PubChem database.Bioinformatics advances · 2025Article
- Mining patents with large language models elucidates the chemical function landscape.Digital discovery · 2024Article
- The IDSM mass spectrometry extension: searching mass spectra using SPARQL.Bioinformatics (Oxford, England) · 2024Article
- Visualization and exploration of linked data using virtual reality.Database : the journal of biological databases and curation · 2024Article
- Database resources of the National Center for Biotechnology Information.Nucleic acids research · 2024Article
- Article
- Chemical Species Ontology for Data Integration and Knowledge Discovery.Journal of chemical information and modeling · 2023Article
- Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data.Journal of chemical information and modeling · 2023Review
- Bridging glycoinformatics and cheminformatics: integration efforts between GlyCosmos and PubChem.Glycobiology · 2023Article
- qHTSWaterfall: 3-dimensional visualization software for quantitative high-throughput screening (qHTS) data.Journal of cheminformatics · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPubChem is an open repository for chemical structures, biological activities and biomedical annotations. Semantic Web technologies are emerging as an increasingly important approach to distribute and integrate scientific data. Exposing PubChem data to Semantic Web services may help enable automated data integration and management, as well as facilitate interoperable web applications. DESCRIPTION: This work, one of a series covering the PubChemRDF project, describes an approach to translate PubChem Substance and Compound information into Resource Description Framework (RDF) format. Basic examples are provided to demonstrate its use. The aim of this effort is to provide two new primary benefits to researchers in a cost-effective manner. Firstly, we aim to remove the inherent limitations of using the web-based resource PubChem by allowing a researcher to use readily available semantic technologies (namely, RDF triple stores and their corresponding SPARQL query engines) to query and analyze PubChem data on local computing resources. Secondly, this work intends to help improve data sharing, analysis, and integration of PubChem data to resources external to NCBI and across scientific domains, by means of the association of PubChem data to existing ontological frameworks, including CHEMical INFormation ontology, Semanticscience Integrated Ontology, and others.
conclusionsWith the goal of semantically describing information available in the PubChem archive, pre-existing ontological frameworks were used, rather than creating new ones. Semantic relationships between compounds and substances, chemical descriptors associated with compounds and substances, interrelationships between chemicals, as well as provenance and attribute metadata of substances are described. Graphical abstract:Schematic representation of the semantic links for PubChem compounds and substances.
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.