Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Semantic characterization of adverse outcome pathways.

Aquatic toxicology (Amsterdam, Netherlands) - 1 May 2020

Wang Rong-Lin

Abstract excerpt

This study was undertaken to systematically assess the utilities and performance of ontology-based semantic analysis in adverse outcome pathway (AOP) research. With an increasing number of AOPs developed by scientific domain experts to organize toxicity information and facilitate chemical risk assessment, there is a pressing need for objective approaches to evaluate the biological coherence and quality of these...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biological Ontologies
Share to Biomedical Research
Share to Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Risk Assessment

Share to Semantics

Share to Toxicology

Source

Open in PubMed Open full text

Identifiers

PMID: 32278258
DOI: 10.1016/j.aquatox.2020.105478
PMCID: PMC7393770

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Semantic characterization of adverse outcome pathways.PMID 32278258Read ↗

Integrating Semantic Retrieval, LLM-based Refinement, and Structured Expert Curation for Scalable AOP Gene MappingSemantic proximity Read ↗

Molecular annotation of AOPs guides the development of the next generation mechanistic chemical safety assessment and new approach methodsSemantic proximity Read ↗

AOPGraphExplorer 2.0: An Interactive Graph-Based Platform for Multi-Domain Mechanistic Annotation and Exploration of Adverse Outcome PathwaysSemantic proximity Read ↗

Safetyome and specialized panels for over 3,000 phenotypes: a systematic and translational approach using human genetics and pharmacology.Semantic proximity Read ↗

Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.Semantic proximity Read ↗

Linking human diseases to animal models using ontology-based phenotype annotation.Semantic proximity Read ↗

Generating adverse outcome pathway (AOP) of inorganic arsenic-induced adult male reproductive impairment via integration of phenotypic analysis in comparative toxicogenomics database (CTD) and AOP wiki.Semantic proximity Read ↗

Integrating phenotype ontologies with PhenomeNET.Semantic proximity Read ↗

Applying knowledge-driven mechanistic inference to toxicogenomicsSemantic proximity Read ↗

The Comparative Toxicogenomics Database's 10th year anniversary: update 2015.Semantic proximity Read ↗

Functional analysis of multiple genomic signatures demonstrates that classification algorithms choose phenotype-related genes.Semantic proximity Read ↗

Linking chemical data from the Comparative Toxicogenomics Database with adverse outcome pathways from the AOP-Wiki: a mechanistic data-oriented approach to help inform environmental healthSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.