AOP4EUpest
AOP4EUpest extracts and links pesticide–biological event co-occurrences to Adverse Outcome Pathways (AOPs) to support mechanistic assessment of pesticide-induced health effects.
Key Features:
- Annotated Database: An annotated repository of pesticide-associated biological events linked to AOP-Wiki entries.
- Integration with Scientific Literature: Uses the AI-based AOP-helpFinder to identify co-occurrences between specific pesticides and biological events in PubMed abstracts.
- Structured Pathway Mapping: Organizes and links molecular initiating events (MIEs), key events (KEs), and adverse outcomes (AOs) to represent mechanistic pathways.
- Support for Regulatory Assessment: Facilitates identification of biomarkers and prioritization of pesticides for further investigation based on mechanistic links.
- Facilitation of New Studies: Generates mechanistic hypotheses to guide epidemiological and experimental studies on pesticide health impacts.
Scientific Applications:
- Health Risk Assessment: Maps mechanistic pathways to support assessment of long-term risks including neurodevelopmental disorders, carcinogenicity, and endocrine disruption leading to reproductive and metabolic disorders.
- Research and Development: Identifies knowledge gaps and mechanistic questions to inform targeted experimental and epidemiological study design.
- Policy Making: Provides mechanistic evidence to inform regulatory prioritization and policy decisions regarding pesticides.
Methodology:
AOP4EUpest applies the AI-based AOP-helpFinder to mine PubMed abstracts for pesticide–biological event co-occurrences, extracts relevant data, and maps those events to AOP-Wiki entries to link MIEs, KEs, and AOs.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 1/23/2021
Operations
Publications
Jornod F, Rugard M, Tamisier L, Coumoul X, Andersen HR, Barouki R, Audouze K. AOP4EUpest: mapping of pesticides in adverse outcome pathways using a text mining tool. Bioinformatics. 2020;36(15):4379-4381. doi:10.1093/bioinformatics/btaa545. PMID:32467965. PMCID:PMC7520043.