AOP4EUpest | Home

The AOP4EUpest webserver is a resource for annotated pesticides-biological events involved in Adverse Outcome Pathways (AOPs). Data were compiled from more than 30 millions of available abstracts in the PubMed database using AOP-helpFinder 2. This tool based on artificial intelligence, uses a text mining procedure and graph theory to explore and identify published associations between a pesticide and an event type (MIE, KE and AO).

AOP4EUpest webserver can assist in the identification of pesticides involved in an AOP, and in the future development of experimental studies. This computational tool is part of the new approach methodologies (NAM), of alternative methods to animal testing, and may be of high interest to regulatory agencies and other research related to risk assessment.


how to cite the AOP4EUpest server:

Florence Jornod, Marylène Rugard, Luc Tamisier, Xavier Coumoul, Helle R. Andersen, Robert Barouki, Karine Audouze. AOP4EUpest : Mapping of pesticides into Adverse Outcome Pathways using a text mining tool. doi: 10.1093/bioinformatics/btaa545

how to cite the AOPhelp-Finder method:

Carvaillo JC, Barouki R, Coumoul X, Audouze K. Linking Bisphenol S to Adverse Outcome Pathways Using a Combined Text Mining and Systems Biology Approach. Environ Health Perspect. 2019 Apr;127(4):47005. doi: 10.1289/EHP4200.

Getting help:

Scientific problems: Karine Audouze
Technical problems: Florence Jornod

FUNDING: This work has been supported by

The HBM4EU project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 733032.