AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development

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Authors

JORNOD Florence JAYLET Thomas BLÁHA Luděk SARIGIANNIS Denis TAMISIER Luc AUDOUZE Karine

Year of publication 2022
Type Article in Periodical
Magazine / Source Bioinformatics
MU Faculty or unit

Faculty of Science

Citation
Web https://academic.oup.com/bioinformatics/article/38/4/1173/6414613
Doi http://dx.doi.org/10.1093/bioinformatics/btab750
Keywords Adverse outcome pathways;risk assessment; bioinformatics tool
Attached files
Description Motivation: Adverse outcome pathways (AOPs) are a conceptual framework developed to support the use of alternative toxicology approaches in the risk assessment. AOPs are structured linear organizations of existing knowledge illustrating causal pathways from the initial molecular perturbation triggered by various stressors, through key events (KEs) at different levels of biology, to the ultimate health or ecotoxicological adverse outcome. Results: Artificial intelligence can be used to systematically explore available toxicological data that can be parsed in the scientific literature. Recently, a tool called AOP-helpFinder was developed to identify associations between stressors and KEs supporting thus documentation of AOPs. To facilitate the utilization of this advanced bioinformatics tool by the scientific and the regulatory community, a webserver was created. The proposed AOP-helpFinder webserver uses better performing version of the tool which reduces the need for manual curation of the obtained results. As an example, the server was successfully applied to explore relationships of a set of endocrine disruptors with metabolic-related events. The AOP-helpFinder webserver assists in a rapid evaluation of existing knowledge stored in the PubMed database, a global resource of scientific information, to build AOPs and Adverse Outcome Networks supporting the chemical risk assessment.
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