AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development
Abstract 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...
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Published in | Bioinformatics Vol. 38; no. 4; pp. 1173 - 1175 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
27.01.2022
Oxford University Press (OUP) |
Subjects | |
Online Access | Get full text |
ISSN | 1367-4803 1367-4811 1460-2059 1367-4811 |
DOI | 10.1093/bioinformatics/btab750 |
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Summary: | Abstract
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.
Availability and implementation
AOP-helpFinder is available at http://aop-helpfinder.u-paris-sciences.fr/index.php
Supplementary information
Supplementary data are available at Bioinformatics online. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1367-4803 1367-4811 1460-2059 1367-4811 |
DOI: | 10.1093/bioinformatics/btab750 |