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@article{1838518,
author = {Jornod, Florence and Jaylet, Thomas and Bláha, Luděk and Sarigiannis, Denis and Tamisier, Luc and Audouze, Karine},
article_location = {OXFORD},
article_number = {4},
doi = {http://dx.doi.org/10.1093/bioinformatics/btab750},
keywords = {Adverse outcome pathways;risk assessment; bioinformatics tool},
language = {eng},
issn = {1367-4803},
journal = {Bioinformatics},
title = {AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development},
url = {https://academic.oup.com/bioinformatics/article/38/4/1173/6414613},
volume = {38},
year = {2022}
}
TY - JOUR
ID - 1838518
AU - Jornod, Florence - Jaylet, Thomas - Bláha, Luděk - Sarigiannis, Denis - Tamisier, Luc - Audouze, Karine
PY - 2022
TI - AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development
JF - Bioinformatics
VL - 38
IS - 4
SP - 1173-1175
EP - 1173-1175
PB - OXFORD UNIV PRESS
SN - 13674803
KW - Adverse outcome pathways;risk assessment
KW - bioinformatics tool
UR - https://academic.oup.com/bioinformatics/article/38/4/1173/6414613
N2 - 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.
ER -
JORNOD, Florence, Thomas JAYLET, Luděk BLÁHA, Denis SARIGIANNIS, Luc TAMISIER a Karine AUDOUZE. AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development. \textit{Bioinformatics}. OXFORD: OXFORD UNIV PRESS, 2022, roč.~38, č.~4, s.~1173-1175. ISSN~1367-4803. doi:10.1093/bioinformatics/btab750.
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