AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F22%3A00125462" target="_blank" >RIV/00216224:14310/22:00125462 - isvavai.cz</a>
Result on the web
<a href="https://academic.oup.com/bioinformatics/article/38/4/1173/6414613" target="_blank" >https://academic.oup.com/bioinformatics/article/38/4/1173/6414613</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/bioinformatics/btab750" target="_blank" >10.1093/bioinformatics/btab750</a>
Alternative languages
Result language
angličtina
Original language name
AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Bioinformatics
ISSN
1367-4803
e-ISSN
1460-2059
Volume of the periodical
38
Issue of the periodical within the volume
4
Country of publishing house
GB - UNITED KINGDOM
Number of pages
3
Pages from-to
1173-1175
UT code for WoS article
000747962400049
EID of the result in the Scopus database
2-s2.0-85126279187