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AOP4EUpest:利用文本挖掘工具绘制不良结局途径中的农药图谱。

AOP4EUpest: mapping of pesticides in adverse outcome pathways using a text mining tool.

机构信息

Université de Paris, T3S, Inserm UMR-S1124.

Université de Paris, SPPIN CNRS UMR 8003, Paris F-75006, France.

出版信息

Bioinformatics. 2020 Aug 1;36(15):4379-4381. doi: 10.1093/bioinformatics/btaa545.

DOI:10.1093/bioinformatics/btaa545
PMID:32467965
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7520043/
Abstract

MOTIVATION

Exposure to pesticides may lead to adverse health effects in human populations, in particular vulnerable groups. The main long-term health concerns are neurodevelopmental disorders, carcinogenicity as well as endocrine disruption possibly leading to reproductive and metabolic disorders. Adverse outcome pathways (AOP) consist in linear representations of mechanistic perturbations at different levels of the biological organization. Although AOPs are chemical-agnostic, they can provide a better understanding of the Mode of Action of pesticides and can support a rational identification of effect markers.

RESULTS

With the increasing amount of scientific literature and the development of biological databases, investigation of putative links between pesticides, from various chemical groups and AOPs using the biological events present in the AOP-Wiki database is now feasible. To identify co-occurrence between a specific pesticide and a biological event in scientific abstracts from the PubMed database, we used an updated version of the artificial intelligence-based AOP-helpFinder tool. This allowed us to decipher multiple links between the studied substances and molecular initiating events, key events and adverse outcomes. These results were collected, structured and presented in a web application named AOP4EUpest that can support regulatory assessment of the prioritized pesticides and trigger new epidemiological and experimental studies.

AVAILABILITY AND IMPLEMENTATION

http://www.biomedicale.parisdescartes.fr/aop4EUpest/home.php.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

接触农药可能会对人类群体的健康产生不良影响,特别是弱势群体。主要的长期健康问题包括神经发育障碍、致癌性以及可能导致生殖和代谢紊乱的内分泌干扰。不良结局途径(AOP)是对生物组织不同层次的机制扰动进行线性表示。尽管 AOP 与化学物质无关,但它们可以更好地理解农药的作用机制,并支持对效应标志物的合理识别。

结果

随着科学文献数量的增加和生物数据库的发展,现在可以使用 AOP-Wiki 数据库中存在的生物学事件,调查来自不同化学群组和 AOP 的农药之间的潜在联系。为了在 PubMed 数据库的科学摘要中识别特定农药与生物学事件之间的共现,我们使用了基于人工智能的 AOP-helpFinder 工具的更新版本。这使我们能够破译研究物质与分子起始事件、关键事件和不良结局之间的多种联系。这些结果被收集、组织并在一个名为 AOP4EUpest 的网络应用程序中呈现,该程序可以支持优先农药的监管评估,并引发新的流行病学和实验研究。

可用性和实施

http://www.biomedicale.parisdescartes.fr/aop4EUpest/home.php。

补充信息

补充数据可在 Bioinformatics 在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85f8/7520043/214f9127712f/btaa545f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85f8/7520043/d3af9842ebba/btaa545f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85f8/7520043/214f9127712f/btaa545f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85f8/7520043/d3af9842ebba/btaa545f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85f8/7520043/214f9127712f/btaa545f2.jpg

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