AOP-helpFinder 2.0: Integration of an event-event searches module

AOP-helpFinder 2.0: Integration of an event-event searches module
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DOI:
10.1016/j.envint.2023.108017
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发表时间:
2023-06-07
影响因子:
11.8
通讯作者:
Audouze,Karine
Audouze,Karine
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Jaylet,Thomas;Coustillet,Thibaut;Audouze,Karine

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为了支持在化学品风险监管评估中使用替代方法,不良后果途径(AOP)的概念构成了重要的毒理学工具。AOP代表了现有知识的结构化表示,将由导致生物关键事件(KE)级联的原型应激源启动的分子起始事件(MIE)与不良结果(AO)联系起来。开发这种AOP的生物信息非常分散在各种数据源中。为了增加捕获相关现有数据以开发新AOP的机会,最近实现了AOP帮助工具,以帮助研究人员设计新的AOP。在这里,一个更新版本的AOP-helpdown提出了新的功能。主要的一个是从PubMed数据库中自动筛选摘要,以识别和提取事件-事件关联。此外,还创建了一个新的评分系统,用于对识别出的共同发生的术语(压力源-事件或事件-事件(代表关键事件关系))进行分类,以帮助确定优先级并支持证据权重方法,从而对AOP的强度和可靠性进行全局评估。此外,为了便于解释的结果,可视化选项也提出了。AOP-helpdown源代码可以通过GitHub完全访问,搜索可以通过http://aop-helpfinder-v2.u-paris-sciences.fr/的Web界面执行。
To support the use of alternative methods in regulatory assessment of chemical risks, the concept of adverse outcome pathway (AOP) constitutes an important toxicological tool. AOP represents a structured representation of existing knowledge, linking molecular initiating event (MIE) initiated by a prototypical stressor that leads to a cascade of biological key event (KE) to an adverse outcome (AO). Biological information to develop such AOP is very dispersed in various data sources. To increase the chance of capturing relevant existing data to develop a new AOP, the AOP-helpFinder tool was recently implemented to assist researchers to design new AOP. Here, an updated version of AOP-helpFinder proposes novel functionalities. The main one being the implementation of an automatic screening of the abstracts from the PubMed database to identify and extract event-event associations. In addition, a new scoring system was created to classify the identified co-occurred terms (stressor-event or event-event (which represent key event relationships) to help prioritization and support the weight of evidence approach, allowing a global assessment of the strength and reliability of the AOP. Moreover, to facilitate interpretation of the results, visualization options are also proposed. The AOP-helpFinder source code are fully accessible via GitHub, and searches can be performed via a web interface at http://aop-helpfinder-v2.u-paris-sciences.fr/.