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AOP-DB:通过整合关联网络探索不良结局途径的数据库资源。

AOP-DB: A database resource for the exploration of Adverse Outcome Pathways through integrated association networks.

机构信息

Oak Ridge Associated Universities, Research Triangle Park, NC 27709, USA.

US Environmental Protection Agency, Office of Research and Development (ORD), National Health and Environmental Effects Laboratory, Integrated Systems Toxicology Division, Research Triangle Park, NC 27709, USA.

出版信息

Toxicol Appl Pharmacol. 2018 Mar 15;343:71-83. doi: 10.1016/j.taap.2018.02.006. Epub 2018 Feb 14.

Abstract

The Adverse Outcome Pathway (AOP) framework describes the progression of a toxicity pathway from molecular perturbation to population-level outcome in a series of measurable, mechanistic responses. The controlled, computer-readable vocabulary that defines an AOP has the ability to, automatically and on a large scale, integrate AOP knowledge with publically available sources of biological high-throughput data and its derived associations. To support the discovery and development of putative (existing) and potential AOPs, we introduce the AOP-DB, an exploratory database resource that aggregates association relationships between genes and their related chemicals, diseases, pathways, species orthology information, ontologies, and gene interactions. These associations are mined from publically available annotation databases and are integrated with the AOP information centralized in the AOP-Wiki, allowing for the automatic characterization of both putative and potential AOPs in the context of multiple areas of biological information, referred to here as "biological entities". The AOP-DB acts as a hypothesis-generation tool for the expansion of putative AOPs, as well as the characterization of potential AOPs, through the creation of association networks across these biological entities. Finally, the AOP-DB provides a useful interface between the AOP framework and existing chemical screening and prioritization efforts by the US Environmental Protection Agency.

摘要

毒性作用通路(AOP)框架描述了从分子扰动到人群水平结局的毒性通路进展,这一系列的变化是可测量的、具有机制性的反应。控制的、计算机可读的词汇定义了 AOP,它具有自动、大规模地将 AOP 知识与公共生物高通量数据及其衍生关联进行整合的能力。为了支持潜在(现有)和可能 AOP 的发现和开发,我们引入了 AOP-DB,这是一个探索性数据库资源,它聚合了基因与其相关化学物质、疾病、通路、物种同源信息、本体和基因相互作用之间的关联关系。这些关联是从公共注释数据库中挖掘出来的,并与 AOP 信息集中在 AOP-Wiki 中,允许在多个生物信息领域自动描述潜在和可能的 AOP,在这里称为“生物实体”。AOP-DB 作为一种假设生成工具,通过在这些生物实体之间创建关联网络,来扩展潜在 AOP,并对潜在 AOP 进行特征描述。最后,AOP-DB 为 AOP 框架与美国环境保护署现有的化学筛选和优先级划分工作提供了一个有用的接口。

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