Aggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System.

Aggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System.
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DOI:
10.3390/ijms13021805
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发表时间:
2012
影响因子:
5.6
通讯作者:
Richard AM
Richard AM
中科院分区:
生物学2区
文献类型:
--
作者:
Judson RS;Martin MT;Egeghy P;Gangwal S;Reif DM;Kothiya P;Wolf M;Cathey T;Transue T;Smith D;Vail J;Frame A;Mosher S;Hubal EAC;Richard AM

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计算毒理学结合了来自高通量测试方法、化学结构分析和其他生物领域(例如基因、蛋白质、细胞、组织)的数据,其目标是预测和理解化学毒性的潜在机制原因以及预测新化学品和产品的毒性。此类方法的一个关键特征是它们依赖于从可计算格式的大量数据和数据集中提取的知识。美国环境保护局 (EPA) 开发了名为 ACToR(聚合计算毒理学资源)的大型数据资源来支持这些数据密集型工作。 ACToR 包含四个主要存储库:核心 ACToR(化学标识符和结构,以及有关危害、暴露、使用和其他领域的摘要数据)、ToxRefDB(毒性参考数据库,来自指南研究的详细体内毒性数据的汇编)、ExpoCastDB(来自选定化学品观察研究的详细人体暴露数据)和 ToxCastDB(来自高通量筛选计划的数据,包括与基因和途径相关的基础生物信息的链接)。 EPA DSSTox(分布式结构可搜索毒性)计划为这些和其他备受关注的公共清单提供经过专家审查的化学结构和相关信息。总体而言,ACToR 系统包含来自 1100 个不同来源的约 400,000 种化学品的信息。整个系统是使用开源工具构建的,并且可以免费下载。此评论描述了数据存储库的组织并提供了选定的用例示例。
Computational toxicology combines data from high-throughput test methods, chemical structure analyses and other biological domains (e.g., genes, proteins, cells, tissues) with the goals of predicting and understanding the underlying mechanistic causes of chemical toxicity and for predicting toxicity of new chemicals and products. A key feature of such approaches is their reliance on knowledge extracted from large collections of data and data sets in computable formats. The U.S. Environmental Protection Agency (EPA) has developed a large data resource called ACToR (Aggregated Computational Toxicology Resource) to support these data-intensive efforts. ACToR comprises four main repositories: core ACToR (chemical identifiers and structures, and summary data on hazard, exposure, use, and other domains), ToxRefDB (Toxicity Reference Database, a compilation of detailed in vivo toxicity data from guideline studies), ExpoCastDB (detailed human exposure data from observational studies of selected chemicals), and ToxCastDB (data from high-throughput screening programs, including links to underlying biological information related to genes and pathways). The EPA DSSTox (Distributed Structure-Searchable Toxicity) program provides expert-reviewed chemical structures and associated information for these and other high-interest public inventories. Overall, the ACToR system contains information on about 400,000 chemicals from 1100 different sources. The entire system is built using open source tools and is freely available to download. This review describes the organization of the data repository and provides selected examples of use cases.
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