Davis Allan Peter, Wiegers Jolene, Wiegers Thomas C, Mattingly Carolyn J
Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, United States.
Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina 27695, United States.
Curr Opin Toxicol. 2019 Aug;16:17-24. doi: 10.1016/j.cotox.2019.03.002. Epub 2019 Mar 11.
Public databases provide a wealth of freely available information about chemicals, genes, proteins, biological networks, phenotypes, diseases, and exposure science that can be integrated to construct pathways for systems toxicology applications. Relating this disparate information from public repositories, however, can be challenging since databases use a variety of ways to represent, describe, and make available their content. The use of standard vocabularies to annotate key data concepts, however, allows the information to be more easily exchanged and combined for discovery of new findings. We explore some of the many public data sources currently available to support systems toxicology, and demonstrate the value of standardizing data to help construct chemical-induced outcome pathways.
公共数据库提供了大量有关化学物质、基因、蛋白质、生物网络、表型、疾病和暴露科学的免费信息，这些信息可整合起来构建用于系统毒理学应用的途径。然而，将来自公共存储库的这些不同信息联系起来可能具有挑战性，因为数据库使用多种方式来表示、描述和提供其内容。然而，使用标准词汇表注释关键数据概念可以使信息更易于交换和组合，以发现新的研究结果。我们探索了目前可用于支持系统毒理学的众多公共数据源中的一些，并展示了数据标准化对于帮助构建化学物质诱导的结果途径的价值。
