Comparative Toxicogenomics Database (CTD)

比较毒理基因组学数据库 (CTD)

• 批准号: 10017490
• 负责人: Allan Peter Davis
• 金额: $ 36.87万
• 依托单位: NORTH CAROLINA STATE UNIVERSITY RALEIGH
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-18 至 2022-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10017490
• 关键词: Affect; Asthma; Biological Process; Biology; Chemicals; Commerce; Communities; Complex; Computer software; Data; Data Analyses; Data Set; Data Sources; Databases; Development; Diabetes Mellitus; Disease; Ensure; Environment; Environmental Exposure; Environmental Health; Environmental Risk Factor; Etiology; Feedback; Gene Proteins; Genes; Genetic; Health; Human; Imagery; Infrastructure; Malignant Neoplasms; Manuals; Modeling; Molecular Target; Pathway Analysis; Pathway interactions; Peer Review; Regulation; Research; Resources; Review Literature; Risk Assessment; Source; Structure; System; Therapeutic Intervention; Toxic effect; Toxicogenomics; Toxicology; Treatment Efficacy; Visualization software; Widespread Disease; adverse outcome; analytical tool; base; comparative; design; exposed human population; gene interaction; high throughput screening; human disease; improved; insight; interoperability; novel; programs; response; source localization; text searching; tool

Our objective is to provide an unparalleled, centralized, publicly available resource with comprehensive, expertly annotated data, and analysis tools that informs design and interpretation of environmental health studies and promotes novel insights into the etiologies of environmentally influenced diseases. Most human diseases involve interactions between genetic and environmental factors. The environment is implicated in many common conditions such as asthma, cancer, and diabetes; however, the etiology of these widespread diseases remains unclear. More than 80,000 chemicals are currently used in commerce, challenging elucidation about chemical mechanisms of action and prioritization of environmental research. Integration of diverse data with novel analysis approaches is required to understand environment- disease associations and is essential for improving toxicity prediction, risk assessment, regulation and development of effective therapeutic interventions. We developed the Comparative Toxicogenomics Database (CTD; http://ctdbase.org) to enhance understanding about environment-disease connections by providing manually curated data describing chemical-gene interactions and chemical- and gene-disease relationships from the peer-reviewed literature and integrating these data with select external data sets (e.g., pathways and biological process data) and novel data analysis tools. Since its initial public release in 2004, CTD has become a well-established resource with a strong and expanding user base. This competitive renewal proposes to leverage and enhance the existing CTD framework, and continue our tradition of responding to the evolving needs of the environmental health research community by a) increasing the depth of content through comprehensive curation of our “core” (chemical-gene/protein-disease) and exposure data, b) incorporating select public data sets to augment mechanism-based environmental health analyses, and c) developing and integrating novel analytical and visualization tools. These additions will significantly increase the impact of CTD on environmental health research by centralizing, harmonizing, and contextualizing information required to understand the complex relationships between diverse exposures and environmentally influenced diseases.

我们的目标是提供无与伦比的、集中的、公开可用的资源 全面、经过专业注释的数据和分析工具，可为设计和解释提供信息 环境健康研究并促进对环境病因学的新见解 影响疾病。大多数人类疾病都涉及遗传因素和环境因素之间的相互作用。 环境与许多常见疾病有关，例如哮喘、癌症和糖尿病；然而， 这些广泛传播的疾病的病因仍不清楚。目前使用超过 80,000 种化学品 商业，对化学作用机制和环境优先顺序的阐明具有挑战性 研究。要了解环境，需要将不同的数据与新颖的分析方法相结合 疾病关联，对于改善毒性预测、风险评估、监管和 制定有效的治疗干预措施。我们开发了比较毒理基因组学数据库 （CTD；http://ctdbase.org）通过提供 手动整理的数据描述化学-基因相互作用以及化学-和基因-疾病关系 来自同行评审的文献，并将这些数据与选定的外部数据集（例如路径和 生物过程数据）和新颖的数据分析工具。自 2004 年首次公开发布以来，CTD 已成为 一个完善的资源，拥有强大且不断扩大的用户群。此次竞争性更新提议 利用和加强现有的 CTD 框架，并继续我们响应的传统 通过 a) 增加内容的深度来满足环境健康研究界不断变化的需求 通过全面管理我们的“核心”（化学基因/蛋白质疾病）和暴露数据，b) 纳入选定的公共数据集以增强基于机制的环境健康分析， c) 开发和集成新颖的分析和可视化工具。这些补充将 通过集中、协调和协调，显着提高 CTD 对环境健康研究的影响 将理解不同风险之间复杂关系所需的信息结合起来 受环境影响的疾病。