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，集中式的公开资源 全面，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的新见解 影响疾病。大多数人类疾病涉及遗传因素和环境因素之间的相互作用。 环境在许多常见条件下实施，例如哮喘，癌症和糖尿病。然而， 这些宽度疾病的病因尚不清楚。目前使用了80,000多种化学品 商业，挑战有关作用化学机制和环境优先次序的挑战 研究。需要将各种数据与新的分析方法集成以了解环境 - 疾病关联，对于改善毒性预测，风险评估，调节和 开发有效的治疗干预措施。我们开发了比较毒物学数据库 （CTD; http://ctdbase.org）通过提供对环境 - 疾病连接的理解 描述化学与化学相互作用以及化学和基因酶关系的手动策划数据 从经过同行评审的文献中，将这些数据与精选的外部数据集整合在一起（例如，路径和路径 生物过程数据）和新型数据分析工具。自2004年首次公开发布以来，CTD已成为 具有强大而扩展的用户群的完善资源。该竞争性更新提案 利用并增强现有的CTD框架，并继续我们的传统回应 通过a）增加内容深度来不断发展环境健康研究社区的需求 通过我们的“核心”（化学 - 基因/蛋白质疾病）和暴露数据的全面策划，b） 将某些公共数据集纳入基于机制的环境健康分析， c）开发和整合新颖的分析和可视化工具。这些加法会 通过集中，协调和 情境化信息，以了解潜水员暴露与 受环境影响的疾病。