Drug Vocabulary
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DrugBank is the intelligence operating system (OS) built for drug discovery and development. Our mission is to ensure biomedical data and commercial insight is connected and used to its fullest potential, empowering biopharma to bring life-changing therapies to patients faster. Using both AI and expert curation, we’ve crafted the most trusted, comprehensive drug knowledgebase to draw fast, defensible, and contextualized insights. We offer AI and machine learning-ready datasets for download that are packaged to serve your unique needs. This dataset includes normalized mappings between DrugBank identifiers, names, synonyms, and chemical structure identifiers. This includes the primary DrugBank accession number (often integrated into EMRs and drug biomedical databases such as PubChem), and a unique chemical structure identifier (InChI Key) that enables mapping to internal drug databases. Additionally, it includes curated names/synonyms for drugs, a useful entry point to normalizing the different names that can be used for a drug, depending on context. The data is internally curated at DrugBank (for IDs, names, and synonyms), and is also automatically generated by internal tools (for chemical structure identifiers). This database can be used for normalizing your existing data, crosswalks between different resources, and validating your existing data for quality and completeness. DrugBank identifiers are integrated into thousands of resources (including resources from the FDA, NIH, and EBI) and are a common way of referring to a drug. By linking into this dataset, you can efficiently utilize the wider ecosystem of drug and drug protein information. Tables include: - The main list of drug entries - Names/synonyms linked to drug entries - Secondary DrugBank identifiers linked to drug entries Fields include: - Primary DrugBank ID - Common drug name - Standard InChI Key - Drug names/synonyms
DrugBank是为药物发现与开发打造的智能操作系统(Intelligence Operating System, OS)。我们的使命是实现生物医学数据与商业洞察的互联互通,充分释放其应用潜力,助力生物制药企业更快地为患者带来改变生命的治疗方案。我们结合人工智能(Artificial Intelligence, AI)与专家人工编审,打造了最具公信力、覆盖最全面的药物知识库,可快速输出严谨可信且贴合场景的定制化洞察。我们提供可直接适配人工智能与机器学习流程的可下载数据集,封装以满足您的个性化需求。 本数据集包含DrugBank标识符、药物名称、同义词与化学结构标识符之间的标准化映射关系。其中涵盖了DrugBank官方主登录号(常集成于电子病历(Electronic Medical Records, EMRs)以及PubChem等药物生物医学数据库中),以及可映射至内部药物数据库的唯一化学结构标识符InChI Key。此外,数据集还包含经人工编审的药物名称与同义词,可作为标准化不同场景下药物各类称谓的有效入口。本数据集的标识符、名称与同义词均由DrugBank内部团队人工编审,化学结构标识符则由内部工具自动生成。 该数据库可用于现有数据的标准化处理、不同资源间的跨库对照,以及对现有数据的质量与完整性进行验证。DrugBank标识符已被集成至数千个资源平台(包括FDA、NIH及EBI旗下的相关资源),是药物标识的通用标准。通过接入本数据集,您可高效利用更广泛的药物与药物-蛋白质信息生态系统。 包含以下数据表: - 药物条目主列表 - 关联至药物条目的名称与同义词表 - 关联至药物条目的次要DrugBank标识符表 包含以下字段: - DrugBank主标识符 - 常用药物名称 - 标准InChI Key - 药物名称与同义词




