Drugs, Active Ingredients and Diseases databases, a resource for analysis on diversification of drugs

Quantitative and qualitative data on active-ingredient drug composition are essential information for characterizing near-?eld exposure. Equally as important is the characterization of the relationship between one or many active ingredients in terms of the diseases they are prescribed for. Such evaluations however require quantitative and well-classi?ed information at di?erent levels. Here we present a dataset which comprises public information of 53,475 records, and contains details of 5,739 drugs, 2,318 diseases and 4,679 active pharmaceutical ingredients. The data's primary intended use is for exposure, risk and safety assessments. This dataset will allow researchers, physicians and pharmacists to evaluate the active substances at an anatomical level allowing patients with comorbidities to infer the range of di?erent active substances and possible side e?ects. This dataset also contains information about clinical and pharmacological classi?cation, which may help clinical researchers and physicians to decide the best treatment, informing the patient of the possible risks and in a certain way, for the evaluation of drug quality by pharmarceutical specialists. <br>

关于药物活性成分组合物的定量与定性数据，是表征近距离暴露的关键信息。同等重要的是，针对一种或多种活性成分与其获批治疗的疾病之间的关联进行表征。然而此类评估需要不同层级的定量且经过良好分类的信息。本数据集收录了53475条公开记录，涵盖5739种药物、2318种疾病以及4679种药用活性成分（active pharmaceutical ingredients）的详细信息。该数据集的核心应用场景为暴露、风险与安全性评估。本数据集可助力研究人员、医师与药师从解剖学层面评估活性物质，使合并症患者能够推断其所涉及的各类活性物质范围及潜在不良反应。此外，数据集还包含临床与药理学分类信息，可辅助临床研究人员与医师制定最优治疗方案，向患者告知潜在风险，同时也可在一定程度上供药学专家开展药物质量评估工作。