Drugs, Active Ingredients and Diseases database. Augmenting the resources for analysis on drugs-illness interaction.

<pre>Quantitative and qualitative data on active-ingredient drug composition are essential information for characterizing near-field 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-classified information at different anatomical levels. Here we present two datasets which contain details of 12,827 drugs, 40,164 diseases, 6,231 active pharmaceutical ingredients and 4,093 side effects. </pre> <pre>These datasets will allow researchers, physicians and pharmacists to evaluate the active substances at an anatomical level, enabling them to infer the range of different active substances and possible side effects on patients with comorbidities. These datasets also contains information about clinical and pharmacological classification, which may be useful for clinical researchers and physicians.</pre>

针对药物活性成分组成的定量与定性数据，是表征近场暴露特征的关键信息。基于活性成分的临床适应症，刻画单种或多种活性成分间的关联关系，同样具有核心意义。然而，开展此类评估需要获取不同解剖学层级上的定量且经过规范分类的信息。本文提供了两个数据集，其中涵盖12827种药物、40164种疾病、6231种活性药用成分（active pharmaceutical ingredients）以及4093种药品不良反应的详细内容。本系列数据集可支持研究人员、医师及药师开展解剖学层级的活性物质评估，助力其推断共病患者所涉及的各类活性物质及潜在不良反应。此外，数据集还包含临床与药理学分类相关信息，可为临床研究人员与医师提供实用支撑。