PrimeKG

Here, we present the Precision Medicine Knowledge Graph (PrimeKG). This resource provides a holistic view of diseases. We have integrated 20 high-quality datasets, biorepositories and ontologies to curate this knowledge graph. PrimeKG systematically captures information about 17,080 diseases with 4,050,249 relationships representing various major biological scales, including diseases, drugs, genes, proteins, exposures, phenotypes, drug side effects, molecular functions, cellular components, biological processes, anatomical regions, and pathways. Disease nodes in our multi-relational knowledge graph are densely connected to every other node type. PrimeKG's rich graph structure is supplemented with textual descriptions of clinical guidelines for drug and disease nodes to enable multi-modal disease exploration. To get started with using PrimeKG, please explore our project website: https://zitniklab.hms.harvard.edu/projects/PrimeKG/

本研究发布精准医学知识图谱（Precision Medicine Knowledge Graph，PrimeKG）。该资源可提供疾病领域的全景视角。我们通过整合20个高质量数据集、生物样本库与本体知识库，完成了该知识图谱的编目构建。PrimeKG系统性收录了17080种疾病的相关信息，包含4050249条关联关系，覆盖疾病、药物、基因、蛋白质、暴露因素、表型、药物不良反应、分子功能、细胞组分、生物过程、解剖部位以及信号通路等多个核心生物尺度。在该多关系知识图谱中，疾病节点与其他所有类型的节点均存在密集连接。PrimeKG丰富的图谱结构还补充了针对药物与疾病节点的临床指南文本描述，以支持多模态疾病探索研究。若需了解PrimeKG的使用方法，可访问本项目官网：https://zitniklab.hms.harvard.edu/projects/PrimeKG/