name: PharmKG
description: PharmKG is a multi-relational, attributed biomedical knowledge graph benchmark that integrates curated databases and literature-derived relationships to link genes, drugs (chemicals), and diseases. It contains ~500,000 typed relations across ~7,600–8,000 disambiguated entities (29 relation types), with domain-specific features for entities from multi-omics sources (e.g., gene expression, chemical structure, disease embeddings). It provides baselines for knowledge graph embedding and a neural network-based method, and supports downstream tasks such as drug repurposing and target identification.
contacts: [{"category": "Organization", "contact_details": [{"contact_type": "github", "value": "MindRank-Biotech"}, {"contact_type": "url", "value": "https://github.com/MindRank-Biotech/PharmKG"}], "label": "MindRank Biotech"}]
products: [{"category": "GraphProduct", "description": "Cleaned benchmark graph (PharmKG-8k) with typed relations between genes, chemicals, and diseases", "edge_count": 500958, "id": "pharmkg.graph", "name": "PharmKG graph", "node_count": 7603, "original_source": ["omim", "drugbank", "pharmgkb", "ttd", "sider", "humannet", "ncbigene", "mesh", "pubchem", "gnbr", "biogps", "connectivitymap"], "product_url": "https://zenodo.org/record/4077338", "secondary_source": ["pharmkg"]}]
raw_data: {"activity_status": "active", "category": "KnowledgeGraph", "contacts": [{"category": "Organization", "contact_details": [{"contact_type": "github", "value": "MindRank-Biotech"}, {"contact_type": "url", "value": "https://github.com/MindRank-Biotech/PharmKG"}], "label": "MindRank Biotech"}], "description": "PharmKG is a multi-relational, attributed biomedical knowledge graph benchmark that integrates curated databases and literature-derived relationships to link genes, drugs (chemicals), and diseases. It contains ~500,000 typed relations across ~7,600\u20138,000 disambiguated entities (29 relation types), with domain-specific features for entities from multi-omics sources (e.g., gene expression, chemical structure, disease embeddings). It provides baselines for knowledge graph embedding and a neural network-based method, and supports downstream tasks such as drug repurposing and target identification.", "domains": ["biomedical", "drug discovery", "pharmacology", "health"], "evaluation_page": "resource/pharmkg/pharmkg_eval.html", "homepage_url": "https://github.com/MindRank-Biotech/PharmKG", "id": "pharmkg", "layout": "resource_detail", "name": "PharmKG", "products": [{"category": "GraphProduct", "description": "Cleaned benchmark graph (PharmKG-8k) with typed relations between genes, chemicals, and diseases", "edge_count": 500958, "id": "pharmkg.graph", "name": "PharmKG graph", "node_count": 7603, "original_source": ["omim", "drugbank", "pharmgkb", "ttd", "sider", "humannet", "ncbigene", "mesh", "pubchem", "gnbr", "biogps", "connectivitymap"], "product_url": "https://zenodo.org/record/4077338", "secondary_source": ["pharmkg"]}], "publications": [{"authors": ["Shuangjia Zheng", "Jiahua Rao", "Ying Song", "Jixian Zhang", "Xianglu Xiao", "Evandro Fei Fang", "Yuedong Yang", "Zhangming Niu"], "doi": "10.1093/bib/bbaa344", "id": "doi:10.1093/bib/bbaa344", "journal": "Briefings in Bioinformatics", "title": "PharmKG: a dedicated knowledge graph benchmark for biomedical data mining", "year": "2021"}], "repository": "https://github.com/MindRank-Biotech/PharmKG"}