From: Linked open drug data for pharmaceutical research and development
Name | Short Description | Size and coverage (rounded) | Sources | Provider (1. original dataset, 2. RDF version of dataset) |
---|---|---|---|---|
DrugBank | Chemical, pharmacological and pharmaceutical drug data; data about drug targets (e.g., sequences, structure, pathways) | 767,000 triples; 4,800 drugs, 2,500 protein sequences | Aggregated from various biomedical and pharmaceutical databases | 1. University of Alberta 2. Free University of Berlin |
ClinicalTrials.gov/LinkedCT | Information about clinical trials | 9.8 million triples, 80,000 trials | Data submitted by study sponsors or their representatives | 1. US National Institute of Health 2. LinkedCT.org; University of Toronto |
DailyMed | Information about approved prescription drugs, including FDA approved labels (package inserts) | 164,000 triples; 4,000 drugs | Package inserts, data from the US food and drug administration (FDA) | 1. US National Library of Medicine 2. Free University of Berlin |
ChEMBL | Information on drugs, e.g., activity against drug targets such as proteins, chemical properties. Linked to primary literature | 24 million triples; 8000 drug targets, 660,000 compounds | Aggregated from various biomedical and pharmaceutical databases | 1. European Bioinformatics Institute 2. Uppsala University |
Diseasome | Characteristics of disorders and disease genes linked by known disease-gene associations | 91,000 triples; 2,600 genes | Generated from data in Online Mendelian Inheritance in Man (OMIM) | 1. Consortium of several labs 2. Free University of Berlin |
TCMGeneDIT/RDF-TCM | Gene-disease-drug associations mined from literature about Chinese medicine | 117,000 triples | Mined from research articles | 1. National Taiwan University 2. Oxford University |
RxNorm | Prescription drugs, their ingredients, and national drug codes | 7.7 million triples; 166,000 unique drugs and ingredients | FDA databases | 1. US National Library of Medicine 2. Stony Brook School of Medicine |
UMLS | Unified Medical Language System (UMLS) sources available without restrictions | 55 million triples | Ontologies created by third parties | 1. US National Library of Medicine 2. Stony Brook School of Medicine |
SIDER | Reported adverse effects of marketed drugs | 193,000 triples; 63,000 adverse effect reports | Mined package inserts | 1. European Molecular Biology Laboratory, Heidelberg 2. Free University of Berlin |
STITCH | Molecular interactions between chemicals and proteins | 7.5 million chemicals, 500,000 proteins, 370 organisms | Aggregated from various biomedical and pharmaceutical databases | 1. European Molecular Biology Laboratory, Heidelberg 2. Free University of Berlin |
Medicare | The Medicare formulary | 44,500 triples; 6800 drugs | Primary data | 1. US Government 2. Free University of Berlin |
WHO Global Health Observatory | Data and statistics for infectious diseases at country, regional, and global levels. | 354,000 triples | Primary data collected by the World Health Organization | 1. World Health Organization 2. Leipzig University |