A review of biomedical datasets relating to drug discovery: a knowledge graph perspective

• Published in: Briefings in bioinformatics Vol. 23; no. 6
• Main Authors: Bonner, Stephen, Barrett, Ian P, Ye, Cheng, Swiers, Rowan, Engkvist, Ola, Bender, Andreas, Hoyt, Charles Tapley, Hamilton, William L
• Format: Journal Article
• Language: English
• Published: England 19.11.2022
• Subjects: disease-gene prediction; Drug Discovery; drug-target discovery; Information Storage and Retrieval; Knowledge; knowledge graph embeddings; Machine Learning; Pattern Recognition, Automated; drug–target discovery; knowledge graph embeddings; disease–gene prediction

Drug discovery and development is a complex and costly process. Machine learning approaches are being investigated to help improve the effectiveness and speed of multiple stages of the drug discovery pipeline. Of these, those that use Knowledge Graphs (KG) have promise in many tasks, including drug...