Knowledge graphs and their applications in drug discovery.

Journal: Expert opinion on drug discovery
Published Date:

Abstract

INTRODUCTION: Knowledge graphs have proven to be promising systems of information storage and retrieval. Due to the recent explosion of heterogeneous multimodal data sources generated in the biomedical domain, and an industry shift toward a systems biology approach, knowledge graphs have emerged as attractive methods of data storage and hypothesis generation.

Authors

  • Finlay MacLean
    Target Identification., BenevolentAI, United Kingdom of Great Britain and Northern Ireland.