Artificial intelligence in COVID-19 drug repurposing
Cleveland Clinic Lerner College of Medicine · Cornell University · +7 more institutions
Abstract
Drug repurposing or repositioning is a technique whereby existing drugs are used to treat emerging and challenging diseases, including COVID-19. Drug repurposing has become a promising approach because of the opportunity for reduced development timelines and overall costs. In the big data era, artificial intelligence (AI) and network medicine offer cutting-edge application of information science to defining disease, medicine, therapeutics, and identifying targets with the least error. In this Review, we introduce guidelines on how to use AI for accelerating drug repurposing or repositioning, for which AI approaches are not just formidable but are also necessary. We discuss how to use AI models in precision…
Citation impact
- FWCI
- 68.50
- Percentile
- 100%
- References
- 104
Authors
5- YZYadi ZhouCorresponding
Cleveland Clinic Lerner College of Medicine
- FWFei Wang
Cornell University
- JTJian Tang
HEC Montréal, Mila - Quebec Artificial Intelligence Institute
- RNRuth Nussinov
Leidos (United States), Tel Aviv University, Frederick National Laboratory for Cancer Research, National Cancer Institute
- FCFeixiong Cheng
Cleveland Clinic Lerner College of Medicine, Case Western Reserve University
Topics & keywords
- Repurposing
- Drug repositioning
- Timeline
- Coronavirus disease 2019 (COVID-19)
- Computer science
- Big data
- Precision medicine
- Data science
Funding
- NSNational Science FoundationAwards: 2027970, 1750326, HHSN261200800001E
- CCCleveland Clinic
- FNFrederick National Laboratory for Cancer ResearchAward: HHSN261200800001E
- NINational Institutes of HealthAwards: R01AG066707, HHSN261200800001E, COVID-19, R00HL138272
- NHNational Heart, Lung, and Blood InstituteAwards: R00HL138272, HHSN261200800001E
- OOOffice of Naval ResearchAwards: N00014-18-1-2585, N00014