Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR
University of North Carolina at Chapel Hill · Carnegie Mellon University · +5 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
318
total citations
- FWCI
- 60.12
- Percentile
- 100%
- References
- 174
Citations per year
Authors
5- ATAlexander TropshaCorresponding
University of North Carolina at Chapel Hill
- OIOlexandr Isayev
Carnegie Mellon University
- AVAlexandre Varnek
Université de Strasbourg
- GSGisbert Schneider
ETH Zurich
- ACArtem CherkasovCorresponding
University of British Columbia Hospital, University of British Columbia, Coquitlam College
Topics & keywords
Topics
Keywords
- Quantitative structure–activity relationship
- Deep learning
- Artificial intelligence
- Computer science
- Drug discovery
- Field (mathematics)
- Virtual screening
- Machine learning
No related works found for this paper.