Transformers in drug discovery: fine-tuning ChemBERTa for high-accuracy prediction of solubility, toxicity and binding affinity
SRM Institute of Science and Technology · National Kaohsiung University of Science and Technology · +5 more institutions
Abstract
No abstract available for this paper.
Citation impact
- FWCI
- 73.98
- Percentile
- 99%
- References
- 39
Authors
6- SASandhya AlagarsamyCorresponding
SRM Institute of Science and Technology, National Kaohsiung University of Science and Technology
- CSChin-Shiuh Shieh
University of Science and Technology, National Taiwan University of Science and Technology, National Kaohsiung University of Science and Technology
- MHMong-Fong Horng
University of Science and Technology, National Taiwan University of Science and Technology, National Kaohsiung University of Science and Technology
- SVSubhashini Vedagiri Radhakrishnan
SRM Institute of Science and Technology, SRM Dental College, Sathyabama Institute of Science and Technology
- SRSethuraman Radhakrishnan
SRM Institute of Science and Technology, SRM Dental College, Sathyabama Institute of Science and Technology
Topics & keywords
- Drug
- Drug discovery
- Transformer
- Artificial neural network
- Clinical trial
- Quantitative structure–activity relationship
- Drug toxicity