Table 3.
AI/ML based studies on COVID-19 vaccine design
AI/ML tools | Details | Website URL | References |
---|---|---|---|
Artificial neural network | Identification of SARS-CoV-2 T-cell and B-cell epitopes based on viral protein antigen presentation and antibody binding properties | NA | [70] |
XGBoost | Prediction of vaccine candidates from non-structural proteins | NA | [71] |
Feed-forward neural network | Prediction of HLA-binding peptides from SARS-CoV-2 virus by binding stability | NA | [72] |
Deep neural network | Prediction and design of multi-epitope vaccine that can manage with the mutation of the virus | https://github.com/zikunyang/DCVST | [73] |