Table 7.
A summary of some notable works in accelerating research and drug development to combat the COVID-19 pandemic.
| Research | Application | Methodology | Performance |
|---|---|---|---|
| [155] | Protein structure prediction of the SARS-CoV-2 virus | AlphaFold | No metrics provided |
| [158] | Identification of a potential drug for treatment of COVID-19 patients | BenevolentAI’s knowledge graph | Baricitinib identified as potential medicine |
| [159] | Screening potential drug candidates for COVID-19 | Deep fully connected neural network (DFCNN) | A number of commercially available drugs were screened |
| [160] | Predicting drug-target interaction (DTI) | Deep learning | 3.5% better performance in terms of AUPR compared to the second best method (DTINet) |
| [161] | Identification of potential drug candidates for treatment of COVID-19 | Combination of machine learning and statistical approach | CVL218 identified as a potential drug with an inhibition rate of 35.16% at 3 M concentration |