A Systematic Review on Artificial Intelligence (AI) Assisted Drug and Vaccine Development against SARS-CoV-2
Vishal Singha, Suvendu Ghosh, Partha Sarathi Singha, Sutapa Datta, Debosree Ghosh · Coronaviruses · 2024
Background: Adaptation and application of Artificial Intelligence (AI) technology for the development of drugs against the deadly and continuously mutating Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus has been extremely beneficial, cost-effective, and time saving for the scientific community. A systematic review is necessary for complete picturization of the overall AI assistance in developing drugs and vaccines against SARS-CoV-2. Materials and Methods: A systematic analysis and review of the research literature available on the application of AI in the development of drugs and vaccines against SARS-CoV-2 from various online platforms has been performed, and relevant full papers have been selected on certain selection criteria and have been used for this review. Results: Utilization of AI tools has enabled the selection, modification, evaluation, and prediction of the effectiveness of drug formulations against coronavirus disease (COVID-19) in a very rapid and efficient manner. Vaccine development against the deadly SARS-CoV-2 virus has also been aided and benefited immensely by using AI tools and techniques. Discussion: Thousands of studies regarding the development of effective drugs and vaccines against the constantly evolving, mutating, and prevailing SARS-CoV-2 virus have been conducted, and several thousands are still being conducted around the world. Conclusion: AI is a powerful tool, and its application has been highly beneficial in developing effective drugs and vaccines against the deadly SARS-CoV-2 in a cost-effective and time-effective frame. This systematic review briefs the findings and achievements till the date of writing this article in the field of AI-assisted drug and vaccine development against COVID-19.