Ontological Representation and Machine Learning Prediction of Drugs for COVID-19 Treatment
Background: SARS-CoV-2 is a human coronavirus that has caused COVID-19 and is able to rapidly mutate and spread throughout the world. While the usage of COVID-19 vaccines has drastically reduced illness, new variants of the virus continue to show up and reduce vaccination efficiency. Given the continuous spreading of the disease, effective drugs for treating COVID-19 are urgently needed; however, very effective drugs for COVID-19 have not yet been approved for public use. Drug repurposing is a strategy to discover new uses for thousands of approved drugs previously used for other illnesses. It is possible to use the drug repurposing strategy to find drugs for effective COVID-19 treatment. This study aims to analyze drugs and their effects on the human body to further predict effective drugs for COVID-19 using machine learning algorithms.