Drug repurposing for COVID-19 using graph neural network and harmonizing multiple evidence

Abstract
Since the 2019 novel coronavirus disease (COVID-19) outbreak in 2019 and the pandemic continues for more than one year, a vast amount of drug research has been conducted and few of them got FDA approval. Our objective is to prioritize repurposable drugs using a pipeline that systematically integrates the interaction between COVID-19 and drugs, deep graph neural networks, and in vitro/population-based validations.

Read the source article at Nature
2021-11-30 00:00:00