In-silico prediction of effective drug combinations for the treatment of SARS-CoV-2 infection

By | July 30, 2021
A new study published on the bioRxiv preprint server has developed the first computational model, i.e., a signaling network model, that can predict effective repurposed drug combinations to treat different phases of COVID-19 disease. This study has focused on identifying drugs for the treatment of early- and late-stage severe disease.