New workflow predicts drug targets against SARS-CoV-2 via metabolic changes in infected cells
by Nantia Leonidou, Alina Renz, Reihaneh Mostolizadeh, Andreas Dräger
COVID-19 is one of the deadliest respiratory diseases, and its emergence caught the pharmaceutical industry off guard. While vaccines have been rapidly developed, treatment options for infected people remain scarce, and COVID-19 poses a substantial global threat. This study presents a novel workflow to predict robust druggable targets against emerging RNA viruses using metabolic networks and information of the viral structure and its genome sequence. Читать дальше...