New AI Technique Can Uncover Antiviral Compounds Using Limited Data
Perelman School of Medicine at the University of PennsylvaniaArtificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of hand, foot and mouth disease. The study, published today in Cell Reports Physical Science by researchers at the Perelman School of Medicine at the University of Pennsylvania, showed that reliable antiviral predictions can be made even when only a modest amount of experimental data are available.