The Influenza Antiviral Drug Search was a distributed computing project that was running on the BOINC platform. It is a project of the University of Texas Medical Branch.
The Influenza Antiviral Drug Search conducted millions of virtual docking experiments in order to discover compounds that may be suitable for real-world clinical trials to combat new or drug resistant strains of influenza virus.
One vulnerability of all influenza strains is that they need viral neuraminidase, NS1 Influenza Protein and hemagglutinin in order to infect a body. A chemical compound that can disable one of these molecules has the potential to be an effective antiviral drug.
This computing article is a stub. You can help Wikipedia by expanding it.