Researchers from the University of Washington have used sequence function maps generated using deep sequencing to improve two in silico-designed influenza inhibitors so that they can better fight different virus strains.

The research team has combined computational drug design and sequencing to optimize two neutralizing antibodies — HB80.3 and HB36.4 — that bind to a portion of the hemagglutinin protein on the surface of influenza viruses.

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