This study presents a comprehensive virtual screening approach integrating AQVN/EIIP-based filtering and ligand-based pharmacophore modeling to identify histamine H1 receptor antagonists with potential anti-influenza activity, simultaneously building on previously established criteria for screening influenza inhibitors targeting viral proteins such as M2, NS1, and hemagglutinin (HA) [22,23]. This evidence concerns the gene HRH1 and influenza.