Computational modelling studies of some 1,3-thiazine derivatives as anti-influenza inhibitors targeting H1N1 neuraminidase via 2D-QSAR, 3D-QSAR, molecular docking, and ADMET predictions.
Mustapha AbdullahiAdamu UzairuGideon Adamu ShallangwaPaul Andrew MamzaMuhammad Tukur IbrahimPublished in: Beni-Suef University journal of basic and applied sciences (2022)
The drug-likeness and ADMET predictions of the lead compounds revealed non-violation of Lipinski's rule and good pharmacokinetic profiles as important guidelines for rational drug design. Hence, the outcome of this research set a course for the in silico design and exploration of novel NA inhibitors with improved potency.