Abstract

In this study, we used our own prediction models to assess the antiviral potential of pyrimidin-4(3H)-one derivatives against the A/H1N1 influenza virus strain. This assessment allows us to identify promising structures. The models are based on machine learning algorithms and molecular modeling results. In general, the prediction results are consistent with experimental data. The most promising compound, namely 12 (6-amino-2-(dimethylamino)pyrimidin-4(3H)-one), inhibits the reproduction of the A/Puerto Rico/8/34 (H1N1) influenza virus strain in vitro, likely by affecting the function of the endonuclease domain of the viral polymerase complex. Compound 12 can be used to create new PAN inhibitors by modifying its structure.

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