To study a series of derivatives of 4-Benzylpyridinone with inhibition activity on inverse transcriptase of HIV-1 using computational tools and bioinformatics. A Linear Regression Model (LRM) associated that anti-HIV-1 activity was obtained. This model was correlated with charge on nitrogen atom at the position 3 of 4-BP structure and the total energy of molecule. The LRM was statistically significant with p-value < 0.001, R2 = 0.9006, and a cross validation coefficient of R2cross = 0.8482. A discriminating analysis classified the molecules as active and inactive with high predictive power. In addition, six new molecules based on theoretical analysis were proposed as anti- HIV-1 activity candidate to be synthesized. An equation model that relates the anti-HIV-1 activities of molecules studied was obtained. This model depends basically of two molecular descriptors, the charge on the nitrogen atom in the position 3 and total energy. The charge on the nitrogen atom descriptor gives us an idea of more active site of the molecule while the energy is related with on overall stability of the molecule.
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