This paper describes the use of the multivariate statistical procedure principal component analysis as a tool to explore the inhibitory activity of classes of protease inhibitors (PIs) against HIV-1 viruses (wild type and more-frequent single mutants, V82A, V82F, and I84V) and against protease enzymes. The analysis of correlations between biological activity and molecular descriptors or similarity indexes allowed a reliable classification of the 51 derivatives considered in this study. The best results were obtained in the case of the I84V mutant for which a high number of predictions was achieved. On this basis, this statistical approach is proposed as a reliable method for the prediction of the activity of PIs, for which the data against mutant strains have not been reported.
['Anna Maria Almerico', 'Marco Tutone', 'Antonino Lauria', 'Patrizia Diana', 'Paola Barraja', 'Alessandra Montalbano', 'Girolamo Cirrincione', 'Gaetano Dattolo']
A multivariate analysis of HIV-1 protease inhibitors and resistance induced by mutation.