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Virtual screening docking-based approach has been employed in order to select novel HIV-1 integrase (IN) potential inhibitors in large databases. Toxicity, metabolism and drug-like properties have been analyzed for the most promising compounds, using computational chemistry techniques. Results were compared and discussed with that obtained for a known HIV-1 (IN) inhibitor reported in the literature.