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2000
Volume 2, Issue 4
  • ISSN: 1872-3128
  • E-ISSN: 1874-0758

Abstract

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.

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/content/journals/dml/10.2174/187231208786734102
2008-12-01
2025-09-02
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/content/journals/dml/10.2174/187231208786734102
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