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Efficient 3D database screening for novel HIV-1 IN inhibitors
Authors:Barreca Maria Letizia  Rao Angela  De Luca Laura  Zappalà Maria  Gurnari Cristina  Monforte Pietro  De Clercq Erik  Van Maele Bénédicte  Debyser Zeger  Witvrouw Myriam  Briggs James M  Chimirri Alba
Affiliation:Dipartimento Farmaco-Chimico, Università di Messina, Viale Annunziata, 98168 Messina, Italy. barreca@pharma.unime.it
Abstract:We describe the use of pharmacophore modeling as an efficient tool in the discovery of novel HIV-1 integrase (IN) inhibitors. A three-dimensional hypothetical model for the binding of diketo acid analogues to the enzyme was built by means of the Catalyst program. Using these models as a query for virtual screening, we found several compounds that contain the specified 3D patterns of chemical functions. Biological testing shows that our strategy was successful in searching for new structural leads as HIV-1 IN inhibitors.
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