| Literature DB >> 16250669 |
Maria Letizia Barreca1, Stefania Ferro, Angela Rao, Laura De Luca, Maria Zappalà, Anna-Maria Monforte, Zeger Debyser, Myriam Witvrouw, Alba Chimirri.
Abstract
Using a training set of diketo-like acid HIV-1 integrase (IN) strand-transfer inhibitors, a 3D pharmacophore model was derived having quantitative predictive ability in terms of activity. The best statistical hypothesis consisted of four features (one hydrophobic aromatic region, two hydrogen-bond acceptors, and one hydrogen-bond donor) with r of 0.96. The resulting pharmacophore model guided the rational design of benzylindoles as new potent IN inhibitors, whose microwave-assisted synthesis and biological evaluation are reported.Entities:
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Year: 2005 PMID: 16250669 DOI: 10.1021/jm050549e
Source DB: PubMed Journal: J Med Chem ISSN: 0022-2623 Impact factor: 7.446