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• W2077557314 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." @default.
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• W2077557314 date "2005-10-06" @default.
• W2077557314 modified "2023-10-14" @default.
• W2077557314 title "Pharmacophore-Based Design of HIV-1 Integrase Strand-Transfer Inhibitors" @default.
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• W2077557314 doi "https://doi.org/10.1021/jm050549e" @default.
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