کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
443839 | 692779 | 2008 | 12 صفحه PDF | دانلود رایگان |

Aspartic protease (PR) of HIV-1 virus represents a valid therapeutic target for the design of antiviral agents suitable for treatment of AIDS. We have designed peptidomimetic PR inhibitors containing a novel dihydroxyethylenediamine –Phe-Ψ[CHOH–CHOH]-Pro– core using molecular modelling approach that predicts the inhibitory potencies (IC50pre) in terms of computed relative enzyme–inhibitor complexation Gibbs free energies (ΔΔGcomp). The modelling approach considers not only the enzyme–inhibitor interactions, but includes also the solvent and entropic effects affecting the enzyme inhibition. The objectives of this study were to optimize the number and type of flanking residues that occupy the S3, S2 and S2′, S3′ positions in the PR binding pocket and to select potent lead candidates, which display also favourable ADME-related properties. The structure-based design was combined with a synthetic strategy used to prepare a training set of 10 analogues sharing the –PheΨPro– core. This strategy couples stereochemical control with full flexibility in the choice of the flanking residues and in vitro activity assays. A QSAR model correlating calculated ΔΔGcomp with the measured IC50exp values for the training set was prepared and confirmed that our computational approach can serve for reliable prediction of PR inhibitory potencies of peptidomimetics. The appropriate choice of the flanking residues allowed us to design virtual lead compounds, such as FP14, FP23 and FP76, with reduced molecular weight, predicted inhibitory potencies in the picomolar range, promising ADME profiles and a potential to escape drug resistance due to favourable interactions with the PR backbone.
Lead inhibitor FP23 with predicted IC50pre of 0.01 nM and favourable ADME-related properties. Figure optionsDownload high-quality image (201 K)Download as PowerPoint slide
Journal: Journal of Molecular Graphics and Modelling - Volume 27, Issue 3, October 2008, Pages 376–387