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FEP-Guided Selection of Bicyclic Heterocycles in Lead Optimization for Non-Nucleoside Inhibitors of HIV-1 Reverse Transcriptase

Monte Carlo simulations using free energy perturbation theory have been used to guide the selection of bicyclic heterocycles in the lead optimization of non-nucleoside inhibitors of HIV-1 reverse transcriptase (NNRTIs). Good correlation is found between predicted and observed activities. Six compoun...

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Bibliographic Details
Published in:Journal of the American Chemical Society 2006-12, Vol.128 (48), p.15372-15373
Main Authors: Kim, Joseph T, Hamilton, Andrew D, Bailey, Christopher M, Domoal, Robert A, Wang, Ligong, Anderson, Karen S, Jorgensen, William L
Format: Article
Language:English
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Summary:Monte Carlo simulations using free energy perturbation theory have been used to guide the selection of bicyclic heterocycles in the lead optimization of non-nucleoside inhibitors of HIV-1 reverse transcriptase (NNRTIs). Good correlation is found between predicted and observed activities. Six compounds are reported with EC50 values below 20 nM for protection of human MT-2 cells against the cytopathogenicity of HIV-1. Striking variation in activity is found and analyzed for an isomeric pyrrolopyrimidine and pyrrolopyrazine pair.
ISSN:0002-7863
1520-5126
DOI:10.1021/ja066472g