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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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Published in: | Journal of the American Chemical Society 2006-12, Vol.128 (48), p.15372-15373 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 0002-7863 1520-5126 |
DOI: | 10.1021/ja066472g |