Literature DB >> 11008119

Structure-based drug design of non-nucleoside inhibitors for wild-type and drug-resistant HIV reverse transcriptase.

C Mao1, E A Sudbeck, T K Venkatachalam, F M Uckun.   

Abstract

The generation of anti-HIV agents using structure-based drug design methods has yielded a number of promising non-nucleoside inhibitors (NNIs) of HIV reverse transcriptase (RT). Recent successes in identifying potent NNIs are reviewed with an emphasis on the recent trend of utilizing a computer model of HIV RT to identify space in the NNI binding pocket that can be exploited by carefully chosen functional groups predicted to interact favorably with binding pocket residues. The NNI binding pocket model was used to design potent NNIs against both wild-type RT and drug-resistant RT mutants. Molecular modeling and score functions were used to analyze how drug-resistant mutations would change the RT binding pocket shape, volume, and chemical make-up, and how these changes could affect inhibitor binding. Modeling studies revealed that for an NNI of HIV RT to be active against RT mutants such as the especially problematic Y181C RT mutant, the following features are required: (a) the inhibitor should be highly potent against wild-type RT and therefore capable of tolerating a considerable activity loss against RT mutants (i.e. a picomolar-level inhibitor against wild-type RT may still be effective against RT mutants at nanomolar concentrations), (b) the inhibitor should maximize the occupancy in the Wing 2 region of the NNI binding site of RT, and (c) the inhibitor should contain functional groups that provide favorable chemical interactions with Wing 2 residues of wild-type as well as mutant RT. Our rationally designed NNI compounds HI-236, HI-240, HI-244, HI-253, HI-443, and HI-445 combine these three features and outperform other anti-HIV agents examined.

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Year:  2000        PMID: 11008119     DOI: 10.1016/s0006-2952(00)00408-1

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  7 in total

1.  Steered molecular dynamics simulation on the binding of NNRTI to HIV-1 RT.

Authors:  Lingling Shen; Jianhua Shen; Xiaomin Luo; Feng Cheng; Yechun Xu; Kaixian Chen; Edward Arnold; Jianping Ding; Hualiang Jiang
Journal:  Biophys J       Date:  2003-06       Impact factor: 4.033

2.  Quantitative structure-activity relationship analysis of pyridinone HIV-1 reverse transcriptase inhibitors using the k nearest neighbor method and QSAR-based database mining.

Authors:  Jose Luis Medina-Franco; Alexander Golbraikh; Scott Oloff; Rafael Castillo; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2005-04       Impact factor: 3.686

3.  [d4U]-spacer-[HI-236] double-drug inhibitors of HIV-1 reverse-transcriptase.

Authors:  Yassir Younis; Roger Hunter; Clare I Muhanji; Ian Hale; Rajinder Singh; Christopher M Bailey; Todd J Sullivan; Karen S Anderson
Journal:  Bioorg Med Chem       Date:  2010-05-11       Impact factor: 3.641

4.  C-2-aryl O-substituted HI-236 derivatives as non-nucleoside HIV-1 reverse-transcriptase inhibitors.

Authors:  Roger Hunter; Yassir Younis; Clare I Muhanji; Tanith-Lea Curtin; Kevin J Naidoo; Melissa Petersen; Christopher M Bailey; Aravind Basavapathruni; Karen S Anderson
Journal:  Bioorg Med Chem       Date:  2008-11-01       Impact factor: 3.641

5.  N-(2-Bromo-phen-yl)thio-urea.

Authors:  Halima F Saleem; Bohari M Yamin
Journal:  Acta Crystallogr Sect E Struct Rep Online       Date:  2010-03-10

6.  Free-energy force-field three-dimensional quantitative structure-activity relationship analysis of a set of p38-mitogen activated protein kinase inhibitors.

Authors:  Nelilma Correia Romeiro; Magaly Girão Albuquerque; Ricardo Bicca de Alencastro; Malini Ravi; Anton J Hopfinger
Journal:  J Mol Model       Date:  2006-03-16       Impact factor: 1.810

7.  Residue-ligand interaction energy (ReLIE) on a receptor-dependent 3D-QSAR analysis of S- and NH-DABOs as non-nucleoside reverse transcriptase inhibitors.

Authors:  Monique Araújo de Brito; Carlos Rangel Rodrigues; José Jair Viana Cirino; Jocley Queiroz Araújo; Thiago Honório; Lúcio Mendes Cabral; Ricardo Bicca de Alencastro; Helena Carla Castro; Magaly Girão Albuquerque
Journal:  Molecules       Date:  2012-06-25       Impact factor: 4.411

  7 in total

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