Literature DB >> 18004760

Evaluating the potency of HIV-1 protease drugs to combat resistance.

Tingjun Hou1, William A McLaughlin, Wei Wang.   

Abstract

HIV-1 protease has been an important drug target for the antiretroviral treatment of HIV infection. The efficacy of protease drugs is impaired by the rapid emergence of resistant virus strains. Understanding the molecular basis and evaluating the potency of an inhibitor to combat resistance are no doubt important in AIDS therapy. In this study, we first identified residues that have significant contributions to binding with six substrates using molecular dynamics simulations and Molecular Mechanics Generalized Born Surface Area calculations. Among the critical residues, Asp25, Gly27, Ala28, Asp29, and Gly49 are well conserved, with which the potent drugs should form strong interactions. We then calculated the contribution of each residue to binding with eight FDA approved drugs. We analyzed the conservation of each protease residue and also compared the interaction between the HIV protease and individual residues of the drugs and substrates. Our analyses showed that resistant mutations usually occur at less conserved residues forming more favorable interactions with drugs than with substrates. To quantitatively integrate the binding free energy and conservation information, we defined an empirical parameter called free energy/variability (FV) value, which is the product of the contribution of a single residue to the binding free energy and the sequence variability at that position. As a validation, the FV value was shown to identify single resistant mutations with an accuracy of 88%. Finally, we evaluated the potency of a newly approved drug, darunavir, to combat resistance and predicted that darunavir is more potent than amprenavir but may be susceptible to mutations on Val32 and Ile84. 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 18004760      PMCID: PMC2628484          DOI: 10.1002/prot.21808

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  37 in total

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2.  Can an optimization/scoring procedure in ligand-protein docking be employed to probe drug-resistant mutations in proteins?

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3.  Computational study of protein specificity: the molecular basis of HIV-1 protease drug resistance.

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Authors:  W Wang; O Donini; C M Reyes; P A Kollman
Journal:  Annu Rev Biophys Biomol Struct       Date:  2001

5.  Substrate shape determines specificity of recognition for HIV-1 protease: analysis of crystal structures of six substrate complexes.

Authors:  Moses Prabu-Jeyabalan; Ellen Nalivaika; Celia A Schiffer
Journal:  Structure       Date:  2002-03       Impact factor: 5.006

6.  Computational studies of the resistance patterns of mutant HIV-1 aspartic proteases towards ABT-538 (ritonavir) and design of new derivatives.

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7.  Insights into protein-protein binding by binding free energy calculation and free energy decomposition for the Ras-Raf and Ras-RalGDS complexes.

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8.  Overcoming drug resistance in HIV-1 chemotherapy: the binding thermodynamics of Amprenavir and TMC-126 to wild-type and drug-resistant mutants of the HIV-1 protease.

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9.  Molecular dynamics and free energy studies on the wild-type and double mutant HIV-1 protease complexed with amprenavir and two amprenavir-related inhibitors: mechanism for binding and drug resistance.

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Journal:  J Med Chem       Date:  2007-02-15       Impact factor: 7.446

10.  X-ray crystallographic structure of ABT-378 (lopinavir) bound to HIV-1 protease.

Authors:  Vincent Stoll; Wenying Qin; Kent D Stewart; Clarissa Jakob; Chang Park; K Walter; R L Simmer; Rosalind Helfrich; Dirk Bussiere; J Kao; Dale Kempf; Hing L Sham; Daniel W Norbeck
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  29 in total

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2.  Rationale for more diverse inhibitors in competition with substrates in HIV-1 protease.

Authors:  Nevra Ozer; Celia A Schiffer; Turkan Haliloglu
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3.  Prediction of zanamivir efficiency over the possible 2009 influenza A (H1N1) mutants by multiple molecular dynamics simulations and free energy calculations.

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4.  Validating the vitality strategy for fighting drug resistance.

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5.  Identification of methyllysine peptides binding to chromobox protein homolog 6 chromodomain in the human proteome.

Authors:  Nan Li; Richard S L Stein; Wei He; Elizabeth Komives; Wei Wang
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6.  The recognition specificity of the CHD1 chromodomain with modified histone H3 peptides.

Authors:  Richard S L Stein; Wei Wang
Journal:  J Mol Biol       Date:  2010-12-30       Impact factor: 5.469

7.  Recognition of methylated peptides by Drosophila melanogaster polycomb chromodomain.

Authors:  Richard S L Stein; Nan Li; Wei He; Elizabeth Komives; Wei Wang
Journal:  J Proteome Res       Date:  2013-02-04       Impact factor: 4.466

8.  Insights into drug resistance of mutations D30N and I50V to HIV-1 protease inhibitor TMC-114: free energy calculation and molecular dynamic simulation.

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Journal:  J Mol Model       Date:  2009-07-24       Impact factor: 1.810

9.  In pursuit of virtual lead optimization: pruning ensembles of receptor structures for increased efficiency and accuracy during docking.

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10.  Predicting drug resistance of the HIV-1 protease using molecular interaction energy components.

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Journal:  Proteins       Date:  2009-03
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