Literature DB >> 18412349

HIV-1 protease inhibitors from inverse design in the substrate envelope exhibit subnanomolar binding to drug-resistant variants.

Michael D Altman1, Akbar Ali, G S Kiran Kumar Reddy, Madhavi N L Nalam, Saima Ghafoor Anjum, Hong Cao, Sripriya Chellappan, Visvaldas Kairys, Miguel X Fernandes, Michael K Gilson, Celia A Schiffer, Tariq M Rana, Bruce Tidor.   

Abstract

The acquisition of drug-resistant mutations by infectious pathogens remains a pressing health concern, and the development of strategies to combat this threat is a priority. Here we have applied a general strategy, inverse design using the substrate envelope, to develop inhibitors of HIV-1 protease. Structure-based computation was used to design inhibitors predicted to stay within a consensus substrate volume in the binding site. Two rounds of design, synthesis, experimental testing, and structural analysis were carried out, resulting in a total of 51 compounds. Improvements in design methodology led to a roughly 1000-fold affinity enhancement to a wild-type protease for the best binders, from a Ki of 30-50 nM in round one to below 100 pM in round two. Crystal structures of a subset of complexes revealed a binding mode similar to each design that respected the substrate envelope in nearly all cases. All four best binders from round one exhibited broad specificity against a clinically relevant panel of drug-resistant HIV-1 protease variants, losing no more than 6-13-fold affinity relative to wild type. Testing a subset of second-round compounds against the panel of resistant variants revealed three classes of inhibitors: robust binders (maximum affinity loss of 14-16-fold), moderate binders (35-80-fold), and susceptible binders (greater than 100-fold). Although for especially high-affinity inhibitors additional factors may also be important, overall, these results suggest that designing inhibitors using the substrate envelope may be a useful strategy in the development of therapeutics with low susceptibility to resistance.

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Year:  2008        PMID: 18412349      PMCID: PMC3465729          DOI: 10.1021/ja076558p

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  76 in total

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2.  Selection and characterization of HIV-1 showing reduced susceptibility to the non-peptidic protease inhibitor tipranavir.

Authors:  Louise Doyon; Sonia Tremblay; Lise Bourgon; Elizabeth Wardrop; Michael G Cordingley
Journal:  Antiviral Res       Date:  2005-10       Impact factor: 5.970

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Journal:  J Med Chem       Date:  1992-05-15       Impact factor: 7.446

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Authors:  W R Greco; M T Hakala
Journal:  J Biol Chem       Date:  1979-12-10       Impact factor: 5.157

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Authors:  W R Scott; C A Schiffer
Journal:  Structure       Date:  2000-12-15       Impact factor: 5.006

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Journal:  J Virol       Date:  2003-04       Impact factor: 5.103

7.  Validation and use of the MM-PBSA approach for drug discovery.

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Journal:  J Med Chem       Date:  2005-06-16       Impact factor: 7.446

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Journal:  Antimicrob Agents Chemother       Date:  2004-07       Impact factor: 5.191

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  43 in total

Review 1.  Hepatitis C virus non-structural protein 3 (HCV NS3): a multifunctional antiviral target.

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2.  Evaluating the substrate-envelope hypothesis: structural analysis of novel HIV-1 protease inhibitors designed to be robust against drug resistance.

Authors:  Madhavi N L Nalam; Akbar Ali; Michael D Altman; G S Kiran Kumar Reddy; Sripriya Chellappan; Visvaldas Kairys; Aysegül Ozen; Hong Cao; Michael K Gilson; Bruce Tidor; Tariq M Rana; Celia A Schiffer
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3.  Drug resistance against HCV NS3/4A inhibitors is defined by the balance of substrate recognition versus inhibitor binding.

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Authors:  David J Huggins; Bruce Tidor
Journal:  Protein Eng Des Sel       Date:  2011-07-19       Impact factor: 1.650

6.  Nine crystal structures determine the substrate envelope of the MDR HIV-1 protease.

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7.  Improving the Resistance Profile of Hepatitis C NS3/4A Inhibitors: Dynamic Substrate Envelope Guided Design.

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8.  Identification of structural mechanisms of HIV-1 protease specificity using computational peptide docking: implications for drug resistance.

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9.  Characterization of small molecule binding. I. Accurate identification of strong inhibitors in virtual screening.

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10.  Method to Predict Crowding Effects by Postprocessing Molecular Dynamics Trajectories: Application to the Flap Dynamics of HIV-1 Protease.

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