• Login
    View Item 
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Biochemistry and Molecular Biotechnology
    • Schiffer Lab Publications
    • View Item
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Biochemistry and Molecular Biotechnology
    • Schiffer Lab Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of eScholarship@UMassChanCommunitiesPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsThis CollectionPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywords

    My Account

    LoginRegister

    Help

    AboutSubmission GuidelinesData Deposit PolicySearchingAccessibilityTerms of UseWebsite Migration FAQ

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Molecular Basis for Differential Patterns of Drug Resistance in Influenza N1 and N2 Neuraminidase

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Prachanronarong, Kristina L.
    Ozen, Aysegul
    Thayer, Kelly
    Yilmaz, L. Safak
    Zeldovich, Konstantin B.
    Bolon, Daniel N.
    Kowalik, Timothy F.
    Jensen, Jeffrey D.
    Finberg, Robert W.
    Wang, Jennifer P.
    Yilmaz, Nese Kurt
    Schiffer, Celia A.
    Show allShow less
    UMass Chan Affiliations
    Department of Medicine
    Department of Microbiology and Physiological Systems
    Program in Systems Biology
    Program in Bioinformatics and Integrative Biology
    Department of Biochemistry and Molecular Pharmacology
    Document Type
    Journal Article
    Publication Date
    2016-12-13
    Keywords
    Biochemistry
    Medicinal Chemistry and Pharmaceutics
    Medicinal-Pharmaceutical Chemistry
    Molecular Biology
    Structural Biology
    Virus Diseases
    
    Metadata
    Show full item record
    Link to Full Text
    https://doi.org/10.1021/acs.jctc.6b00703
    Abstract
    Neuraminidase (NA) inhibitors are used for the prevention and treatment of influenza A virus infections. Two subtypes of NA, N1 and N2, predominate in viruses that infect humans, but differential patterns of drug resistance have emerged in each subtype despite highly homologous active sites. To understand the molecular basis for the selection of these drug resistance mutations, structural and dynamic analyses on complexes of N1 and N2 NA with substrates and inhibitors were performed. Comparison of dynamic substrate and inhibitor envelopes and interactions at the active site revealed how differential patterns of drug resistance have emerged for specific drug resistance mutations, at residues I222, S246, and H274 in N1 and E119 in N2. Our results show that the differences in intermolecular interactions, especially van der Waals contacts, of the inhibitors versus substrates at the NA active site effectively explain the selection of resistance mutations in the two subtypes. Avoiding such contacts that render inhibitors vulnerable to resistance by better mimicking the dynamics and intermolecular interactions of substrates can lead to the development of novel inhibitors that avoid drug resistance in both subtypes.
    Source
    J Chem Theory Comput. 2016 Dec 13;12(12):6098-6108. Epub 2016 Nov 17. Link to article on publisher's site
    DOI
    10.1021/acs.jctc.6b00703
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/48866
    PubMed ID
    27951676
    Related Resources
    Link to Article in PubMed
    ae974a485f413a2113503eed53cd6c53
    10.1021/acs.jctc.6b00703
    Scopus Count
    Collections
    Schiffer Lab Publications
    Program in Bioinformatics and Integrative Biology Publications

    entitlement

     
    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Lamar Soutter Library, UMass Chan Medical School | 55 Lake Avenue North | Worcester, MA 01655 USA
    Quick Guide | escholarship@umassmed.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.