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    Identification of Inhibitor Binding Site in Human Sirtuin 2 Using Molecular Docking and Dynamics Simulations

    196146_105692_79324.pdf (759.1Kb)
    Access Status
    Open access
    Authors
    Sakkiah, Sugunadevi
    Arooj, Mahreen
    Rajesh Kumar, Manian
    Hyun Eom, Soo
    Woo Lee, Keun
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Sakkiah, Sugunadevi and Arooj, Mahreen and Rajesh Kumar, Manian and Hyun Eom, Soo and Woo Lee, Keun. 2013. Identification of Inhibitor Binding Site in Human Sirtuin 2 Using Molecular Docking and Dynamics Simulations. PloS ONE. 8 (1): e51429.
    Source Title
    PloS one
    DOI
    10.1371/journal.pone.0051429
    ISSN
    19326203
    Remarks

    This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/ Please refer to the licence to obtain terms for any further reuse or distribution of this work.

    URI
    http://hdl.handle.net/20.500.11937/33925
    Collection
    • Curtin Research Publications
    Abstract

    The ability to identify the site of a protein that can bind with high affinity to small, drug-like compounds has been an important goal in drug design. Sirtuin 2 (SIRT2), histone deacetylase protein family, plays a central role in the regulation of various pathways. Hence, identification of drug for SIRT2 has attracted great interest in the drug discovery community. To elucidate the molecular basis of the small molecules interactions to inhibit the SIRT2 function we employed the molecular docking, molecular dynamics simulations, and the molecular mechanism Poisson-Boltzmann/surface area (MM-PBSA) calculations. Five well know inhibitors such as suramin, mol-6, sirtinol, 67, and nf675 were selected to establish the nature of the binding mode of the inhibitors in the SIRT2 active site. The molecular docking and dynamics simulations results revealed that the hydrogen bonds between Arg97 and Gln167 are crucial to inhibit the function of SIRT2. In addition, the MM-PBSA calculations revealed that binding of inhibitors to SIRT2 is mainly driven by van der Waals/non-polar interactions. Although the five inhibitors are very different in structure, shape, and electrostatic potential, they are able to fit in the same bindingpocket. These findings from this study provide insights to elucidate the binding pattern of SIRT2 inhibitors and help in the rational structure-based design of novel SIRT2 inhibitors with improved potency and better resistance profile.

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