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    Molecular dynamics simulation of tau peptides for the investigation of conformational changes induced by specific phosphorylation patterns

    Access Status
    Fulltext not available
    Authors
    Gandhi, N.
    Kukic, P.
    Lippens, G.
    Mancera, Ricardo
    Date
    2017
    Type
    Book Chapter
    
    Metadata
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    Citation
    Gandhi, N. and Kukic, P. and Lippens, G. and Mancera, R. 2017. Molecular dynamics simulation of tau peptides for the investigation of conformational changes induced by specific phosphorylation patterns, in Smet-Nocca, C. (ed), Methods in Molecular Biology, pp. 33-59. New York: Springer.
    Source Title
    Methods in Molecular Biology
    DOI
    10.1007/978-1-4939-6598-4_3
    School
    School of Biomedical Sciences
    URI
    http://hdl.handle.net/20.500.11937/4821
    Collection
    • Curtin Research Publications
    Abstract

    The Tau protein plays an important role due to its biomolecular interactions in neurodegenerative diseases. The lack of stable structure and various posttranslational modifications such as phosphorylation at various sites in the Tau protein pose a challenge for many experimental methods that are traditionally used to study protein folding and aggregation. Atomistic molecular dynamics (MD) simulations can help around deciphering relationship between phosphorylation and various intermediate and stable conformations of the Tau protein which occur on longer timescales. This chapter outlines protocols for the preparation, execution, and analysis of all-atom MD simulations of a 21-amino acid-long phosphorylated Tau peptide with the aim of generating biologically relevant structural and dynamic information. The simulations are done in explicit solvent and starting from nearly extended configurations of the peptide. The scaled MD method implemented in AMBER14 was chosen to achieve enhanced conformational sampling in addition to a conventional MD approach, thereby allowing the characterization of folding for such an intrinsically disordered peptide at 293 K. Emphasis is placed on the analysis of the simulation trajectories to establish correlations with NMR data (i.e., chemical shifts and NOEs). Finally, in-depth discussions are provided for commonly encountered problems.

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