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    Molecular simulations of venom peptide-membrane interactions: Progress and challenges

    267693.pdf (255.7Kb)
    Access Status
    Open access
    Authors
    Deplazes, Evelyne
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Deplazes, E. 2018. Molecular simulations of venom peptide-membrane interactions: Progress and challenges. Peptide Science. 110 (3): Article ID e24060.
    Source Title
    Peptide Science
    DOI
    10.1002/pep2.24060
    ISSN
    2475-8817
    School
    School of Pharmacy and Biomedical Sciences
    Remarks

    This is the peer reviewed version of the article cited above, which has been published in final form at http://doi.org/10.1002/pep2.24060. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving at http://olabout.wiley.com/WileyCDA/Section/id-828039.html

    URI
    http://hdl.handle.net/20.500.11937/69943
    Collection
    • Curtin Research Publications
    Abstract

    Because of their wide range of biological activities venom peptides are a valuable source of lead molecules for the development of pharmaceuticals, pharmacological tools and insecticides. Many venom peptides work by modulating the activity of ion channels and receptors or by irreversibly damaging cell membranes. In many cases, the mechanism of action is intrinsically linked to the ability of the peptide to bind to or partition into membranes. Thus, understanding the biological activity of these venom peptides requires characterizing their membrane binding properties. This review presents an overview of the recent developments and challenges in using biomolecular simulations to study venom peptide‐membrane interactions. The review is focused on (i) gating modifier peptides that target voltage‐gated ion channels, (ii) venom peptides that inhibit mechanosensitive ion channels, and (iii) pore‐forming venom peptides. The methods and approaches used to study venom peptide‐membrane interactions are discussed with a particular focus on the challenges specific to these systems and the type of questions that can (and cannot) be addressed using state‐of‐the‐art simulation techniques. The review concludes with an outlook on future aims and directions in the field.

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