Latest developments in experimental and computational approaches to characterize protein-lipid interactions

Hyunju Cho, Ming Wu, Betul Bilgin, S. Patrick Walton, Christina Chan

    Research output: Research - peer-reviewArticle

    • 10 Citations

    Abstract

    Understanding the functional roles of all the molecules in cells is an ultimate goal of modern biology. An important facet is to understand the functional contributions from intermolecular interactions, both within a class of molecules (e.g. protein-protein) or between classes (e.g. protein-DNA). While the technologies for analyzing protein-protein and protein-DNA interactions are well established, the field of protein-lipid interactions is still relatively nascent. Here, we review the current status of the experimental and computational approaches for detecting and analyzing protein-lipid interactions. Experimental technologies fall into two principal categories, namely solution-based and array-based methods. Computational methods include large-scale data-driven analyses and predictions/dynamic simulations based on prior knowledge of experimentally identified interactions. Advances in the experimental technologies have led to improved computational analyses and vice versa, thereby furthering our understanding of protein-lipid interactions and their importance in biological systems.

    LanguageEnglish (US)
    Pages3273-3285
    Number of pages13
    JournalProteomics
    Volume12
    Issue number22
    DOIs
    StatePublished - Nov 2012

    Profile

    Lipids
    Proteins
    Technology
    Molecules
    DNA
    Biological systems
    Computational methods
    Computer simulation

    Keywords

    • Computational
    • Experimental
    • Protein-lipid interactions
    • Technology

    ASJC Scopus subject areas

    • Molecular Biology
    • Biochemistry

    Cite this

    Latest developments in experimental and computational approaches to characterize protein-lipid interactions. / Cho, Hyunju; Wu, Ming; Bilgin, Betul; Walton, S. Patrick; Chan, Christina.

    In: Proteomics, Vol. 12, No. 22, 11.2012, p. 3273-3285.

    Research output: Research - peer-reviewArticle

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