In silico identification of novel G protein-coupled receptors

Matthew N Davies, David E Gloriam, Darren R Flower

    Abstract

    The G protein-coupled receptors (GPCRs) form the largest and most multi-functional protein-superfamilies known. From a drug discovery and pharmaceutical industry perspective, the GPCRs are among the most commercially and economically important groups of proteins yet identified, since they have so many vital metabolic functions and interact with such a diversity of ligands. Many distinct methodologies have been proposed to classify the GPCRs: motif-based techniques, machine learning, and several alignment-free techniques have all been used successful in this regard. This chapter reviews the available methodologies for classifying GPCRs. In particular, we allude to several innate problems in developing such approaches, such as the lack of sequence similarity between the six GPCR classes and the low sequence similarity of many newly identified family members to other GPCRs.

    Original languageEnglish
    Title of host publicationMethods for the discovery and characterization of G protein-coupled receptors
    EditorsCraig W Stevens
    Volume60
    Place of PublicationNew York
    PublisherHumana Press
    Publication date2011
    Pages3-18
    Chapter1
    ISBN (Print)978-1-61779-178-9
    ISBN (Electronic)978-1-61779-179-6
    DOIs
    Publication statusPublished - 2011
    SeriesNeuromethods
    Volume60
    ISSN0893-2336

    Keywords

    • Former Faculty of Pharmaceutical Sciences

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