Multisite Model of Allosterism for the Adenosine A1 Receptor

Giuseppe Deganutti, Kerry Barkan, Graham Ladds, Christopher A Reynolds

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)
    40 Downloads (Pure)


    Despite being a target for about one-third of approved drugs, G protein-coupled receptors (GPCRs) still represent a tremendous reservoir for therapeutic strategies against diseases. For example, several cardiovascular and central nervous system conditions could benefit from clinical agents that activate the adenosine 1 receptor (A1R); however, the pursuit of A1R agonists for clinical use is usually impeded by both on- and off-target side effects. One of the possible strategies to overcome this issue is the development of positive allosteric modulators (PAMs) capable of selectively enhancing the effect of a specific receptor subtype and triggering functional selectivity (a phenomenon also referred to as bias). Intriguingly, besides enforcing the effect of agonists upon binding to an allosteric site, most of the A1R PAMs display intrinsic partial agonism and orthosteric competition with antagonists. To rationalize this behavior, we simulated the binding of the prototypical PAMs PD81723 and VCP171, the full-agonist NECA, the antagonist 13B, and the bitopic agonist VCP746. We propose that a single PAM can bind several A1R sites rather than a unique allosteric pocket, reconciling the structure-activity relationship and the mutagenesis results.

    Original languageEnglish
    Pages (from-to)2001-2015
    Number of pages15
    JournalJournal of Chemical Information and Modeling
    Issue number4
    Early online date29 Mar 2021
    Publication statusPublished - 26 Apr 2021

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    ASJC Scopus subject areas

    • Chemistry(all)
    • Chemical Engineering(all)
    • Computer Science Applications
    • Library and Information Sciences


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