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Discovery of novel allosteric modulators targeting an extra-helical binding site of glp-1r using structure-and ligand-based virtual screening

  • Qingtong Zhou
  • , Wanjing Guo
  • , Antao Dai
  • , Xiaoqing Cai
  • , Márton Vass
  • , Chris de Graaf
  • , Wenqing Shui
  • , Suwen Zhao*
  • , Dehua Yang
  • , Ming Wei Wang
  • *Corresponding author for this work

    Research output: Contribution to JournalArticleAcademicpeer-review

    Abstract

    Allosteric modulators have emerged with many potential pharmacological advantages as they do not compete the binding of agonist or antagonist to the orthosteric sites but ultimately affect downstream signaling. To identify allosteric modulators targeting an extra-helical binding site of the glucagon-like peptide-1 receptor (GLP-1R) within the membrane environment, the following two computational approaches were applied: structure-based virtual screening with consideration of lipid contacts and ligand-based virtual screening with the maintenance of specific allosteric pocket residue interactions. Verified by radiolabeled ligand binding and cAMP accumulation experiments, two negative allosteric modulators and seven positive allosteric modulators were discovered using structure-based and ligand-based virtual screening methods, respectively. The computational approach presented here could possibly be used to discover allosteric modulators of other G protein-coupled receptors.

    Original languageEnglish
    Article number929
    Pages (from-to)1-14
    Number of pages14
    JournalBiomolecules
    Volume11
    Issue number7
    Early online date23 Jun 2021
    DOIs
    Publication statusPublished - Jul 2021

    Bibliographical note

    This article belongs to the Special Issue: Design, Synthesis and Structure of Peptides.

    Publisher Copyright:
    © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

    Copyright:
    Copyright 2021 Elsevier B.V., All rights reserved.

    Funding

    Funding: This research was partially supported by National Key Research and Development Program of China grants 2018YFA0507000 (S.Z. and M.-W.W.) and 2016YFC0905900 (S.Z.); National Mega R&D Program for Drug Discovery grants 2018ZX09711002-002-005 (D.Y.) and 2018ZX09735-001 (M.-W.W); National Natural Science Foundation of China grants 21704064 (Q.Z.), 81573479 (D.Y.), 81773792 (D.Y.), 81872915 (M.-W.W.), 82073904 (M.-W.W.) and 31971178 (S.Z.); Shanghai Science & Technology Development Fund grant 16ZR1407100 (A.D.); Novo Nordisk-CAS Research Fund grant NNCAS-2017-1-CC (D.Y.) and annual overhead support from ShanghaiTech University and Chinese Academy of Sciences.

    FundersFunder number
    National Mega R&D Program for Drug Discovery2018ZX09735-001, 2018ZX09711002-002-005
    Novo Nordisk-CAS Research8e1v8e7l2o9p1m5
    Novo Nordisk-CAS Research FundNNCAS-2017-1-CC
    ShanghaiTech University enFcuen
    Shanghai Science and Technology Development Foundation
    National Natural Science Foundation of China21704064, 31971178, 81872915, 16ZR1407100, 81773792, 82073904, 81573479 M0e0g1a
    Chinese Academy of Sciences
    National Key Research and Development Program of China2016YFC0905900, 2018YFA0507000
    ShanghaiTech University

      UN SDGs

      This output contributes to the following UN Sustainable Development Goals (SDGs)

      1. SDG 3 - Good Health and Well-being
        SDG 3 Good Health and Well-being

      Keywords

      • Allosteric modulator
      • Drug discovery
      • GLP-1R
      • Molecular docking
      • Virtual screening

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