Structural Probing and Molecular Modeling of the A3 Adenosine Receptor: A Focus on Agonist Binding

被引:31
作者
Ciancetta, Antonella [1 ]
Jacobson, Kenneth A. [1 ]
机构
[1] Natl Inst Diabet & Digest & Kidney Dis, MRS, Bioorgan Chem Lab, NIH, Bethesda, MA 20892 USA
关键词
G protein-coupled receptor; site-directed mutagenesis; homology modeling; adenosine receptor; structure-activity relationship; nucleoside; docking; molecular dynamics; agonist; drug discovery; virtual screening; PROTEIN-COUPLED RECEPTOR; ALLOSTERIC INTERACTIONS; CRYSTAL-STRUCTURE; ACTIVATION; LIGAND; SITE; IDENTIFICATION; NUCLEOSIDES; DERIVATIVES; DYNAMICS;
D O I
10.3390/molecules22030449
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Adenosine is an endogenous modulator exerting its functions through the activation of four adenosine receptor (AR) subtypes, termed A(1), A(2A), A(2B) and A(3), which belong to the G protein-coupled receptor (GPCR) superfamily. The human A(3)AR (hA(3)AR) subtype is implicated in several cytoprotective functions. Therefore, hA(3)AR modulators, and in particular agonists, are sought for their potential application as anti-inflammatory, anticancer, and cardioprotective agents. Structure-based molecular modeling techniques have been applied over the years to rationalize the structure-activity relationships (SARs) of newly emerged A(3)AR ligands, guide the subsequent lead optimization, and interpret site-directed mutagenesis (SDM) data from a molecular perspective. In this review, we showcase selected modeling-based and guided strategies that were applied to elucidate the binding of agonists to the A(3)AR and discuss the challenges associated with an accurate prediction of the receptor extracellular vestibule through homology modeling from the available X-ray templates.
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页数:17
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共 60 条
  • [1] Synthesis and pharmacological characterization of [125I]MRS5127, a high affinity, selective agonist radioligand for the A3 adenosine receptor
    Auchampach, John A.
    Gizewski, Elizabeth T.
    Wan, Tina C.
    de Castro, Sonia
    Brown, Garth G., Jr.
    Jacobson, Kenneth A.
    [J]. BIOCHEMICAL PHARMACOLOGY, 2010, 79 (07) : 967 - 973
  • [2] Ballesteros J. A., 1995, Neuroscience Methods, P366, DOI [DOI 10.1016/S1043-9471, DOI 10.1016/S1043-9471(05)80049-7]
  • [3] Structure-Activity Analysis of Biased Agonism at the Human Adenosine A3 Receptor
    Baltos, Jo-Anne
    Paoletta, Silvia
    Nguyen, Anh T. N.
    Gregory, Karen J.
    Tosh, Dilip K.
    Christopoulos, Arthur
    Jacobson, Kenneth A.
    May, Lauren T.
    [J]. MOLECULAR PHARMACOLOGY, 2016, 90 (01) : 12 - 22
  • [4] Borea P A, 2009, Handb Exp Pharmacol, P297, DOI 10.1007/978-3-540-89615-9_10
  • [5] Adenosine as a Multi-Signalling Guardian Angel in Human Diseases: When, Where and How Does it Exert its Protective Effects?
    Borea, Pier Andrea
    Gessi, Stefania
    Merighi, Stefania
    Varani, Katia
    [J]. TRENDS IN PHARMACOLOGICAL SCIENCES, 2016, 37 (06) : 419 - 434
  • [6] Adenosine receptors and asthma
    Brown, R. A.
    Spina, D.
    Page, C. P.
    [J]. BRITISH JOURNAL OF PHARMACOLOGY, 2008, 153 : S446 - S456
  • [7] Structure of the adenosine A2A receptor bound to an engineered G protein
    Carpenter, Byron
    Nehme, Rony
    Warne, Tony
    Leslie, Andrew G. W.
    Tate, Christopher G.
    [J]. NATURE, 2016, 536 (7614) : 104 - +
  • [8] Constitutive activation of A3 adenosine receptors by site-directed mutagenesis
    Chen, A
    Gao, ZG
    Barak, D
    Liang, BT
    Jacobson, KA
    [J]. BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2001, 284 (03) : 596 - 601
  • [9] The A3 adenosine receptor as multifaceted therapeutic target: pharmacology, medicinal chemistry, and in silico approaches
    Cheong, Siew Lee
    Federico, Stephanie
    Venkatesan, Gopalakrishnan
    Mandel, Alexander Laurence
    Shao, Yi-Ming
    Moro, Stefano
    Spalluto, Giampiero
    Pastorin, Giorgia
    [J]. MEDICINAL RESEARCH REVIEWS, 2013, 33 (02) : 235 - 335
  • [10] Deciphering the Complexity of Ligand-Protein Recognition Pathways Using Supervised Molecular Dynamics (SuMD) Simulations
    Cuzzolin, Alberto
    Sturlese, Mattia
    Deganutti, Giuseppe
    Salmaso, Veronica
    Sabbadin, Davide
    Ciancetta, Antonella
    Moro, Stefano
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2016, 56 (04) : 687 - 705