Literature DB >> 30888844

Peeking at G-protein-coupled receptors through the molecular dynamics keyhole.

Giuseppe Deganutti1, Stefano Moro2, Christopher A Reynolds1.   

Abstract

Molecular dynamics is a state of the art computational tool for the investigation of biophysics phenomenon at a molecular scale, as it enables the modeling of dynamic processes, such as conformational motions, molecular solvation and ligand binding. The recent advances in structural biology have led to a bloom in published G-protein-coupled receptor structures, representing a solid and valuable resource for molecular dynamics studies. During the last decade, indeed, a plethora of physiological and pharmacological facets of this membrane protein superfamily have been addressed by means of molecular dynamics simulations, including the activation mechanism, allosterism and, very recently, biased signaling. Here, we try to recapitulate some of the main contributions that molecular dynamics has recently produced in the field.

Keywords:  GPCRs; allosterism; biased agonism; class B GPCRs; ligand binding; molecular dynamics; solvation

Year:  2019        PMID: 30888844     DOI: 10.4155/fmc-2018-0393

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  3 in total

1.  Computational Investigations on the Binding Mode of Ligands for the Cannabinoid-Activated G Protein-Coupled Receptor GPR18.

Authors:  Alexander Neumann; Viktor Engel; Andhika B Mahardhika; Clara T Schoeder; Vigneshwaran Namasivayam; Katarzyna Kieć-Kononowicz; Christa E Müller
Journal:  Biomolecules       Date:  2020-04-29

2.  Deciphering the Agonist Binding Mechanism to the Adenosine A1 Receptor.

Authors:  Giuseppe Deganutti; Kerry Barkan; Barbara Preti; Michele Leuenberger; Mark Wall; Bruno G Frenguelli; Martin Lochner; Graham Ladds; Christopher A Reynolds
Journal:  ACS Pharmacol Transl Sci       Date:  2021-01-21

3.  Simple Selection Procedure to Distinguish between Static and Flexible Loops.

Authors:  Karolina Mitusińska; Tomasz Skalski; Artur Góra
Journal:  Int J Mol Sci       Date:  2020-03-26       Impact factor: 5.923

  3 in total

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