Bolcato, Giovanni and Bissaro, Maicol and Deganutti, Giuseppe and Sturlese, Mattia and Moro, Stefano (2020) New insights into key determinants for adenosine 1 receptor antagonists selectivity using supervised molecular dynamics simulations. Biomolecules, 10 (5). p. 732. DOI https://doi.org/10.3390/biom10050732
Bolcato, Giovanni and Bissaro, Maicol and Deganutti, Giuseppe and Sturlese, Mattia and Moro, Stefano (2020) New insights into key determinants for adenosine 1 receptor antagonists selectivity using supervised molecular dynamics simulations. Biomolecules, 10 (5). p. 732. DOI https://doi.org/10.3390/biom10050732
Bolcato, Giovanni and Bissaro, Maicol and Deganutti, Giuseppe and Sturlese, Mattia and Moro, Stefano (2020) New insights into key determinants for adenosine 1 receptor antagonists selectivity using supervised molecular dynamics simulations. Biomolecules, 10 (5). p. 732. DOI https://doi.org/10.3390/biom10050732
Abstract
Adenosine receptors (ARs), like many otherGprotein-coupledreceptors (GPCRs), are targets of primary interest indrug design. However, one of the main limits for the development of drugs for this class of GPCRs is the complex selectivity profile usually displayed by ligands. Numerous efforts have been madefor clarifying the selectivity of ARs, leading to the development of many ligand-based models. The structure of the AR subtype A1 (A1AR) has been recently solved,providing important structural insights. In the present work, we rationalized the selectivity profile of two selective A1AR and A2AAR antagonists, investigating their recognition trajectories obtained by Supervised Molecular Dynamics from an unbound state and monitoring the role of the water molecules in the binding site.
Item Type: | Article |
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Additional Information: | This article belongs to the Special Issue In Silico Drug Design for GPCRs: Big Data for Small Molecule Discovery |
Uncontrolled Keywords: | GPCRs; adenosine receptors; selectivity; A(1)AR; A(2A)AR; antagonist; moleculardynamics (MD); supervised molecular dynamics (SuMD) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Life Sciences, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 21 May 2020 15:03 |
Last Modified: | 30 Oct 2024 16:56 |
URI: | http://repository.essex.ac.uk/id/eprint/27590 |
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Filename: biomolecules-10-00732.pdf
Licence: Creative Commons: Attribution 3.0