New Insights into Key Determinants for Adenosine 1 Receptor Antagonists Selectivity Using Supervised Molecular Dynamics Simulations.

Biomolecules

Molecular Modeling Section (MMS), Department of Pharmaceutical and Pharmacological Sciences, University of Padova, via Marzolo 5, 35131 Padova, Italy.

Published: May 2020

AI Article Synopsis

  • Adenosine receptors (ARs) are important targets for drug design, but their complex selectivity profiles make this challenging.
  • Recent advancements, including the structural resolution of the AR subtype A (AAR), have enhanced our understanding of these receptors.
  • This study focuses on the selectivity of two AAR antagonists, utilizing Supervised Molecular Dynamics to track their binding processes and the influence of water molecules in the binding site.

Article 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 A (AAR) has been recently solved,providing important structural insights. In the present work, we rationalized the selectivity profile of two selective AAR and AAR 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7278174PMC
http://dx.doi.org/10.3390/biom10050732DOI Listing

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