Abstract

Molecular modeling has contributed to drug discovery for purinergic GPCRs, including adenosine receptors (ARs) and P2Y receptors (P2YRs). Experimental structures and homology modeling have proven to be useful in understanding and predicting structure activity relationships (SAR) of agonists and antagonists. This review provides an excursus on molecular dynamics (MD) simulations applied to ARs and P2YRs. The binding modes of newly synthesized A1AR- and A3AR-selective nucleoside derivatives, potentially of use against depression and inflammation, respectively, have been predicted to recapitulate their SAR and the species dependence of A3AR affinity. P2Y12R and P2Y1R crystallographic structures, respectively, have provided a detailed understanding of the recognition of anti-inflammatory P2Y14R antagonists and a large group of allosteric and orthosteric antagonists of P2Y1R, an antithrombotic and neuroprotective target. MD of A2AAR (an anticancer and neuroprotective target), A3AR, and P2Y1R has identified microswitches that are putatively involved in receptor activation. The approach pathways of different ligands toward A2AAR and P2Y1R binding sites have also been explored. A1AR, A2AAR, and A3AR were utilizes to study allosteric phenomena, but locating the binding site of structurally diverse allosteric modulators, such as an A3AR enhancer LUF6000, is challenging. Ligand residence time, a predictor of in vivo efficacy, and the structural role of water were investigated through A2AAR MD simulations. Thus, new MD and other modeling algorithms have contributed to purinergic GPCR drug discovery.

Highlights

  • Molecular modeling has contributed to drug design and discovery for 40 years

  • We focus on recent molecular dynamics (MD) studies of purinergic G protein-coupled receptors (GPCRs), including adenosine receptors (ARs, known as P1 receptors) and P2Y receptors (P2YRs) [6,7]

  • The enhancement of computing power provided by new hardware and software technologies has been making MD simulations a helpful tool in molecular modeling and Structure-based drug design (SBDD)

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Summary

Introduction

Molecular modeling has contributed to drug design and discovery for 40 years. Molecular docking and virtual screening techniques were initially employed to prefilter huge chemical libraries to reduce the burden of compounds and resources that are needed for in vitro testing. Over the last 20 years, hundreds of experimental structures have been solved for G protein-coupled receptors (GPCRs). These structures provide a snapshot of individual conformational states of the system, and they are useful for SBDD campaigns, with proven success in the identification of potential therapeutic compounds [3]. MD simulations can account for explicit solvent, ions, and membranes (in the case of membrane-bound proteins) This might lead to the identification of protein’s druggable binding cavities, to the investigation of drug’s mechanistic pathways, and to the computation of kinetic parameters [5]. Two X-ray structures of A1AR (antagonist-bound) have been reported [24,38], together with one agonist-bound active G protein-bound cryo-EM structure [39]

A2A A2B A3
Excursus on MD Techniques
Postprocessing of Molecular Docking Poses
Association Process
Allostery
Dissociation Process
Water Contribution in Ligand-Binding
Findings
Conclusions
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