Abstract

To predict structural and energetic effects of point mutations on ligand binding is of considerable interest in biochemistry and pharmacology. This is not only useful in connection with site-directed mutagenesis experiments, but could also allow interpretation and prediction of individual responses to drug treatment. For G-protein coupled receptors systematic mutagenesis has provided the major part of functional data as structural information until recently has been very limited. For the pharmacologically important A2A adenosine receptor, extensive site-directed mutagenesis data on agonist and antagonist binding is available and crystal structures of both types of complexes have been determined. Here, we employ a computational strategy, based on molecular dynamics free energy simulations, to rationalize and interpret available alanine-scanning experiments for both agonist and antagonist binding to this receptor. These computer simulations show excellent agreement with the experimental data and, most importantly, reveal the molecular details behind the observed effects which are often not immediately evident from the crystal structures. The work further provides a distinct validation of the computational strategy used to assess effects of point-mutations on ligand binding. It also highlights the importance of considering not only protein-ligand interactions but also those mediated by solvent water molecules, in ligand design projects.

Highlights

  • Modulation of signal transduction across the cellular membrane is one of the main targets for pharmaceutical research

  • Most cellular signaling in eukaryotes is mediated by receptors belonging to the superfamily of G-protein coupled receptors (GPCRs), which have been identified as targets for about 30% of all marketed drugs [1]

  • Human A2AAR has been thoroughly studied by alanine scanning, which is reflected by the 38 single alanine mutations indexed in the GPCRDB database [45]

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Summary

Introduction

Modulation of signal transduction across the cellular membrane is one of the main targets for pharmaceutical research. Progress in the characterization of the GPCRs has been impressive in the last decades It encompasses breakthroughs in molecular biology and cloning, biochemical elucidation of signaling mechanisms and pathways, pharmacology and, more recently, 3D structure determination [2]. Mutagenesis studies have been performed on GPCRs for more than 30 years to explore which amino acid residues are important for binding of different ligands [4]. This data can be combined with novel structural information and structure-activity relationships for series of ligands, providing an ideal situation for characterizing ligand binding through computational modeling

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