Hit-to-lead and lead optimization binding free energy calculations for G protein-coupled receptors

Author:

Wan Shunzhou1ORCID,Potterton Andrew2ORCID,Husseini Fouad S.1ORCID,Wright David W.1ORCID,Heifetz Alexander23,Malawski Maciej4,Townsend-Nicholson Andrea2ORCID,Coveney Peter V.15ORCID

Affiliation:

1. Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, UK

2. Institute of Structural and Molecular Biology, Research Department of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, UK

3. Evotec (UK) Ltd, 114 Innovation Drive, Milton Park, Abingdon OX14 4RZ, UK

4. ACK Cyfronet, AGH University of Science and Technology, Nawojki 11, 30-950, Kraków, Poland

5. Computational Science Laboratory, Institute for Informatics, Faculty of Science, University of Amsterdam, 1098XH Amsterdam, The Netherlands

Abstract

We apply the hit-to-lead ESMACS (enhanced sampling of molecular dynamics with approximation of continuum solvent) and lead-optimization TIES (thermodynamic integration with enhanced sampling) methods to compute the binding free energies of a series of ligands at the A 1 and A 2A adenosine receptors, members of a subclass of the GPCR (G protein-coupled receptor) superfamily. Our predicted binding free energies, calculated using ESMACS, show a good correlation with previously reported experimental values of the ligands studied. Relative binding free energies, calculated using TIES, accurately predict experimentally determined values within a mean absolute error of approximately 1 kcal mol −1 . Our methodology may be applied widely within the GPCR superfamily and to other small molecule–receptor protein systems.

Funder

Biotechnology and Biological Sciences Research Council

Medical Research Council

H2020 Excellent Science

Publisher

The Royal Society

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology

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