Author

Clare R. Harwood

University of NottinghamORCID 0000-0003-1403-3666Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:biophysical modeling· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Assay:proteomics· 1

Frequent Co-Authors

David A. SykesiD· 2 shared Dmitry B. VeprintseviD· 2 shared Eline J. KoersiD· 2 shared Armin Nikpour Khoshgrudi· 1 shared Asuman BunsuziD· 1 shared Bradley Angus Morgan· 1 shared Colin Nicholson· 1 shared Graham LaddsiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersPharmacology & Toxicology

David A. SykesORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologyFrontiers in PharmacologyPeer-reviewedMar 27, 2025

Agonist efficacy at the B2AR is driven by agonist-induced differences in receptor affinity for the Gs protein, not ligand binding kinetics.

Clare R. Harwood, David A. Sykes, Theo Redfern-Nichols…·Dmitry B. Veprintsev

This study shows that agonist efficacy at the {beta}2AR is determined by differences in receptor affinity for Gs protein, not ligand binding kinetics.

5 citations

humanproteomics

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BioinformaticsPharmacology Research & PerspectivesPeer-reviewedAug 26, 2022

Combined docking and machine learning identifies key molecular determinants of ligand pharmacological activity on β2 adrenoceptor.

Mireia Jiménez‐Rosés, Bradley Angus Morgan, Maria Jimenez Sigstad…·Dmitry B. Veprintsev

The paper uses docking and machine learning to identify molecular interactions that determine agonist or antagonist activity of β2 adrenoceptor ligands.

15 citations

humanprotein structure

𝕏 PostBluesky