Author

Pattarin Hompluem

University of Nottingham

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:biophysical modeling· 1 Organism:human· 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 Asuman BunsuziD· 1 shared Bradley Angus Morgan· 1 shared Clare R. HarwoodiD· 1 shared Darya Plevako· 1 shared Iain B. StylesiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBiophysics

David A. SykesORCID

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2 papers

Recent·Most cited

Probing drug-target engagement of soluble Gαi1 protein using the SolThermoBRET thermal shift assay

Oscar Brod, Darya Plevako, Themiya Perera, Pattarin Hompluem, Eline J. Koers, Manuel Hilbert, David A. Sykes, Dmitry B. Veprintsev

This paper introduces a high-throughput BRET-based thermal shift assay to measure protein stability and ligand interactions with Gi1 protein without purification.

bioRxiv · Feb 15, 2024 · PreprintBiophysics

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, Thuy Duong Zoe Tran, Rohini Srivastava, Asuman Bunsuz, Leire Borrega Roman, Pattarin Hompluem, Sean A. Cullum, Clare R. Harwood, Eline J. Koers, David A. Sykes, Iain B. Styles, Dmitry B. Veprintsev

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

Pharmacology Research & Perspectives · Aug 26, 2022Peer-reviewedBioinformatics