Author

H. T. Henry Chan

University of OxfordORCID 0000-0001-8838-6136Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Organism:virus· 2 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:simulation· 1

Frequent Co-Authors

Christopher John SchofieldiD· 2 shared Claire M. Strain-DamerelliD· 2 shared Fernanda DuarteiD· 2 shared Martin Austin WalshiD· 2 shared Petra LukacikiD· 2 shared Adrian John MulhollandiD· 1 shared Alessio LodolaiD· 1 shared Callum D. OweniD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Christopher John SchofieldORCID

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2 papers

Recent·Most cited

BioinformaticsRSC Chemical BiologyPeer-reviewedOct 24, 2023

Studies on the selectivity of the SARS-CoV-2 papain-like protease reveal the importance of the P2' proline of the viral polyprotein

H. T. Henry Chan, Lennart Brewitz, Petra Lukacik…·Fernanda Duarte

This study investigates how the P2' proline residue affects SARS-CoV-2 PLpro catalytic efficiency using molecular dynamics and substrate analysis.

10 citations

virusstatistical model

𝕏 PostBluesky

BioinformaticsChemical SciencePeer-reviewedJan 1, 2021

Discovery of SARS-CoV-2 Mpro Peptide Inhibitors from Modelling Substrate and Ligand Binding

H. T. Henry Chan, Marc A. Moesser, Rebecca K. Walters…·Garrett M. Morris

The paper models SARS-CoV-2 Mpro substrate and ligand binding to identify new inhibitor opportunities through computational analysis of binding interactions.

90 citationstop 1%

virusprotein structure

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