Author

Kwabena F.M. Opuni

University of GhanaORCID 0000-0003-1653-1458Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Andy Andoh Mensah· 1 shared Bernice Ampomah· 1 shared Cyril Nii Okai-Kommey Tetteh· 1 shared Hans‐Juergen Thiesen· 1 shared Lawrence Asamoah AdutwumiD· 1 shared Mahmood Brobbey OppongiD· 1 shared Michael LarteyiD· 1 shared Michael O. GlockeriD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Andy Andoh Mensah

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2 papers

Recent·Most cited

BioinformaticsBioinformatics and Biology InsightsPeer-reviewedAug 1, 2025

Repurposing of Anti-infectives for the Management of Onchocerciasis using Machine Learning and Protein Docking Studies

Cyril Nii Okai-Kommey Tetteh, Andy Andoh Mensah, Bernice Ampomah…·Lawrence Asamoah Adutwum

This study uses machine learning and molecular docking to identify 14 anti-infective drugs that may be repurposed for onchocerciasis treatment, showing binding affinities similar to existing drugs.

1 citation

machine learning (classical)drug response / drug discovery

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Molecular BiologybioRxivPreprintDec 14, 2021

Compared with SARS-CoV2 wild type's spike protein, the SARS-CoV2 omicron's receptor binding motif has adopted a more SARS-CoV1 and/or bat/civet-like structure.

Michael O. Glocker, Kwabena F.M. Opuni, Hans‐Juergen Thiesen

The paper compares the receptor binding motif of SARS-CoV2 omicron variants to wild type and SARS-CoV1/bat/civet structures, finding weaker ACE2 binding and implications for viral fitness and immune response.

4 citations

humanprotein structure

𝕏 PostBluesky