Author

Temidayo Olamide Adigun

University of IlorinORCID 0000-0002-6218-7742Unclaimed 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· 2 Approach:machine learning (classical)· 1 Approach:simulation· 1 Approach:statistical model· 1

Frequent Co-Authors

Ahmeedah Ololade Ajibola· 2 shared Ifelolu Adeseye Remi-Esan· 2 shared Ireoluwa Yinka JoeliD· 2 shared Olukayode Olusola Bankole· 2 shared Ugochukwu Okechukwu OzojioforiD· 2 shared Aminat Ifeoluwa Akande· 1 shared Bankole Emmanuel OfeniforoiD· 1 shared Faith Beyaan Auta· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Ahmeedah Ololade Ajibola

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 10, 2020

Development of Putative Isospecific Inhibitors for HDAC6 using Random Forest, QM-Polarized docking, Induced-fit docking, and Quantum mechanics

Ireoluwa Yinka Joel, Temidayo Olamide Adigun, Olukayode Olusola Bankole…·Aminat Ifeoluwa Akande

The paper develops a Random Forest model to screen for HDAC6 inhibitors, identifies two benzimidazole compounds with high binding affinity and putative specificity, and validates their ADMET properties.

1 citation

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJul 29, 2020

Virtual Screening and Elucidation of Putative Binding Mode for Small Molecule Antagonist of BCL2 BH4 Domain

Ireoluwa Yinka Joel, Temidayo Olamide Adigun, Ahmeedah Ololade Ajibola…·Lateef Adegboyega Sulaimon

The paper identifies 11 small molecule antagonists of the BCL2 BH4 domain through virtual screening and proposes their binding modes using computational methods.

1 citation

statistical modelsimulation

𝕏 PostBluesky