Author

Moyege Daniel Oyemomi

University of IlorinORCID 0009-0009-8432-1947Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Abdulmalik AbdulfataiiD· 1 shared Adebowale OshoiD· 1 shared Samson Ayorinde OniiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Abdulmalik AbdulfataiORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMay 19, 2026

Computational Design of Novel Selective Phosphodiesterase 4B Inhibitors from Natural Products: An Integrated Machine Learning and Structure-Based Drug Discovery Approach

Samson Ayorinde Oni, Moyege Daniel Oyemomi, Adebowale Osho, Abdulmalik Abdulfatai

The paper identifies PDE4B-selective inhibitors from natural products using machine learning and molecular docking, highlighting LTS0048837 as a promising lead.

DOI 10.64898/2026.05.16.725619

machine learning (classical)drug response / drug discovery

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