Author

Oluwagbemiga O. Aina

Nigerian Institute of Medical ResearchORCID 0000-0002-0795-4785Unclaimed 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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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Afolabi J. OwoloyeiD· 2 shared Emmanuel Taiwo IdowuiD· 2 shared Funmilayo C. LigaliiD· 2 shared Kolapo Muyiwa OyebolaiD· 2 shared Ojochenemi A. EnejohiD· 2 shared Adesola Zaidat MusaiD· 1 shared Adesola Zaidat MusaiD· 1 shared Adetunji P. AdewoleiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 33 mutual co-author links

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2 shared papersBioinformatics

Afolabi J. OwoloyeORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Plasmo3Net: A Convolutional Neural Network-Based Algorithm for Detecting Malaria Parasites in Thin Blood Smear Images

Afolabi J. Owoloye, Funmilayo C. Ligali, Ojochenemi A. Enejoh, Oluwafemi Agosile, Adesola Zaidat Musa, Oluwagbemiga O. Aina, Adetunji P. Adewole, Emmanuel Taiwo Idowu, Kolapo Muyiwa Oyebola

This paper develops Plasmo3Net, a CNN-based algorithm for detecting malaria parasites in thin blood smears, achieving high accuracy and precision.

Next research. · Jul 1, 2026Peer-reviewedBioinformatics

Molecular docking, simulation and binding free energy analysis of small molecules as PfHT1 inhibitors

Afolabi J. Owoloye, Funmilayo C. Ligali, Ojochenemi A. Enejoh, Adesola Zaidat Musa, Oluwagbemiga Olanrewaju Aina, Emmanuel Taiwo Idowu, Kolapo Muyiwa Oyebola

The paper identifies five small molecules that inhibit PfHT1, a potential malaria drug target, through molecular docking, simulation, and binding energy analysis.

PLoS ONE · Aug 26, 2022Peer-reviewedBioinformatics