Author

Ojochenemi A. Enejoh

National Biotechnology Development AgencyORCID 0000-0002-5684-2472Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 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 Oluwagbemiga Olanrewaju AinaiD· 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

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Afolabi J. OwoloyeORCID

Mutual co-authors in cluster

Author profile →

3 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

Computational Identification of Potential Inhibitors Targeting cdk1 in Colorectal Cancer

Uchechukwu Chibuzo Ogbodo, Ojochenemi A. Enejoh, Chinelo Henrietta Okonkwo, Pranavathiyani Gnanasekar, Pauline Wambui Gachanja, Shamim W Osata, Halimat Chisom Atanda, Emmanuel Amarachi Iwuchukwu, Ikechukwu Achilonu, Olaitan Igbagbo Awe

This study identifies four potential CDK1 inhibitors through molecular docking and dynamics simulations for colorectal cancer treatment.

Frontiers in Chemistry · Nov 30, 2023Peer-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