Author

Charles Okechukwu Esimone

Nnamdi Azikiwe UniversityORCID 0000-0002-1753-6763Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Organism:human· 1 Approach:simulation· 1

Frequent Co-Authors

Adekunle Babajide RowaiyeiD· 2 shared Alex Akpa· 2 shared Ikemefuna Chijioke UzochukwuiD· 2 shared Amy J. Rezac· 1 shared Bernard E. Ebruke· 1 shared Binta W. Jibir· 1 shared Carissa DuruiD· 1 shared Chukwuma E Onuchukwu· 1 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Adekunle Babajide RowaiyeORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Molecular Characterization of invasive Enterobacteriaceae from Pediatric Patients in Central and Northwestern Nigeria

Carissa Duru, Grace Mfon Olanipekun, Vivian Odili, Nicholas J. Kocmich, Amy J. Rezac, Theresa Ajose, Nubwa Medugu, Dominic D. Umoru, Chukwuma E Onuchukwu, Huda Munir, Binta W. Jibir, Zubaida Ladan Farouk, Safiya Gambo, Fatimah Hassan-Hanga, Rasaq Olaosebikan, , Stephen Obaro

This study characterizes ESBL resistance in Enterobacteriaceae from pediatric bacteremia patients in Nigeria, identifying high prevalence of resistance genes and antibiotic susceptibility patterns.

PLoS ONE · Oct 26, 2020Peer-reviewedMolecular Biology

The Structure-Based Virtual Screening for Natural Compounds that Bind with the Activating Receptors of Natural Killer Cells

Adekunle Babajide Rowaiye, Solomon Oluwasunmibare Oni, Ikemefuna Chijioke Uzochukwu, Alex Akpa, Charles Okechukwu Esimone

This study identifies 17 natural compounds with strong binding affinity for NK cell activating receptors through computational screening and analysis.

bioRxiv · Jun 19, 2020 · PreprintBioinformatics

IN SILICO SCREENING AND MOLECULAR DYNAMIC SIMULATION STUDIES OF POTENTIAL SMALL MOLECULE IMMUNOMODULATORS OF THE KIR2DS2 RECEPTOR

Adekunle Babajide Rowaiye, Olujide Oludayo Olubiyi, Doofan Bur, Ikemefuna Chijioke Uzochukwu, Alex Akpa, Charles Okechukwu Esimone

This study identifies small molecule natural compounds with strong binding affinity to KIR2DS2 using in silico screening and molecular dynamics simulations.

bioRxiv · May 10, 2020 · PreprintBioinformatics