ORCID verified
3 Jul 2026Open access
Chalcone derivatives for antimalarial drug discovery: drug-likeness evaluation and chemical space analysisPublisher siteAcademia Drug Development and Pharmacotherapy, Computational Drug Discovery Methods
Active, last published 2026
In computational drug discovery methods
Beatrice Nkiruka
Iwuala
Pioneer
Scholar
Expert“Research focused on Computational Drug Discovery Methods and adjacent fields.”
2
H-index
5
Citations
This profile has been officially claimed and verified.
Honours
Pioneer
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01 · About the work
What I study
eatrice Nkiruka Iwuala is a researcher working on Computational Drug Discovery Methods. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Beatrice's work has been cited 5 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Computational Drug Discovery Methods×2
04 · Where I am
Affiliations
Affiliation on published researchAhmadu Bello University, NigeriaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
6 works12 May 2026Open access
Optimizing antimalarial discovery: A robust machine learning framework for chalcone bioactivity prediction using ensemble classifiers and oversampling strategiesPublisher siteScientific African, Computational Drug Discovery Methods
1 Jan 2026Open access
Optimizing Antimalarial Discovery: A Robust Machine Learning Framework for Chalcone Bioactivity Prediction Using Ensemble Classifiers and Oversampling StrategiesPublisher siteSSRN Electronic Journal, Computational Drug Discovery Methods
1 Jan 2026Open access
Machine Learning QSAR-Guided Design and Molecular Docking of Chalcone Derivatives as Potent Inhibitors of Plasmodium falciparum Dihydroorotate Dehydrogenase (PfDHODH)Publisher siteSSRN Electronic Journal, Biochemical and Molecular Research
1 Jan 2025Open access2cites
Quantitative structure-activity relationship (QSAR) studies of dihydroorotate dehydrogenase inhibitors of Plasmodium falciparum for the combat of malaria resistance using machine learning models classification approachPublisher siteIn Silico Research in Biomedicine, Computational Drug Discovery Methods
10 Aug 2018Open access3cites
Synthesis and Antimicrobial Evaluation of N,N'-(4-Nitro-1,2-phenylene)diamide DerivativesPublisher siteTropical Journal of Natural Product Research, Synthesis and biological activity
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