Event submissions
Published
This submission belongs to the session S1. Applied Biosciences and Bioengineering of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
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Roger NarayanCitation
Favour O. Igwezeke, Charles O. Nnadi, TransQSAR-pf: A Bio-Informed QSAR Framework Using Plasmodium falciparum Stress Signatures for Enhanced Antiplasmodial Activity Prediction, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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TransQSAR-pf: A Bio-Informed QSAR Framework Using Plasmodium falciparum Stress Signatures for Enhanced Antiplasmodial Activity Prediction
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Favour O. Igwezeke 1
Charles O. Nnadi 2
1. Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka 410001, Enugu, Nigeria
2. Department of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria, Nsukka 410001, Enugu, Nigeria
Abstract
Keywords
QSAR
transcriptomics
Plasmodium falciparum
machine learning
antimalarial drugs
boruta feature selection
drug discovery
malaria
Poster
TranQSAR_ASEC 2025_Poster.pdf