Author

Aya I. Maiyza

The City for Scientific Research and Technology Applications

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Open access Aug 2026

Machine learning-based prediction of SARS-CoV-2 bioactivity: integrating IC50 regression and activity classification using multi-task neural networks

An integrated ML framework for predicting IC50 and pIC50 values of compounds active against SARS-CoV-2, key indicators of antiviral potency, offering an alternative perspective on compound prioritization that has not been previously explored in SARS-CoV-2 bioactivity modeling.

Aya I. Maiyza, Sohila Osama, Hanan A Hassan · BMC Bioinformatics · 1 citation