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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Kady Silué

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Open access Aug 2026

MACHINE LEARNING-BASED QSAR MODELING OF TRICLOSAN ANALOGS FOR ANTIPLASMODIAL ACTIVITY PREDICTION USING SHRINKAGE REGRESSION MODEL AND TOPOLOGICAL-PHYSICOCHEMICAL DESCRIPTORS

The RFECV–Ridge QSAR framework provides a reliable and interpretable approach for virtual screening and rational design of novel pfENR inhibitors and highlights the importance of carefully selected descriptors in improving both interpretability and accuracy.

Désiré Meledje, Aubin N’GUESSAN, Kady Silué et al. · 0 citations

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