Deep Learning–Based QSAR Framework for Cannabis-Derived Antimalarial Molecules: Toward Intelligent and Self-Optimized Drug Discovery Systems

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SPIRE - Sciences Po Institutional REpository
Published
2025-12-19
Primary Topic
Computational Drug Discovery Methods
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article

Deep Learning–Based QSAR Framework for Cannabis-Derived Antimalarial Molecules: Toward Intelligent and Self-Optimized Drug Discovery Systems

Rachid Haloui, Amine Ballari, Khadija Khaddam Allah, Mohammed El Moufakir et al.
SPIRE - Sciences Po Institutional REpository
Computational Drug Discovery Methods
article

Deep Learning–Based QSAR Framework for Cannabis-Derived Antimalarial Molecules: Toward Intelligent and Self-Optimized Drug Discovery Systems

Rachid Haloui, Amine Ballari, Khadija Khaddam Allah, Mohammed El Moufakir, Souad Elkhattabi, Samir Chtita, Kaouakeb El Khattabi, Abdelmoula El Abbouchi
article en

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No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
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Computational Drug Discovery Methods
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Deep Learning–Based QSAR Framework for Cannabis-Derived Antimalarial Molecules: Toward Intelligent and Self-Optimized Drug Discovery Systems — Rachid Haloui, Amine Ballari, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS