M. Mbarki

Interpretable Machine Learning Frameworks for QSAR Modeling: A Comparative Study of Classical Algorithms and Transformer-CNN Architectures

Phosphodiesterase type 5A (PDE5A) inhibitors represent an important class of bioactive molecules with therapeutic relevance across cardiovascular, neurological, and oncological disorders. In this work, we develop an interpretable Quantitative Structure–Activity Relationship (QSAR) framework that integrates classical...