Automated drug design for druggable target identification using integrated stacked autoencoder and hierarchically self-adaptive optimization
{{output}}
Drug classification and target identification are crucial yet challenging steps in drug discovery. Existing methods often suffer from inefficiencies, overfitting, and limited scalability. Traditional approaches like support vector machines and XGBoost struggle... ...
