Muhammad Tahir Ul Qamar

Deep Learning Pipeline for Accelerating Virtual Screening in Drug Discovery.

This chapter explores the systematic deep learning pipeline for virtual screening, covering data acquisition, molecular representation learning, model architectures, training strategies, and uncertainty estimation, and discusses advanced model optimization techniques, including curriculum learning, transfer learning, and adversarial training, which enhance predictive accuracy and robustness.