
Explore generative models for molecular structures, focusing on applications in drug discovery and computational chemistry.

Explore machine learning applications in structure-based drug discovery, focusing on innovative techniques and their impact on pharmaceutical research.

Explore cutting-edge molecular machine learning techniques for drug design, focusing on property prediction to enhance pharmaceutical development.

Master essential techniques for preparing chemical libraries and conducting virtual ligand screening using ICM-Pro, focusing on efficient ligand docking methodologies and computational analysis.

Discover how generative AI revolutionizes drug discovery through innovative hit identification and optimization techniques, presented by a leading expert in machine learning research.

Explore cutting-edge applications of machine learning in early-stage drug design, focusing on property prediction and molecule generation techniques for pharmaceutical development.

Master structure-based virtual ligand screening techniques using ICM-Pro software, from project setup and file preparation to running screens, analyzing results, and creating hitlists.