Machine Learning for Drug Discovery

Duration:

8 Weeks (1 Module per Week)

Prerequisites:

• Basic understanding of molecular biology (e.g., what proteins, compounds, and targets are)
• Introductory knowledge of AI/ML (classification, regression)
• Some programming experience (preferably Python)

Learning Objectives:

By the end of this course, students will be able to:

1. Understand the drug discovery pipeline and where machine learning methods can be applied.
2. Identify and preprocess relevant chemical and biological data for ML modeling.
3. Employ ML techniques for target identification, virtual screening, and lead optimization.
4. Assess model performance, interpret predictions, and refine models for improved accuracy.
5. Recognize current limitations, challenges, and emerging trends in AI-driven drug discovery.