I will teach computational drug discovery using machine learning

Welcome!

Would you like to learn how machine learning is applied in modern drug discovery without needing advanced programming skills?

This personalized training course is designed for students, researchers, pharmacists, biologists, bioinformaticians, and anyone interested in AI-driven drug discovery.

What You Will Learn

Module 1: Introduction to Drug Discovery

• Drug discovery workflow
• Role of artificial intelligence and machine learning
• Applications in pharmaceutical research

Module 2: Data Collection and Preparation

• Chemical datasets
• Molecular descriptors
• Data preprocessing
• Dataset cleaning

Module 3: Machine Learning Fundamentals

• Supervised learning
• Classification models
• Regression models
• Model evaluation metrics

Module 4: Machine Learning with KNIME

• Building workflows without coding
• Data preprocessing
• Feature selection
• Model training
• Model validation

Module 5: Machine Learning with Google Colab

• Introduction to Python notebooks
• Running machine learning models
• Practical examples for drug discovery
• Visualization and interpretation of results

Module 6: Drug Discovery Applications

• QSAR modeling
• Bioactivity prediction
• Virtual screening concepts
• Candidate prioritization

Good Luck!