Exercises
Here you will find the projects/exercises you will be working on in this course. The PyMol exercises are mostly adapted from this great resource
Exercise 10 - Drug Design (Docking and Generative)
Small molecules for the win Continue reading Exercise 10 - Drug Design (Docking and Generative)
Exercise 9b - Nucleic Acids and transcription factors
Love at first sight Continue reading Exercise 9b - Nucleic Acids and transcription factors
Exercise 9 - Simulations
How we can go beyond static protein structures Continue reading Exercise 9 - Simulations
Exercise 8b - Enzyme Design
How enzymes do their job and how we can learn from them Continue reading Exercise 8b - Enzyme Design
Exercise 8 - Protein Design
How to create novel proteins Continue reading Exercise 8 - Protein Design
Exercise 7 - Generative Modelling
How to generate new data Continue reading Exercise 7 - Generative Modelling
Exercise 6 - Protein structure prediction
How to understand structure from sequence Continue reading Exercise 6 - Protein structure prediction
Exercise 5 - Geometric Deep Learning
How can we describe molecules on the computer? Continue reading Exercise 5 - Geometric Deep Learning
Exercise 4 - Evolution and Bioinformatics
Why proteins are not as simple as dog images Continue reading Exercise 4 - Evolution and Bioinformatics
Exercise 3 - A Zoo of Models
The revolution will not be televised Continue reading Exercise 3 - A Zoo of Models
Exercise 2 - Machine Learning in Biochemistry
The revolution will not be supervised Continue reading Exercise 2 - Machine Learning in Biochemistry
Exercise 1b - PyMol Scripting
Start using the PyMol scripting language Continue reading Exercise 1b - PyMol Scripting
Exercise 1a - How do proteins digest food but not themselves?
Learn more about protein function Continue reading Exercise 1a - How do proteins digest food but not themselves?
Exercise 0a - Showing proteins from their best side
Getting used to the PyMol GUI Continue reading Exercise 0a - Showing proteins from their best side
