Proteins
In these posts I write about my favourite kind of molecules: Proteins and the wonders they do. Focus is on the ML/CompBio area.
Lesson 11 - Further topics and conclusion
What else is out there Continue reading Lesson 11 - Further topics and conclusion
Lesson 10 - Drug Design (Docking and Generative)
Small molecules for the win Continue reading Lesson 10 - Drug Design (Docking and Generative)
Lesson 9 - Simulations
How we can go beyond static protein structures Continue reading Lesson 9 - Simulations
Lesson 8 - Protein Design
How to create novel proteins Continue reading Lesson 8 - Protein Design
Lesson 7 - Generative Modelling
How to generate new data Continue reading Lesson 7 - Generative Modelling
Lesson 6 - Protein structure prediction
How to understand structure from sequence Continue reading Lesson 6 - Protein structure prediction
Lesson 5 - Geometric Deep Learning (GNNs)
How can we describe molecules on the computer? Continue reading Lesson 5 - Geometric Deep Learning (GNNs)
Lesson 4 - Evolution, Language and Bioinformatics
Why proteins are not as simple as dog images Continue reading Lesson 4 - Evolution, Language and Bioinformatics
Lesson 3 - A Zoo of Models
The revolution will not be supervised Continue reading Lesson 3 - A Zoo of Models
Lesson 2 - Machine Learning in Biochemistry
The revolution will not be supervised Continue reading Lesson 2 - Machine Learning in Biochemistry
Lesson 1b - PyMol Scripting
How to use your keyboard to dive into the world of proteins Continue reading Lesson 1b - PyMol Scripting
Lesson 1 - Introduction
How to use PyMol to dive into the world of proteins Continue reading Lesson 1 - Introduction
Introduction - Why this course?
Why we offer this course and what you can expect to learn Continue reading Introduction - Why this course?