Resources

Here you will find resources relevant to the course and to computational thinking for biochemistry in general.

Biochemistry and Proteins

• Protein Design using Deep Learning, talk by David Baker, a legend in the field.

Computational Thinking and CS Basics

• Python for Scientists, course I lectured together with Lukas Jarosch in 2022/23.
• Introduction to Data Analysis with R, course by Jannik Buhr (former biochemistry student at Heidelberg)
• Missing Semester, useful practical programming skills that make your life easier (can be intimidating at first, but don’t worry if you do not understand everything the first time!)

Machine Learning Resources

• fast.ai course, starts with practical coding and then goes on to explain the math behind it.
• Deep Learning Course by Andrew NG, by now a classic in the field
• List of Resources from Justas Dauparas, researcher in Protein Design and creator of ProteinMPNN, a popular tool for Protein Design.