Protein Prediction I for Computer Scientists

What it is about

You learn the fundamentals and methods for predicting protein structure and function from sequence data. By the end you will be able to explain the most important 1D/2D/3D prediction methods, select suitable computer-assisted approaches, and design and implement simple ML/AI-based solutions up to the pseudocode level.

What you will be able to do

• Understand the basic principles of protein structure prediction
• Know methods of protein sequence analysis
• Master the biological and computational basics of the presented methods
• Acquire theoretical knowledge for developing your own solutions
• Deal with overfitting, data bias, and data leakage in ML/AI solutions
• Develop and implement original ML/AI solutions under supervision

What the module consists of

• VorlesungTransmission of the theoretical background on all topics including Q&A
• ÜbungPractical programming exercises, deepening, presentations and Q&A
• Projektarbeit (in Übungen)Development or testing of an ML-based solution, presentation at the end of the semester

Teaching method

• Vorlesungen (Beamer & Whiteboard, interaktiv)Explanation of the theoretical background and exchange via Q&A
• Whiteboard-only VorträgeInteractive conveyance of complex content
• ProgrammierübungenApplication of the lecture material and development of practical skills
• Gruppenprojekte mit TutorbetreuungDevelopment of original scientific analyses and implementations