772304 Protein chemistry and protein engineering (in Eng.)

Art
Vorlesung und Übung
Semesterstunden
3
Vortragende/r (Mitwirkende/r)
Zajc, Charlotte , Oostenbrink, Chris , Furtmüller, Paul Georg , Peterbauer, Clemens Karl , Ludwig, Roland , Wozniak-Knopp, Gordana
Organisation
Angeboten im Semester
Sommersemester 2024
Unterrichts-/ Lehrsprachen
Englisch
Lehrinhalt

THEORETICAL PART - LECTURES
The theoretical parts might not be presented in this order!

Unit 1: Historical perspective, Therapeutic use of antibodies, Evolution in nature and in the lab: ZAJC

Unit 2: Forces between molecules, Protein structures: ZAJC

Unit 3: Thermodynamics of protein folding and unfolding: ZAJC

Unit 4: Real-world examples for recent advances in protein engineering: ZAJC

Unit 5: Mutagenesis strategies I: PETERBAUER

Unit 6: Mutagenesis strategies II: PETERBAUER

Unit 7: Protein libraries: WOZNIAK-KNOPP

Unit 8: Surface Display: WOZNIAK-KNOPP

Unit 9: Protein dynamics and molecular dynamics simulations: OOSTENBRINK

Unit 10: Functional studies on proteins I: Enzyme kinetics (steady-state versus presteady kinetics): FURTMÜLLER

Unit 11: Functional studies on proteins II: Ligand binding and protein-protein interaction (surface plasmon resonance, biolayer interferometry ect.): FURTMÜLLER


PRACTICAL PART:

Databases and phylogeny: LUDWIG

Protein structure modeling and prediction: OOSTENBRINK
Inhaltliche Voraussetzungen (erwartete Kenntnisse)

Basic lectures in Organic Chemistry, Biochemistry and Molecular Biology
Lehrziel

After completing this course and passing the exam students should understand the relationship between protein structure and function as well as protein dynamics and stability. Moreover they will have an overview about the most important techniques in elucidation of protein structure and quality. The principles in protein design and engineering will be discussed as well as the use of the most important databases, elucidation of protein phylogeny. Further, students will gain insight into the basics in protein modeling and structure prediction.
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