Lecture on “Modeling protein mutations with Rosetta” at Leipzig University

Lecture on “Modeling protein mutations with Rosetta” at Leipzig University

December 05-19, 2019. This course teach theoretical and practical aspects of computational biology including the integration of Human Genetics with Molecular Modeling. It focus on aspects of protein sequence alignments, secondary structure prediction, comparative modeling, protein-protein and protein-ligand docking, structure-based drug design, virtual screening, the relationship of protein sequence, structure, variation, and disease. This course includes a practical section and is intended for PhDs, PostDocs and Students.

05.-06.12.2019, 9 AM – 04 PM
Module 1: STRUCTURE BASED MOLECULAR MODELING
Prof. Jens Meiler (Vanderbilt University/USA)

*Introduction to Structural Biology *Protein Structure Prediction with Rosetta
*Protein Structure Determination from Limited Experimental Data
* Protein Engineering and Design

09.-12.12.2019, 09 AM – 1 PM
Module 2: PERSONALIZED STRUCTURAL BIOLOGY: INTEGRATING GENETIC AND STRUCTURAL VARIATION
Prof. Tony Capra (Vanderbilt University/USA)

*The Sequence Data Revolution in Human Genomics
*Comparing and Searching DNA and Protein Sequences
*Human Evolution and the Genetic Architecture of Complex Traits
*The Genetics of Common and Rare Human Disease
*Personalized Structural Biology

16.-19.12.2019, 09 AM – 4 PM
Module 3: ADVANCED MODELING TECHNIQUES
Dr. Rocco Moretti (Vanderbilt University/USA)
Prof. Peter Hildebrand (Leipzig University)

*Protein Structure Prediction
*Protein Docking & Protein Design
*Bringing Molecular Dynamic
Simulations into View

Literatur
Scientific papers will be assigned prior to class. Students are expected to review literature, study one paper in detail, and prepare a 10min presentation on that paper’s topic

Venue
Biotechnologisch-Biomedizinisches Zentrum (BBZ), Conference room 2, Deutscher Platz 5, 04103 Leipzig

Registration
Please register by sending an E-Mail to albrecht@uni-leipzig.de.

The research lecture is funded by the Max-Kade Foundation.

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