Nanocourse: Computational Protein Design
- Fully booked
- Start: Oct 26, 2021
- End: Oct 27, 2021
- Speaker: Sebastian Rämisch
- Dr. Sebastian Rämisch is a scientist in the Bioinformatics Team at the Max Planck Unit for the Science of Pathogens.
- Location: Max Planck Institute for Molecular Genetics
- Room: Seminar room 2 and IT teaching room
- Host: Kirsten Kelleher
Please register for this course by emailing kelleher@molgen.mpg.de
Abstract
Engineering proteins, and - ultimately - designing new proteins from scratch, is both scientifically very challenging and highly useful. Its current and potential applications are exceedingly exciting, ranging from improved enzymes for biotechnological production of chemicals like biofuel, to the design of research tools like biosensors and drugs that act as inhibitors or highly specialized vaccines. This course will contain a series of short lectures governing the principles of computer-guided protein engineering and de novo design.
Many examples will describe aspects of protein design for vaccine development and the design of small protein binders.
Topics covered
- Molecular Mechanics
- Force-fields for energy calculation
- Monte Carlo sampling
- Sequence library design for directed evolution
- Designing new protein structures de novo
- Protein design using machine-learning
Practical skills
Hands-on protein design using the Rosetta Macromolecular Modeling software (The problem to work on might be chosen based on preferences in the class.)
Prerequisites
- Unix shell (if you need an introduction to this, please mention it when registering)
- Beneficial but not required: basic Python
knowledge (please also mention where you stand, when registering)