Single-Course Engelsk 5 ECTS

Protein structure and computational biology

Overall Course Objectives

The aim of the course is to enable students to analyse protein structure and function for the purpose of understanding of disease-related mutations and rational design. This includes practical computer exercises dealing with construction and validation of models of proteins for which no experimental structure is available, as this allows prediction of biological properties of novel proteins.

See course description in Danish

Learning Objectives

  • reproduce the 20 natural amino acids and account for their structural and chemical properties
  • describe the basic protein structure elements and their properties
  • evaluate the quality of experimental and model structures.
  • navigate PDB database and operate the basic functions of the program PyMOL for visualisation of protein structure.
  • construct models of a protein of unknown structure and analyze them.
  • predict the effect of point mutations on the interaction with ligands, conformational changes and other structural properties.
  • design and develop a scientific article and learn principles for peer-review.
  • learning the basics of working with command-line tools.

Course Content

Protein structure from primary to quaternary, experimental determination of protein structures, structural genomics, prediction of secondary structure, accessibility etc, fold recognition, homology and de novo modelling, structure validation, protein structure analysis, protein engineering, molecular dynamics simulations.

Recommended prerequisites

22111/22113, Basic knowledge of Bioinformatics and Chemistry

Teaching Method

Lectures with flipped-class, computer exercises, hand-in exercises and group work

Faculty

Remarks

The project work at the end of the course is performed in small, self-elected groups with members from different expertises/background and completed with scientific articles.

The hand-in exercises (2) deal mainly with protein structure visualisation using the program PyMOL. The models will be predicted with HHPred and AlphaFold2. The mutational scans will be performed using FoldX and similar tools. For part of the exercises and in the project work, we will work on a Linux Cluster using the terminal and command-line based software.

Limited number of seats

Minimum: 10, Maximum: 100.

Please be aware that this course has a minimum requirement for the number of participants needed, in order for it to be held. If these requirements are not met, then the course will not be held. Furthermore, there is a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.

See course in the course database.

Registration

Language

Engelsk

Duration

13 weeks

Institute

Health Tech

Place

DTU Lyngby Campus

Course code 22117
Course type Candidate
Semester start Week 6
Semester end Week 20
Days Wed 8-12
Price

9.250,00 DKK

Please note that this course has participants limitation. Read more

Registration