Aim
In this course we consider "structural bioinformatics" to be the development and application of computational methods to analyse and predict the conformations of biological macromolecules and to study relationships between macromolecular structure and function. Protein molecules will be in focus, but other biological molecules will also be studied.
At the end of this course, students should: (i) be familiar with algorithms and data collections that are central to structural bioinformatics; (ii) understand computational methods used in protein modelling, docking, and other areas of structural bioinformatics; (iii) be aware of applications of structural bioinformatics that are directed towards understanding and predicting biological function.
Topics include: protein, nucleic acid and carbohydrate conformation; levels of protein structure; secondary structure assignment, including DSSP; assessing stereochemical quality; factors affecting protein stability; structure classification hierarchies; three-dimensional structures of biological macromolecules; contact maps and distance maps; domain assignment; structure superposition; structure comparison; comparative protein modelling; protein fold recognition; Monte Carlo methods and simulated annealing; ab initio protein structure prediction; protein shape representation; protein-ligand interactions and applications in drug design; conformational analysis; protein-protein docking; modelling transmembrane proteins, carbohydrates and RNA; applications of structural bioinformatics.
Location & Organization
Organizer
FLÄK - The Research School in Pharmaceutical Sciences
Course Director
Graham Kemp
Location / venue
Chalmers University of Technology
Timing & Workload
Duration 1 week
ECTS points 3
Frequency Annual
Examination yes
Criteria
Is the course taught in English? yes
Is documentation available? (book, syllabus)? yes
Is the course open for external researchers? yes
More Information
http://www.biol.lu.se/cellorgbiol/postgrad/courses/course_28.html
Categories
Enabling Technologies: Bioinformatics
Target Group
PhD students
Country
S
City
Göteborg
More information
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