Protein Structure Determination (P01560)

? Credit Points : 10 ? SCQF Level : 11 ? Acronym : BIO-P-PSD

This course will provide a hands-on approach in protein structure determination. Students will be given a data set of X-ray diffraction images and the structure of a protein will be determined by molecular replacement. For a major part of the course, students will use state-of-the-art computer software to determine the protein structure themselves. An introduction to each session will be given and the students will work on the various tasks independently; supervision will be provided ad hoc. The course will be accompanied by the X-ray crystallography seminars within the department.

Entry Requirements

? This course is not available to visting students.

? Pre-requisites : Entry to the course will be for students already holding (or expecting to hold) an Honours degree or equivalent in a biological subject such as biochemistry, molecular biology, biophysics, pharmacology. Students with a background in chemistry, physics, computer science or informatics will also be considered and those with other scientific or medical backgrounds should contact the Course Director

? Co-requisites : A knowledge of the UNIX II operating system is essential.

? Costs : None

Subject Areas

Home subject area

Postgraduate, (School of Biological Sciences, Schedule K)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 1 (Blocks 1-2)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

? Other Required Attendance : 1 hour(s) per week for 10 weeks

All of the following classes

Type	Day	Start	End	Area
Lecture	Monday	13:10	14:50	KB

Summary of Intended Learning Outcomes

Overall: a working knowledge of the crystallographic software in current use for protein crystal structure determination (i.e. the CCP4 package).
Specifically: crystal preparation and X-ray data collection
space-group determination and data reduction
methods for phase determination
electron density map calculation and interpretation
model building and refinement