Postgraduate Course: Protein Molecular Modelling Practical Skills (PGBI11111)

Course Outline
School	School of Biological Sciences	College	College of Science and Engineering
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	10	ECTS Credits	5
Summary	During a typical molecular modelling project a protein structure might be modelled by homology modelling, its motions simulated by molecular dynamics and possible inhibitors discovered by virtual screening. This course will look in detail at these techniques, and the students will be given practical experience of them within a typical molecular modelling computational environment
Course description	Week 1 lecture Template structure selection for homology modelling/introduction to accompanying practical session Week 2 Practical session on template selection Week 3 introduction to Essay assignment, example paper analysis Week 4 Homology model construction and validation Week 5 Practical session concentrating on validation Week 6 Model preparation for molecular dynamics Week 7 practical session on preparing structure and starting dynamics run Week 8 Dynamics trajectory analysis and validation Week 9 Virtual screening methods. Week 10 Scoring methods in virtual screening.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites	Students MUST have passed: Molecular Modelling and Database Mining (PGBI11023)	Co-requisites
Prohibited Combinations	Students MUST NOT also be taking Molecular Modelling (PGBI11078) OR In Silico Drug Discovery (PGBI11079)	Other requirements	None

Course Delivery Information

Academic year 2017/18, Not available to visiting students (SS1)		Quota: None
Course Start	Semester 2
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 100 ( Lecture Hours 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78 )
Assessment (Further Info)	Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment)	Practical report on work done during session 50% Essay based critique of paper in relevant area 50%
Feedback	Not entered
No Exam Information

Learning Outcomes
On completion of this course, the student will be able to: On successful completion of the course, students should be able to demonstrate an understanding of the technologies that underpin the three featured techniques. Students should also have demonstrated the ability to successfully complete and critically analyse the results from these techniques.