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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2017/2018

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Protein Molecular Modelling Practical Skills (PGBI11111)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
SummaryDuring 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 Course Outline

The course will take the structure of a series of discussed short presentations and/or practical sessions. Topics may carry across to later sessions if required. Students should read the papers given in learn before the requisite session.

Week 1 Presentation/discussion 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 Presentation/discussion homology model construction and validation
Week 5 Practical session concentrating on validation
Week 6 Presentation/discussion model preparation for molecular dynamics
Week 7 Practical session on preparing structure and starting dynamics run
Week 8 Presentation/discussion - dynamics trajectory analysis and validation
Week 9 Presentation/discussion - virtual screening methods.
Week 10 Practical session on 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:
  1. demonstrate an understanding of the technologies that underpin the three featured techniques.
  2. demonstrate the ability to successfully complete and critically analyse the results from these techniques.
Reading List
None
Additional Information
Graduate Attributes and Skills Enhanced computing skills
KeywordsProteinPractical
Contacts
Course organiserDr Paul Taylor
Tel: (0131 6)50 7058
Email:
Course secretaryMiss Sarah Harvey
Tel: (0131 6)51 7052
Email:
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