Postgraduate Course: Computer-Aided Drug Design (CHEM11048)
Course Outline
| School | School of Chemistry |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
| Course type | Online Distance Learning |
Availability | Not available to visiting students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | An online distance-learning course covering key areas of computational chemistry methods as applied to the modelling of biological processes and to rational drug design, building on students' knowledge of theoretical chemistry. |
| Course description |
The course comprises lecture courses and interactive sessions on: structural biology, cheminformatics, biophysics and protein-ligand interactions, medicinal chemistry, molecular simulations and case studies highlighting recent successes.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | At least a 2:1 BSc (Hons) degree or equivalent in chemistry, physics, or other cognate discipline. Formal enrolment only for PG students on the distance learning PG Cert programme. Not available as formal credit-bearing courses to Tier 4 visa students or to other visiting students. |
| Additional Costs | Students must have regular and reliable access to the internet. |
Course Delivery Information
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| Academic year 2015/16, Not available to visiting students (SS1)
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Quota: None |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Please contact the School directly for a breakdown of Learning and Teaching Activities |
| Assessment (Further Info) |
Written Exam
25 %,
Coursework
75 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
The course is assessed on the basis of coursework and an 'open-book' online exam. Written Exam 25 %, Coursework 75 %. |
| Feedback |
Feedback will be provided through two major channels:
Tutorials: Each of the five course topics will have questions for you to complete prior to an online tutorial where the questions and answers will be discussed. Feedback will also be given when you receive your grade.
Continual assessments: In addition to the tutorial problems, assessments based on the practical use of computational chemistry software and a journal club will be carried out for each topic. Feedback will be given when you receive your grade and there will be opportunity for discussions in the online tutorial.
Towards the end of the course you will also be given the opportunity to provide us with feedback regarding all aspects of the course.
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| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand and describe the theoretical ideas that underpin modern molecular modelling techniques, develop the knowledge and understanding of why and how the techniques were formulated and appreciate how they are used to address drug discovery problems.
- Develop the confidence to apply computational chemistry knowledge to solve chemical problems, understanding the chosen molecular modelling methods and develop the analytical and computing skills, including familiarity with the software, required to do so.
- Analyse scientific data to formulate reasoned arguments and be critical of both computational chemistry and experimental techniques.
- Use a high-performance computing cluster to generate numerical data to analyse in order to complete written practical assignments.
- Be responsible for completing continuous assessment tasks based on the lecture topics and participate in discussions with peers during synchronous online tutorials and critique them in peer assessments.
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Additional Information
| Course URL |
www.ccm.chem.ed.ac.uk |
| Graduate Attributes and Skills |
1. Advanced data analysis and processing skills, including using a variety of computational chemistry software.
2. Highly developed written communication skills (continual assessments).
3. Ability to work independently (continual assessments).
4. Advanced computing skills (use of a HPC linux cluster). |
| Additional Class Delivery Information |
One of five topics, comprising five video lectures and associated continuous assessments, will be presented per two-week teaching block. Each topic will have an online tutorial. |
| Keywords | Computational chemistry,molecular modelling,drug design |
Contacts
| Course organiser | Dr Carole Morrison
Tel: (0131 6)50 4725
Email: Carole.Morrison@ed.ac.uk |
Course secretary | Dr David Michael Rogers
Tel: (0131 6)50 4830
Email: David.Rogers@ed.ac.uk |
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