Postgraduate Course: Introduction to Modelling Biological Systems (PGBI11072)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Not available to visiting students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Postgraduate |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | **Online Distance Learning Course**
Next Generation Drug Discovery will address the problem that drugs designed against a specific target don't always work as they were intended. In particular, when a drug target is part of a pathway, its inhibition often isn't as effective as was predicted from the properties of the protein in isolation. This course will introduce kinetic modelling of a system of enzymes in which the system has emergent properties that were not obvious from the behaviour of the individual components. The effects of putative inhibitors to one or more of these will be investigated by creating computer models. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
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| Delivery period: 2013/14 Semester 1, Not available to visiting students (SS1)
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Learn enabled: No |
Quota: 0 |
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Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Please contact the School directly for a breakdown of Learning and Teaching Activities |
| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Please contact the School directly for a breakdown of Assessment Methods
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| No Exam Information |
Summary of Intended Learning Outcomes
At the end of this course, students should be able to:
- Derive kinetic parameters from the scientific literature and databases;
- Model the time evolution of substrates and products for an individual enzyme;
- Make more sophisticated models by including more elements;
- Investigate emergent properties of a system of enzymes;
- Appreciate how model properties may be verified experimentally |
Assessment Information
50% = Group Assessment (including maximum 20% variation for Peer Assessment of contribution)
50% = Electronic Portfolio (comprising of learning log and contribution to skills profile)
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Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | IntroMBS |
Contacts
| Course organiser | Dr Linda Gilmore
Tel: (0131 6)50 7047
Email: |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: |
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