Postgraduate Course: Systems Approach to Modelling Cell Signal Transduction (PGBI11081)
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**
A major hope of the human genome project was that a fuller understanding of the genes associated with disease states would lead to a more rapid production of new lead compounds. In fact we also have to include the knowledge of how the biological organism responds to drugs. An aim of systems biology is to describe and understand the operation of complex biological systems. Current models can still only describe relatively simple systems, however the techniques associated with systems biology give useful insights to the drug discovery process. |
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
| Not being delivered |
Summary of Intended Learning Outcomes
At the end of this course students should able to:
&· Understand the input of the various $ùomics&© technologies to determine which proteins, genes and phosphorylation states of proteins are expressed or up regulated in a disease state.
&· Be aware of the extent to which mathematical/computational models of pathways can be used to predict their behavior under differing conditions.
&· Understand the limitations of pathway modelling with regards to systemic disease state modelling.
&· Appreciate the value of literature mining in the generation of initial exploratory models, and the use of text mining technologies to infer new pathway/disease relationships
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Assessment Information
50 % group assessment (including maximum 20% variation for Peer Assessment of contribution)
50 % electronic portfolio comprising 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 | SystApp |
Contacts
| Course organiser | Dr Paul Taylor
Tel: (0131 6)50 7058
Email: p.taylor@ed.ac.uk |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
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