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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2013/2014
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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Systems Approach to Modelling Cell Signal Transduction (PGBI11081)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Course typeStandard AvailabilityNot available to visiting students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaPostgraduate Other subject areaNone
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 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 $łomics&© 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
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
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
KeywordsSystApp
Contacts
Course organiserDr Paul Taylor
Tel: (0131 6)50 7058
Email: p.taylor@ed.ac.uk
Course secretaryMiss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk
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