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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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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
Credit level (Normal year taken)SCQF Level 11 (Postgraduate)
Course typeOnline Distance Learning AvailabilityNot available to visiting students
SCQF Credits10 ECTS Credits5
Summary**Online 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.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2019/20, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Course Start Date 17/02/2020
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Online Activities 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) 50% = report

50% = electronic portfolio comprising learning log and contribution to Skills Profile
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Understand the input of the various 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
  2. Be aware of the extent to which mathematical/computational models of pathways can be used to predict their behavior under differing conditions.
  3. Understand the limitations of pathway modelling with regards to systemic disease state modelling.
  4. 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
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsSystApp
Contacts
Course organiserDr Ramon Grima
Tel:
Email: Ramon.Grima@ed.ac.uk
Course secretaryMrs Claire Black
Tel: (0131 6)50 8637
Email: Claire.Black@ed.ac.uk
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