Postgraduate Course: Systems Approach to Modelling Cell Signal Transduction (PGBI11081)
|School||School of Biological Sciences
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
||Availability||Not available to visiting students
|Summary||**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)
||Other requirements|| None
Course Delivery Information
|Academic year 2015/16, Not available to visiting students (SS1)
|Course Start Date
|Learning and Teaching activities (Further Info)
Online Activities 20,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||50 % group assessment (including maximum 20% variation for Peer Assessment of contribution)
50 % electronic portfolio comprising learning log and contribution to Skills Profile
|No Exam Information
| At the end of this course students should able to:
¿ Understand the input of the various ¿omics¿ 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
|Graduate Attributes and Skills
|Course organiser||Dr Ramon Grima
|Course secretary||Miss Vicky Mactaggart
Tel: (0131 6)51 7052
© Copyright 2015 The University of Edinburgh - 18 January 2016 4:32 am