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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: High Throughput Drug Discovery (PGBI11077)

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**

The focus of high throughput screening in drug discovery has been on automating assay techniques so that large libraries of molecules could be screened against disease relevant targets. Over time, this has developed to include a wide array of assay and screening technologies to provide a broad range of parameters and physiologically relevant information. The ultimate aim in this area is to reduce the screening costs per compound allowing routine screening of large libraries in an assay method appropriate to the drug target.
Course description Not entered
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. Understand the basics of assay design for use in large scale multiwell robotic screening environments
  2. Be aware of the issues of reproducibility and false positive/negative signal generation in these types of assay platforms.
  3. Describe the principles of combinatorial chemistry as applied to the drug discovery process.
  4. Show an understanding of the various screening techniques and assay methods currently used in drug discovery
  5. Analyse high throughput screening data and calculate the Z¿ value to indicate assay quality.
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsHighTDD
Contacts
Course organiserProf Manfred Auer
Tel:
Email: manfred.auer@ed.ac.uk
Course secretaryMrs Claire Black
Tel: (0131 6)50 8637
Email: Claire.Black@ed.ac.uk
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