Key information
- Faculty
- Faculty of Medical Sciences
- Teaching department
- Division of Medicine
- Credit value
- 15
- Restrictions
-
N/A
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
This module will teach you the basic principles of the pharmacology of the main protein targets in drug discovery. In addition, you will learn how to measure biological data for these targets.
The unique tutorial and practical sections will equip you with good skills in special statistics for biology, and how to measure and interpret the biological data, such as Kd, IC50, etc.
There will be two journal clubs to discuss these topics with specialists.
The questions we are asking:
- What is the pharmacology of the main drug targets? How many are there? And what diseases are involved.
- What are the common biological data for drug discovery, especially how to measure them?
- What kind of statistics should be used for these biological data?
- How do we identify the drug targets?
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 1 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- Online
- Methods of assessment
-
50%
In-class activity
50%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
3
- Module leader
-
Dr Edith Chan
- Who to contact for more information
- edith.chan@ucl.ac.uk
Intended teaching term:
Term 1 ÌýÌýÌý
Undergraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
50%
In-class activity
50%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
0
- Module leader
-
Dr Edith Chan
- Who to contact for more information
- edith.chan@ucl.ac.uk
Intended teaching term:
Term 1 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
50%
In-class activity
50%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
27
- Module leader
-
Dr Edith Chan
- Who to contact for more information
- edith.chan@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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