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 basic principles of Cheminformatics; concepts of drugs and the definition of 'leads, hits and drugs' and the definition of good drugs (hits and leads). Most importantly, you will learn what is required to make a good oral drug – that is the drug likeness or the metrics used to define it in the Pharmaceutical Industries. In addition, the basic concept of small molecular modelling and molecular properties calculation will be taught. The artificial intelligence (AI) approach used in Drug Discovery will also be taught.
The unique tutorial and practical sections will equip you with good skills in using different calculation methods, software, and online databases to calculate drug likeness.
The questions we ask:
- What is the definition of a good oral drug?
- What are the methods and parameters to define drug likeness?
- What are the commonly used cheminformatics software and databases?
- What are molecular modelling and artificial intelligence? And how can we use them in drug discovery?
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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