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Cheminformatics and Modelling for Drug Design (MEDC0077)

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.

Description

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 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

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
2
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 8th April 2024.

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