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Fragment-Based Drug Design (MEDC0080)

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 two important concepts in drug discovery. The first is Fragment-Based Drug Design and how it is applied in drug discovery projects. It has been regularly used during the past 15 years, and many new drugs have been discovered as a result.

The second is virtual screening or docking. This is a technique that uses computer power and advanced computational techniques to screen millions of potential drug molecules.

The unique tutorial and practical sections will equip you with good skills in using online databases and modern computational techniques:

  • Virtual screening / Docking and software
  • Basic Python programming using RDKit
  • Online chemical databases

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 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 2 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

Intended teaching term: Term 2 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
25
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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