Postgraduate Course: In Silico Drug Discovery (PGBI11079)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Not available to visiting students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Postgraduate |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | **Online Distance Learning Course**
A major contributor of new leads to the drug discovery process is the large scale, normally database driven, calculation based on modelling ligand/macromolecular interactions or searches based on properties derived from pre-existing chemical entities. In this course these database mining techniques, along with allied chemical fragment based approaches will be explored. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Course Delivery Information
| Not being delivered |
Summary of Intended Learning Outcomes
At the end of this course students should be able to:
&· Describe the major aspects of a virtual screening application, including the methods for initial site point generation, and the various approaches to pose fitting.
&· Distinguish between force field/enthalpy based and knowledge based pose scoring methods.
&· Understand the properties that increase the value of compound databases.
&· Have a clear understanding of the values and problems associated with multiconformer vs single conformer chemical databases.
&· Describe the major classes of similarity searching algorithms, and understand the types of problem that such programs can be applied to.
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Assessment Information
50 % group assessment (including maximum 20% variation for Peer Assessment of contribution)
50 % electronic portfolio comprising learning log and contribution to Skills Profile
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Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | InSilico |
Contacts
| Course organiser | Dr Douglas Houston
Tel: (0131 6)50 7358
Email: DouglasR.Houston@ed.ac.uk |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
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