Postgraduate Course: Molecular Modelling and Database Mining (PGBI11023)
Course Outline
| School | School of Biological Sciences |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all 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 | This module will expose the student to the computational methods involved in structure-based drug design. The student will work on a small project carry out the different steps with a high degree of independence. Supervision will be provided on an introductory basis as well as ad hoc. |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | A good working knowledge of chemical principles corresponding to at least one year of a University course is expected. Degrees in biochemistry, molecular biology, biophysics, and pharmacology will probably satisfy this requirement. Students with other backgrounds, for example in physics, computer science or informatics, should contact the Course Organiser. |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
|
| Delivery period: 2013/14 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
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Web Timetable |
Web Timetable |
| Course Start Date |
16/09/2013 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 10,
Seminar/Tutorial Hours 10,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
78 )
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| Additional Notes |
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| Breakdown of Assessment Methods (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| No Exam Information |
Summary of Intended Learning Outcomes
Overall: a working knowledge of the software and approaches in current use for protein modelling and structure-based drug design.
Specifically:
1. BLAST, AA alignment, PDB, PFAM,
Given a protein aa sequence, search for homologous proteins. Identify available crystal structures. Secondary structure prediction.
2. Homology modelling
Generate a homology model using suitable software (Modeller, etc).
3. Database mining with LIDAEUS
Search for suitable compounds to bind in the active site by means of virtual screening.
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Assessment Information
| Computer-based examination at the end of the course (December week 12 or 13) |
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 | MMDB |
Contacts
| Course organiser | Dr Paul Taylor
Tel: (0131 6)50 7058
Email: p.taylor@ed.ac.uk |
Course secretary | Miss Vicky Mactaggart
Tel: (0131 6)51 7052
Email: Vicky.Mactaggart@ed.ac.uk |
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© Copyright 2013 The University of Edinburgh - 13 January 2014 4:47 am
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