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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2016/2017

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DRPS : Course Catalogue : School of Biological Sciences : Postgraduate

Postgraduate Course: Molecular Modelling and Database Mining (PGBI11023)

Course Outline
SchoolSchool of Biological Sciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course will expose the student to the computational methods involved in structure-based drug design. The student will work on a small project and carry out the different steps with a high degree of independence. Supervision will be provided on an introductory basis as well as ad hoc.
Course description Principles of Molecular recognition
The protein-ligand universe, classification of protein structures, molecular descriptors, Lipinski┐s rules
Structural and Molecular Databases
Analysis of available structural data stored in the publicly available databases including PDB (protein database), CCDB (crystallographic database), ACD (available chemicals database)
Molecular Mechanics and Force Fields
Descriptions of theoretical molecular structures and energy terms describing bonded and non-bonded (inter)molecular interactions
Principles of template-based ligand design
Use of molecular graphics software to build novel ┐drug leads┐
Database Mining in 2D and 3D; Virtual Screening
Use of databases and software used to extract small molecules with required physical and chemical properties.
Use of 3D docking packages in lead discovery
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-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2016/17, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
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 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) An exercise to assess the availability and quality of sequence and structural data available in a parasite/human metabolic pathway will be done to prepare for the essay (worth 20% of the course assessment)

Short project report/essay (3000 words) to be handed in at the end of Semester One. This is worth 80% of the course assessment.
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Describe the computational approaches in current use for protein modelling and structure-based drug design.
  2. Analyse and critically assess a macromolecular/ ligand interaction
  3. Analyse a protein databank structure and assess its quality and utility in molecular modelling.
  4. Apply molecular graphics tools to analyse molecular interactions
  5. Describe the use of molecular force field methods in the analysis of and creation of molecular models and understand the use and limitations of homology models.
Reading List
There is no formal course book, but students may find Hoeltje,Sippl, Rogna and Folkers, Molecular Modelling, Basic Principles and Applications┐
ISBN 978-0-471-47878-2 useful.
Additional Information
Graduate Attributes and Skills Not entered
KeywordsMMDB
Contacts
Course organiserDr Paul Taylor
Tel: (0131 6)50 7058
Email: p.taylor@ed.ac.uk
Course secretaryMs Andrea Nichol
Tel: (0131 6)50 8643
Email: Andrea.Nichol@ed.ac.uk
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