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Høst 2016
KJE-8704 BIOSTRUCT - Structure guided drug discovery and design - 5 stp
The course is administrated by
Type of course
Course contents
Admission requirements
PhD students or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. Valid documentation is a statement from your institution that you are a registered PhD student, or a Master´s Diploma with Diploma Supplement / English translation of the diploma. PhD students are exempt from semester fee.
Students should have basic knowledge in organic chemistry and biochemistry.
PhD students at UiT The Arctic University of Norway register for the course through StudentWeb by 1 September.
External applicants apply for admission through SøknadsWeb by 1 June. Application code 9303.
All external applicants have to attach a confirmation of their status as a PhD student from their home institution. Students who hold a Master of Science degree, but are not yet enrolled as a PhD-student have to attach a copy of their master's degree diploma. These students are also required to pay the semester fee.
More information regarding PhD courses at the Faculty of Science and Technology is found here
Objective of the course
Knowledge
Properties of drugs and drug targets
- Has an overview of the major drug target types
- Has an overview of basic drug properties
- Has an overview of the basic physics and chemistry of drug-target interactions
- Has an overview of target-based drug resistance mechanisms
Biophysical methods and screening
- Has an overview of the major methods to evaluate drug-target interactions
- Has an overview of biochemical and cellular methods to screen for hits
- Has an overview of theoretical and experimental fragment methods
Workflows
- Has knowledge about how structure based drug discovery methods are implemented in industry
- Has an overview on drug approval processes
- Data mining and cheminformatics
- Has knowledge about methods and databases for chemical information searching
- Has insight into applications of multidimensional statistical analyses
Synthetic medicinal chemistry
- Has knowledge about "hit explosion" strategies for the generation of drug lead series
- Has knowledge about the use of "diversity-oriented synthesis" to generate suitable chemical libraries
Skills
- Can use molecular graphics to visualize drug target structures
- Can perform computer-based analyses of key drug target properties, such as druggability
- Can perform computer-based analyses of key drug properties, such as the Pfizer rules.
- Can perform computer-based analyses of the properties of a series of hit compounds, such as clustering and pharmacophore generation
- Can conduct searches in chemical databases
- Can create a strategy to initiate screening
- Can create in-silico a focussed library of potential hit/lead compounds based on a set of known synthetic methods
General competence
- Understands how drug and drug target structures are used across the drug design process
- Can advise on drug discovery strategies