autumn 2016
KJE-8704 BIOSTRUCT - Structure guided drug discovery and design - 5 ECTS
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
Course content
This course reviews how modern drug discovery increasingly includes a diverse range of tasks that benefit from the knowledge of the atomic structures of drug binding sites and their interactions with drugs. International and internal speakers will review: retrospective studies on the structural mechanisms of classical drugs, structures of drug target classes, evaluation of druggability, de-novo and substrate based hit generation, structure guided screen design, scaffold swapping, in vitro and in silico binding site characterization (fragment/solvent screens, cheminformatic fragmentization), lead optimization, structure guided synthesis strategies (hit explosion, diversity oriented synthesis), and late stage processes, including prediction of and reaction to drug resistance. Presentation of these topics aims to remain fundamentally grounded in the basic chemistry of protein-ligand interactions, chemical reactivity in biological environments, chemical synthetic methods, enzyme kinetics, thermodynamics and cheminformatics. Lectures will be accompanied by computer and literature exercises, and students will propose and follow up with a project, optionally integrated with their thesis research. The candidate will acquire experience with a diverse range computer-based tasks relevant to target structure based drug design. The topics include target structure evaluation, hit characterization, data mining and multidimensional analysis, and the selection of synthetic approaches to generate chemical libraries. This learning will be expanded in depth by application to the specific research interests of the student in a research proposal and report to be completed following the course.Objectives 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
Assessment
A research proposal will be written based on course skill and research interests; a report will be written describing the results of that research. Pass/fail grades will be assigned according to the assessment of the quality of the research proposal (10%), research report (50%), and final oral examination after submission of the report (40%).Error rendering component
- About the course
- Campus: Tromsø |
- ECTS: 5
- Course code: KJE-8704
- Responsible unit
- Institutt for kjemi