Main field(s) of study and in-depth level:
Pharmaceutical Sciences A1N,
Drug Discovery and Development A1N
Fail (U), Pass (G), Pass with distinction (VG)
The Educational Board of Pharmacy
Admitted to Master Programme in Pharmaceutical Modelling or Master Programme Drug Discovery and Development and completed previous courses. Within the Master of Science in Pharmacy Programme, it is required that the student has at least 150 credits and completed semester 1-7. Within the civil engineering programs chemical engineering, molecular biotechnology, and bioinformatics required are at least 120 credits, of which 30 within bioscience. For non-programme students a Bachelor of Pharmaceutical Science/ Science in Pharmacy, or equal degree is required (180 credits). Knowledge in English equivalent to that required for basic eligibility to Swedish higher education.
The course is a part of the Master Programme in Pharmaceutical modelling or the Master Programme in Drug Discovery and Development.
After having completed the course, the students should be able to:
describe bioinformatics tools and methods and how they can be used within pharmaceutical research
use bio- and cheminformatics programs for e.g. sequence analysis, expression analysis, functional predictions, 3D-visualisation, and structure-activity relationship based methods
locate relevant information in biological and chemical databases
train, validate and use predictive models based on biochemical data
describe and carry out basic sequence analysis tasks
calculate numerical representations of chemical structures, and correlate these to target protein interactionsinterpret and validate results of above-mentioned methods.
The course contains theory and methods for bioinformatics analysis and the basics of how bioinformatics can be used within the pharmacutical area. The course presents introduction and historical account of pharmaceutical bioinformatics, representation of biological and chemical data in computers, biological and chemical databases, theory and methods for analysis of experimental data, sequence analysis, expression analysis, predictive modelling, mode! validation, design of experiments, structure-activity relationships, and applications in pharmaceutical bioinformatics. For computationally demanding analysis high performance computing resources will be used.
Teaching is in the form of lecture and computer exercises. Compulsory parts: computer exercises and assignments. The course may be given in English.
Passed course demands a passed written individual examination and passed compulsory parts. Completion of compulsory parts of the course may be done earliest at next course instance, if space permits.If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.
The course can not be combined with Pharmaceutical bioinformatics 3FF575 or 8FF575, due to overlap in course contents. This course substitutes and corresponds to 3FF576.