Syllabus for Pharmaceutical Bioinformatics with Sequence Analysis
Farmaceutisk bioinformatik med sekvensanalys
- 7.5 credits
- Course code: 3FF276
- Education cycle: Second cycle
Main field(s) of study and in-depth level:
Pharmaceutical Sciences A1N,
Drug Discovery and Development A1N
- Grading system: Fail (U), Pass (G), Pass with distinction (VG)
- Established: 2016-05-26
- Established by:
- Revised: 2022-08-25
- Revised by: The Educational Board of Pharmacy
- Applies from: Autumn 2023
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, drug discovery, natural science and/or engineering. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Responsible department: Department of Pharmaceutical Biosciences
Decisions and guidelines
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
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.
- Latest syllabus (applies from Autumn 2023)
- Previous syllabus (applies from Spring 2021)
- Previous syllabus (applies from Autumn 2020)
- Previous syllabus (applies from Autumn 2019)
- Previous syllabus (applies from Autumn 2018)
- Previous syllabus (applies from Autumn 2017, version 2)
- Previous syllabus (applies from Autumn 2017, version 1)
The reading list is missing. For further information, please contact the responsible department.