Pharmaceutical Bioinformatics, 7.5 credits
Academic year 2022/2023
-
Autumn 2022, Mixed, 50%, Distance learning
Start date: 29 August 2022
End date: 30 October 2022
Application deadline: 19 April 2022
Application code: UU-37309 Application
Language of instruction: English
Location: Flexible
Selection: All qualified applicants will be admitted.
Outline for distance course: The course is internet-based and has no mandatory meetings. The teaching consists of supervised individual studies via a web-based learning environment that is also used for group exercises, discussions and assignments. Communication between students and teachers is done via the course website and via email. To participate a computer with internet access is required. A written examination through the website ends the course.
Number of mandatory meetings on campus: 0
Number of voluntary meetings on campus: 0
Registration: Please contact the department.
-
Spring 2023, Mixed, 50%, Distance learning
Start date: 16 January 2023
End date: 22 March 2023
Application deadline: 17 October 2022
Application code: UU-87309 Application
Language of instruction: English
Location: Flexible
Selection: All qualified applicants will be admitted.
Outline for distance course: The course is internet-based and has no mandatory meetings. The teaching consists of supervised individual studies via a web-based learning environment that is also used for group exercises, discussions and assignments. Communication between students and teachers is done via the course website and via email. To participate a computer with internet access is required. A written examination through the website ends the course.
Number of mandatory meetings on campus: 0
Number of voluntary meetings on campus: 0
Registration: Please contact the department.
Entry requirements:
Within the pharmacy programme, it is required that the student has at least 150 credits, of which 60 within bioscience, pharmaceutical science, pharmacy or pharmaceutical chemistry, or equivalent knowledge from pharmaceutical, medical, veterinary science, dental, or natural science education. For the civil engineering programmes chemical engineering, molecular biotechnology, and bioinformatics required are at least 120 credits, of which 30 within bioscience.
Admitted to the Master's Programme in Drug Discovery and Development.
For single subject course, it is required that the student has 150 credits. At least 60 credits within bioscience, pharmaceutical science, pharmacy or pharmaceutical chemistry, or equivalent knowledge from pharmaceutical, medical, veterinary science, dental, or natural science education.
Fees:
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester: SEK 18,125
Tuition fee, total: SEK 18,125
About the course
The course aims to provide basic knowledge of how bioinformatics tools can be used to solve problems within pharmacology, pharmacy, and pharmaceutical chemistry. The course focus is primarily on understanding and use of software rather than the underlying mathematical theories. The course contains an introduction and history of pharmaceutical bioinformatics, biological and chemical databases, theory and methods for analysis of experimental data, design of experiments, calculation of drug candidate properties, proteochemistry, docking, and virtual drug screening.
On completion of the course you should be able to:
- understand and describe how bioinformatics tools can be used within pharmaceutical research
- use bio- and chemoinformatics programs for e.g. sequence alignment, 3D visualisation, and structure-activity relationship-based methods such as proteochemometrics
- seek relevant information in biological and chemical databases
- calculate the properties (descriptors) of potential drugs, and correlate these to target protein interactions through bioinformatic modelling
- interpret and validate the results of the above-mentioned methods.
More information
Contact
Department of Pharmaceutical Biosciences
Biomedicinskt centrum BMC, Husargatan 3
Box 591, 751 24 UPPSALA