Pharmaceutical Bioinformatics
Course, Master's level, 3FF275
Autumn 2023 Autumn 2023, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 28 August 2023–29 October 2023
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.
- Selection
-
All qualified applicants will be admitted.
- 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 and tuition fees.
- Application fee: SEK 900
- First tuition fee instalment: SEK 18,125
- Total tuition fee: SEK 18,125
- Application deadline
- 17 April 2023
- Application code
- UU-37309
Admitted or on the waiting list?
- Registration period
- 28 July 2023–28 September 2023
- Information on registration.
Autumn 2023 Autumn 2023, Flexible, 50%, Distance learning, English For exchange students
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 28 August 2023–29 October 2023
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.
Admitted or on the waiting list?
- Registration period
- 28 July 2023–28 September 2023
- Information on registration.
Spring 2024 Spring 2024, Flexible, 50%, Distance learning, English
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 15 January 2024–19 March 2024
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.
- Selection
-
All qualified applicants will be admitted.
- 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 and tuition fees.
- Application fee: SEK 900
- First tuition fee instalment: SEK 18,125
- Total tuition fee: SEK 18,125
- Application deadline
- 16 October 2023
- Application code
- UU-87309
Admitted or on the waiting list?
Spring 2024 Spring 2024, Flexible, 50%, Distance learning, English For exchange students
- Location
- Flexible
- Pace of study
- 50%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 15 January 2024–19 March 2024
- Language of instruction
- English
- Entry requirements
-
150 credits, including 120 credits in biomedicine, pharmaceutical science, chemistry, pharmaceutical development, natural science and/or engineering.
Admitted or on the waiting list?
About the course
The course aims to provide basic knowledge of how bioinformatics tools can solve problems within pharmacology, pharmacy, and pharmaceutical chemistry. The course focuses primarily on understanding and using 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 analysing 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.
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.
Contact
- Maris Lapins
- maris.lapins@farmbio.uu.se
- +46 18 471 46 81