Pharmaceutical Bioinformatics, 7.5 credits

Academic year 2021/2022

  • Autumn 2021, Mixed, 50%, Distance learning

    Start date: 30 August 2021

    End date: 31 October 2021

    Application deadline: 15 April 2021

    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: 0

    Number of voluntary meetings: 0

    Registration: 30 July 2021 – 13 September 2021

  • Spring 2022, Mixed, 50%, Distance learning

    Start date: 17 January 2022

    End date: 23 March 2022

    Application deadline: 15 October 2021

    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: 0

    Number of voluntary meetings: 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 understandning and use of software rather than the underlying mathematical theories. The course contains 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 results of above-mentioned methods.

More information

Contact

Department of Pharmaceutical Biosciences

Biomedicinskt centrum BMC, Husargatan 3

Box 591, 751 24 UPPSALA

Maris Lapins

Email: maris.lapins@farmbio.uu.se

Telephone: +46 18 471 46 81