Applied Pharmaceutical Structural Bioinformatics

5 credits

Course, Master's level, 3FF209

Expand the information below to show details on how to apply and entry requirements.

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
19 January 2026–5 March 2026
Language of instruction
English
Entry requirements

150 credits in chemistry, biology, biochemistry, pharmacy, medicine or dentistry; or other equivalent education under special review.

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.
  • First tuition fee instalment: SEK 12,083
  • Total tuition fee: SEK 12,083

Read more about fees.

Application deadline
15 October 2025
Application code
UU-87316

Admitted or on the waiting list?

Registration period
19 December 2025–19 February 2026
Information on registration from the department

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
19 January 2026–5 March 2026
Language of instruction
English
Entry requirements

150 credits in chemistry, biology, biochemistry, pharmacy, medicine or dentistry; or other equivalent education under special review.

Admitted or on the waiting list?

Registration period
19 December 2025–19 February 2026
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

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
31 August 2026–16 October 2026
Language of instruction
English
Entry requirements

150 credits in chemistry, biology, biochemistry, pharmacy, medicine or dentistry; or other equivalent education under special review.

Selection

Higher education credits (maximum 285 credits)

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.
  • First tuition fee instalment: SEK 13,750
  • Total tuition fee: SEK 13,750

Read more about fees.

Application deadline
15 April 2026
Application code
UU-37316

Admitted or on the waiting list?

Information on registration from the department

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
31 August 2026–16 October 2026
Language of instruction
English
Entry requirements

150 credits in chemistry, biology, biochemistry, pharmacy, medicine or dentistry; or other equivalent education under special review.

Admitted or on the waiting list?

Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

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
18 January 2027–5 March 2027
Language of instruction
English
Entry requirements

150 credits in chemistry, biology, biochemistry, pharmacy, medicine or dentistry; or other equivalent education under special review.

Selection

Higher education credits (maximum 285 credits)

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.
  • First tuition fee instalment: SEK 13,750
  • Total tuition fee: SEK 13,750

Read more about fees.

Application deadline
15 October 2026
Application code
UU-87316

Admitted or on the waiting list?

Information on registration from the department

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
18 January 2027–5 March 2027
Language of instruction
English
Entry requirements

150 credits in chemistry, biology, biochemistry, pharmacy, medicine or dentistry; or other equivalent education under special review.

Admitted or on the waiting list?

Information on registration from the department

About the course

The course teaches you how to solve practical problems in pharmacology, life sciences and bioinformatics using free software and databases relating to the structure of functional proteins and drug targets.

The course covers bioinformatics for nucleotide and amino acid sequences and structural bioinformatics. This includes methods, databases and software for analysis and management of amino acid and nucleotide sequences, secondary and tertiary structures of proteins, methods and tools for homology modelling of protein 3D structure, and molecular dynamics simulations and molecular docking. The focus of the course is on practical exercises where you solve problems using your computer.

The course includes:

  • Introduction to Structural Bioinformatics in the pharmaceutical field.
  • Alignment sequences and database searching. Practical exercises in pairwise and multiple sequence alignments, and exercises with sequence databases with applications in the pharmaceutical field.
  • Techniques for prediction of secondary protein structure with computational tools and review of the Pfam and PROSITE databases.
  • Techniques and methods for prediction of protein 3D structure: Background molecular modelling and energy minimisation. Tools for homology modelling of protein 3D structure and methods for validation of 3D structures.
  • Practical exercises with the MODELLER software and structure validation with PROCHECK.
  • The physical basis for molecular dynamic simulation. Exercises on molecular dynamic simulations of proteins with GROMACS.
  • Molecular docking and drug screening. Tools and applications relating to computer-aided drug design.
  • Practical exercises with AutoDock and AutoDock Vina tools.

Outline for distance course: The course is given as audio-visual web lectures, through downloadable documents for self-studies and teacher-supervised exercises online through a web-based teaching platform, and through exercises that you solve on your own computer using software that can be downloaded from the net. The course has no fixed times and you can carry out your duties at any time of each study week. Communication between teacher and student is via an educational platform and via email. Written examination is performed online at the end of the course.

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