Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Arkistoitu opetussuunnitelma 2016–2018
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIOI4240 Structural Bioinformatics 5 op
Organised by
Preceding studies
Elementary knowledge of protein bioinformatics and understanding of sequence alignments are required. Either of BIOI2080 or BIOI4464.

General description

This course gives insights in protein 3D structures and teaches visualization methods of proteins.

Learning outcomes

After completing Structural Bioinformatics, the student can: use molecular graphics software to prepare publication-quality images of protein structures; perform homology-based protein modeling using automated servers; describe limits of usability of protein models, both in the case of experiment-based and theoretical models; and describe the principles of molecular dynamics simulations


Revision of protein structure; Macromolecular structural research methods and structure data; Molecular visalization with UCSF Chimera; Analysis of structures; Structural alignment; Homology-based modelling; Protein dynamics.

Teaching language


Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
  • In English
Written exam
  • In English


Numeric 0-5.

Recommended year of study

1. year spring

Study materials

As presented in the course Moodle site, including additional material of program manuals and original articles.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Biokemian laitos
Biokemian laitos
Biokemian laitos
Tulevaisuuden teknologioiden laitos
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Tulevaisuuden teknologioiden laitos
MDP in Bioinformatics
MDP in Embedded Computing
MDP in Digital Health and Life Sciences (Tech.)