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.

x !
Arkistoitu opetussuunnitelma 2013–2014
Selaamasi opetussuunnitelma ei ole enää voimassa. Tarkista tiedot voimassa olevasta opetussuunnitelmasta.
BIOI4240 Structural Bioinformatics 4 op
Organised by
Person in charge
Martti Tolvanen
Planned organizing times
Period(s) I II III IV
2013–2014 X
Preceding studies
Fair knowledge of protein biochemistry.

Learning outcomes

After completing Stuctural Bioinformatics, the student has a solid background in structure-related bioinformatics. The theoretical background enables starting actual protein modeling. The student can describe limits of usability of protein models, both in the case of experiment-based and theoretical models, and can use molecular graphics software to prepare publication-quality images.


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 methods

Teaching method Contact Online

Teaching language


Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Participation in classroom work
  • In English
  • In English
Written exam
  • In English
Participation in classroom work and Exercise(s) and Written exam

Alternatively independent work (at least 80h) on the Internet course, guided by on-line tutoring. Work and learning must be documented in a learning diary and/or Moodle.

Evaluation and evaluation criteria

Numeric 0-5.
Your learning will be evaluated based on your learning diary work and Moodle activity. Evaluation criteria include demonstrating the understanding of key concepts in your diary text, completing exercises successfully, reflection of your learning, sharing of your ideas and findings in the forums.

Recommended year of study

1. year spring

Study materials

Course material on the Internet; selected scientific journal articles.

Belongs to following study modules

Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Tulevaisuuden teknologioiden laitos
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Tulevaisuuden teknologioiden laitos