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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Archived Curricula Guide 2013–2014
Curricula Guide is archieved. Please refer to current Curricula Guides
BIOI4240 Structural Bioinformatics 4 ECTS
Organised by
Bioinformatics
Person in charge
Martti Tolvanen
Planned organizing times
Period(s) I II III IV
2013–2014 X
Preceding studies
Compulsory:
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.

Contents

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
Lectures

Teaching language

English

Modes of study

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

Department of Future Technologies
Department of Future Technologies
Department of Future Technologies
2013–2014
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
Department of Future Technologies
DP in Computer Science
DP in Electr. and Communication Technology
Finnish Study Modules