Learning outcomes

Getting a solid background in structure-related bioinformatics, including a theoretical background to start protein modeling. Understanding limits of protein models.

Contents

Revision of protein structures; Macromolecular structural research methods and structure data; Analysis of structures; Classification of structures; Structural alignment; Molecular visualization; Homology-based modeling.

Teaching methods

Teaching method	Contact	Online
Independent work	0 h	80 h

Independent work (at least 80 h) on the internet course, guided by on-line tutoring. Work and learning must be documented in the on-line learning diary.

Teaching language

English

Evaluation

Pass/fail.

Recommended year of study

1st year. Continuous registration during terms. The course is open for self-study even during holidays, but with limited or no tutoring from June to August.

Study materials

Course material on the internet; selected scientific journal articles. Suggested reading: Structural Bioinformatics, (2002) ISBN 0-471-20199-5, Philip E. Bourne, Helge Weissig (eds.), Wiley & Sons.

Further information

Enrolment: http://bioinf.uta.fi/courses/
Organization responsible: Tampere IMT

Belongs to following study modules