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 structures; Macromolecular structural research methods and structure data; Analysis of structures and evaluation of models; Classification and comparison of structures; Structural alignment; Molecular visualization; Molecular modeling and simulations.
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 and Moodle postings.
Assignments with deadlines, to be submitted in Moodle.
Your Moodle activity counts towards 20% of the total score. For "points" of Moodle activity, you can either start relevant discussions in the Moodle forums (for example, by sharing reports of analyses or mini projects you have completed), contribute meaningful comments/answers in a discussion, provide suggestions for new topics or resources for the course pages, or report new links to replace outdated ones.
Material presented inside the course web pages
Your learning diary is counted towards 80% of the total score. The diary will contain a mix of summaries, essays, discussion, and exercises/mini projects. For the highest grades, your diary should contain an element of reflectiveness (description of your learning process, what you consider to be the important things learned in each study session, questions you put to yourself); tackling many practical problems; and finding additional sources to support your learning.
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.
Enrolment: http://bioinf.uta.fi/courses/