22145 - Immunological Bioinformatics

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Immunoinformatics venn diagram small.png

Course Programme


General course objectives

  • The course has an applied focus centred around the suite of prediction servers from the IML group
  • Theory and application of computational methods in context with the prediction of immune responses, moreover:
    • The involvement of TCR and BCR and MHC class I/II in inducing immune response
    • The structural and genetic characteristics of the TCR and BCR and MHC class I/II and corresponding epitopes
    • Computational methods for modelling TCR and BCR and MHC class I/II and respective epitope interactions
    • Application and challenges of the above in disease context, i.e. vaccinology of infectious diseases and cancer
  • Generel engineering competencies are included in the form of theory in context with concrete application and group based project work, where the students are responsible for planning, designing, implementing and communicating a project.

Essential Software and Resources

  • Students should bring own laptop with internet access to class
  • Also, students should install PyMol on their laptop. The PyMOL Education License file will be supplied during class. An introduction to PyMOL can be found here
  • The course focuses on computational methods for proteins and peptides in an immunological context, so it is recommended, that students have a grasp of the biochemical profile of each of the the 20 proteinogenic amino acids
  • A brief introduction to the Immunoinformatics and Machine Learning group can be found here here


Please read the detailed course description, for any questions not covered by this, please contact course responsible

Previous versions of the course