C7350 Protein characterisation using mass spectrometry - practice

Faculty of Science
Autumn 2019
Extent and Intensity
0/1/0. 1 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Zbyněk Zdráhal, Dr. (seminar tutor)
Guaranteed by
prof. RNDr. Jiří Fajkus, CSc.
National Centre for Biomolecular Research – Faculty of Science
Contact Person: prof. RNDr. Zbyněk Zdráhal, Dr.
Supplier department: National Centre for Biomolecular Research – Faculty of Science
Timetable
Fri 8:00–8:50 C02/121
Prerequisites (in Czech)
NOW( C7250 Mass spectrometry of proteins )
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aims of this practical course are to explain principles of methods for protein identification using MS and MS/MS data, to train students in utilization of appropriate database search engines for protein identifications and to explain basics of MS/MS spektra interpretation.
Learning outcomes
At the end of the course students should be able to: understand basics of protein identification based on MS a MS/MS data;
select and use correct search software for identification of proteins;
understand basics of interpretation of MS/MS spektra.
Syllabus
  • Interpretation of MS data;
  • Interpretation of MALDI-MS/MS and ESI-MS/MS data;
  • Protein identification based on MS and MS/MS data;
  • Introduction into de novo sequencing;
  • Characterisation of protein modifications - determination of type and site;
Literature
    recommended literature
  • SNYDER, Peter A. Interpreting protein mass spectra :a comprehensive resource. Oxford: Oxford University Press, 2000, xi, 522 s. ISBN 0-8412-3571-6. info
Teaching methods
practical work with data using PC
Assessment methods
individual processing of test data
Language of instruction
Czech
Further Comments
The course is taught annually.
The course is also listed under the following terms Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, autumn 2017, Autumn 2018, Autumn 2020, autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2019, recent)
  • Permalink: https://is.muni.cz/course/sci/autumn2019/C7350