PHA.03538.03 | 10 CP |
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Module label | Validation of Process and Product |
Module code | PHA.03538.03 |
Semester of first implementation | |
Faculty/Institute | Institut für Pharmazie |
Module used in courses of study / semesters |
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Responsible person for this module | |
Further responsible persons |
Dr. M. Niepel |
Prerequisites | Module B: Drug target identification and validation |
Skills to be acquired in this module | Basics of chromatographic separation and identification of small molecules Basics of GC-MS and HPLC-MS Understanding the role of computing in knowledge discovery and apply bioinformatics tools in data processing, workflow automation, and structure determination. Ability to critically analyze and evaluate different approaches to generating models and simulations from biological databases. Knowledge of the basic concepts of chromatography and mass spectrometry Ability to set up a proteomics workflow in industry Ability to judge the quality of results, i.e. protein identifications |
Module contents | Course H.1: Detection of potential contaminations Sample preparation from biological matrices Plant product chromatography How to quantify, if there is no (standard) compound Distinction of similar compounds Labeling and spiking of samples Practical examples and problems Course H.2: Structure analysis Bioinformatics in large scale proteomics and lipidomics Genome and proteome databases, annotations, and search engines Preprocessing of mass spectra Principles and algorithms for peptide and protein sequence analysis Identification of PTMs: classic and blind mode Determination of elemental compositions by mass spectrometry Molecular profiling and imaging techniques, Ion Mobility Spectroscopy Vibrational spectroscopy: FT-IR, NIR, Raman, and Terahertz spectroscopies Multivariate analysis for qualitative (principal component analysis) and quantitative (partial least squares regression) analysis Course H.3: Protein analysis by mass spectrometry Methods for separating complex protein and peptide mixtures (gel electrophoresis, HPLC) In-gel and in-solution proteolysis of proteins Protein mass spectrometry (ionization methods ESI and MALDI; mass analyzers TOF, LIT, , Orbitrap, hybrid instruments) Peptide sequencing by mass spectrometry (MS/MS) Database searches (Mascot) Scoring algorithms for protein identification Automation of the proteomics workflow |
Forms of instruction |
Lecture (2 SWS)
Seminar (1 SWS) Lecture (2 SWS) Practical training (1 SWS) Practical training (2 SWS) Course |
Languages of instruction | German, English |
Duration (semesters) | 1 Semester Semester |
Module frequency | jedes Sommersemester |
Module capacity | unlimited |
Time of examination | |
Credit points | 10 CP |
Share on module final degree | Course 1: %; Course 2: %; Course 3: %; Course 4: %; Course 5: %; Course 6: %. |
Share of module grade on the course of study's final grade | 1 |
Module course label | Course type | Course title | SWS | Workload of compulsory attendance | Workload of preparation / homework etc | Workload of independent learning | Workload (examination and preparation) | Sum workload |
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Course 1 | Lecture | Detection of potential contaminations | 2 | 0 | ||||
Course 2 | Seminar | Detection of potential contaminations | 1 | 0 | ||||
Course 3 | Lecture | Structure analysis | 2 | 0 | ||||
Course 4 | Practical training | Structure analysis | 1 | 0 | ||||
Course 5 | Practical training | Protein analysis by mass spectrometry | 2 | 0 | ||||
Course 6 | Course | Private study | 0 | |||||
Workload by module | 300 | 300 | ||||||
Total module workload | 300 |
Examination | Exam prerequisites | Type of examination | |
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Course 1 | |||
Course 2 | |||
Course 3 | |||
Course 4 | |||
Course 5 | |||
Course 6 | |||
Final exam of module | attestation on lab course contents - Course H.2: Structure analysis, attestation on lab course contents - Course H.3: Protein analysis by mass spectrometry, Protocol on lab course |
Klausur |
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Exam repetition information |
Prerequisites and conditions | Prerequisites | Frequency | Compulsory attendance | Share on module grade in percent |
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Course 1 | Summer semester | No | % | |
Course 2 | Summer semester | No | % | |
Course 3 | Summer semester | No | % | |
Course 4 | Summer semester | No | % | |
Course 5 | Summer semester | No | % | |
Course 6 | Summer semester | No | % |