PHA.03538.03 - Validation of Process and Product (Vollständige Modulbeschreibung)
PHA.03538.03 | 10 CP |
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Modulbezeichnung | Validation of Process and Product |
Modulcode | PHA.03538.03 |
Semester der erstmaligen Durchführung | |
Fachbereich/Institut | Institut für Pharmazie |
Verwendet in Studiengängen / Semestern |
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Modulverantwortliche/r | |
Weitere verantwortliche Personen |
Dr. M. Niepel |
Teilnahmevoraussetzungen | Module B: Drug target identification and validation |
Kompetenzziele | 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 |
Modulinhalte | 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 |
Lehrveranstaltungsformen |
Vorlesung (2 SWS)
Seminar (1 SWS) Vorlesung (2 SWS) Praktikum (1 SWS) Praktikum (2 SWS) Kursus |
Unterrichtsprachen | Deutsch, Englisch |
Dauer in Semestern | 1 Semester Semester |
Angebotsrhythmus Modul | jedes Sommersemester |
Aufnahmekapazität Modul | unbegrenzt |
Prüfungsebene | |
Credit-Points | 10 CP |
Modulabschlussnote | LV 1: %; LV 2: %; LV 3: %; LV 4: %; LV 5: %; LV 6: %. |
Faktor der Modulnote für die Endnote des Studiengangs | 1 |
Modulveranstaltung | Lehrveranstaltungsform | Veranstaltungstitel | SWS | Workload Präsenz | Workload Vor- / Nachbereitung | Workload selbstgestaltete Arbeit | Workload Prüfung incl. Vorbereitung | Workload Summe |
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LV 1 | Vorlesung | Detection of potential contaminations | 2 | 0 | ||||
LV 2 | Seminar | Detection of potential contaminations | 1 | 0 | ||||
LV 3 | Vorlesung | Structure analysis | 2 | 0 | ||||
LV 4 | Praktikum | Structure analysis | 1 | 0 | ||||
LV 5 | Praktikum | Protein analysis by mass spectrometry | 2 | 0 | ||||
LV 6 | Kursus | Private study | 0 | |||||
Workload modulbezogen | 300 | 300 | ||||||
Workload Modul insgesamt | 300 |
Prüfung | Prüfungsvorleistung | Prüfungsform | |
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LV 1 | |||
LV 2 | |||
LV 3 | |||
LV 4 | |||
LV 5 | |||
LV 6 | |||
Gesamtmodul | 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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Wiederholungsprüfung |
Regularien | Teilnahmevoraussetzungen | Angebotsrhythmus | Anwesenheitspflicht | Gewicht an Modulnote in % |
---|---|---|---|---|
LV 1 | Sommersemester | Nein | % | |
LV 2 | Sommersemester | Nein | % | |
LV 3 | Sommersemester | Nein | % | |
LV 4 | Sommersemester | Nein | % | |
LV 5 | Sommersemester | Nein | % | |
LV 6 | Sommersemester | Nein | % |