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50310-01 - Vorlesung mit Übungen: Analytical Applications in Drug Discovery 1 KP

Semester Frühjahrsemester 2019
Angebotsmuster Jedes Frühjahrsem.
Dozierende Stephan Müller (stephan.mueller@unibas.ch, BeurteilerIn)
Inhalt In contrast to the Bachelor lecture this one is much more interactive. We will work on practical examples using modern online informatics sources on some of the following topics:
Introduction and toolbox: What to find where. Suppliers, literature, information, software
Advanced HPLC methods: UPLC, column materials, column switching
Application quantitative Bioanalysis; HPLC-UV
Method validation example
Advanced mass spectrometry: accurate mass and elemental composition; application in qualitative analysis
Advanced MS/MS experiments, data dependent analysis, MSe
ion mobility; application in chemical, biochemical and -omics analysis
noncovalent interaction analysis; application in binding assays
Application Biomarker Analysis; LC/MS-MS*
Application compound purity assessment workflow; LC/MS and NMR*

*if permission is granted and time sufficient
Lernziele Insight and beginner's experience of analytical practise in research: You know material and information sources and providers, you can search, manage and extract literature on practical examples and derive a proposal for method development. You can use Excel for the evaluation of typical amounts of data and have to do some troubleshooting. You learn some more on advanced instrumental analytics, especially mass spectrometry.
Literatur Literature: Will mostly have to be looked up..
Tools: Download page of unibas.smv3.ch: https://unibas.smv3.ch/en/analytics-in-drug-discovery-msc/downloads-msc/
Bemerkungen THE course for you digital natives :-)

Film and sound recordings during the course are strictly forbidden (recorders may be confiscated)

 

Teilnahmebedingungen Beside the usual booking over MonA registration under unibas.smv3.ch is needed!

Laptop with power supply for 2h during the lessons
Recent MS Office software or equivalent
Standard web browser (Safari, Firefox, Chrome, MSE)
Structure Editor: Download and install ChemAxon's Marvin suite for structure design. MacOS and windows versions and the license file are available on the downloads page. We have a teaching license which is free for educational use
Scientific calculator
Anmeldung zur Lehrveranstaltung 1. University booking (Belegen) as usual over MoNa
2. Registration at https://unibas.smv3.ch/en/registration for material and exams
Unterrichtssprache Englisch
Weblink Participants webpage, please register
Einsatz digitaler Medien kein spezifischer Einsatz
HörerInnen willkommen

 

Intervall wöchentlich
Datum 19.02.2019 – 09.04.2019
Zeit Dienstag, 15.15-17.00 Biozentrum, Seminarraum 104
Datum Zeit Raum
Dienstag 19.02.2019 15.15-17.00 Uhr Biozentrum, Seminarraum 104
Dienstag 26.02.2019 15.15-17.00 Uhr Biozentrum, Seminarraum 104
Dienstag 05.03.2019 15.15-17.00 Uhr Biozentrum, Seminarraum 104
Dienstag 12.03.2019 15.15-17.00 Uhr Fasnachtsferien
Dienstag 19.03.2019 15.15-17.00 Uhr Biozentrum, Seminarraum 104
Dienstag 26.03.2019 15.15-17.00 Uhr Biozentrum, Seminarraum 104
Dienstag 02.04.2019 15.15-17.00 Uhr Biozentrum, Seminarraum 104
Dienstag 09.04.2019 15.15-17.00 Uhr Biozentrum, Seminarraum 104
Module Wahlbereich Master Drug Sciences: Empfehlungen (Master Drug Sciences)
Wahlbereich Master Pharmazie: Empfehlungen (Master Pharmazie)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung The examination will take place in form of exercises or online or paper quizzes during the lessons, and the tasks will require informatics tools and internet access. Therefore, registration at unibas.smv3.ch and a PC/Mac with web access and MS Office during the lessons is mandatory.
An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch
Anbietende Organisationseinheit Departement Pharmazeutische Wissenschaften

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