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50310-01 - Vorlesung mit Übungen: Analytical Applications in Drug Discovery (1 KP)
| Semester | Frühjahrsemester 2026 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende | Stephan Müller (stephan.mueller@unibas.ch, BeurteilerIn) |
| Inhalt | Examples for typical topics (subject to change): 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, ion mobility; application in chemical, biochemical and -omics analysis noncovalent interaction analysis; application in binding assays Application Biomarker Analysis; LC/MS-MS |
| Lernziele | Insights to 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 | on unibas.smv3.ch download page (all material) or ADAM (only slides) |
| Bemerkungen | Do not book this if you are looking for a cheap credit point. Book it if you liked Analytik VI and are not afraid of some number crunching. Mü is looking forward to seeing you (again). |
| Weblink | Participants webpage, please register |
| Teilnahmevoraussetzungen | Completed Bachelor degree, STRONGLY RECOMMENDED Analytik VI in Basel (46378-01). Good Excel skills (use of formulae for simple statistical functions) 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 (LibreOffice, OpenOffice) Standard web browser (Safari, Firefox, Chrome, DuckDuckGo) Scientific calculator |
| Anmeldung zur Lehrveranstaltung | 1. University booking (Belegen) as usual over MoNa 2. Register at independent teacher's site unibas.smv3.ch to access the software and material download |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | Online-Angebot obligatorisch |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Dienstag | 15.15-17.00 | Pharmazentrum, Hörsaal 2 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Dienstag 17.02.2026 | 15.15-17.00 Uhr | Pharmazentrum, Hörsaal 2 |
| Dienstag 24.02.2026 | 15.15-17.00 Uhr | Fasnachtswoche |
| Dienstag 03.03.2026 | 15.15-17.00 Uhr | Pharmazentrum, Hörsaal 2 |
| Dienstag 10.03.2026 | 15.15-17.00 Uhr | Pharmazentrum, Hörsaal 2 |
| Dienstag 17.03.2026 | 15.15-17.00 Uhr | Pharmazentrum, Hörsaal 2 |
| Dienstag 24.03.2026 | 15.15-17.00 Uhr | Pharmazentrum, Hörsaal 2 |
| Dienstag 31.03.2026 | 15.15-17.00 Uhr | Pharmazentrum, Hörsaal 2 |
| Dienstag 07.04.2026 | 15.15-17.00 Uhr | Pharmazentrum, Hörsaal 2 |
| Module |
Wahlbereich Master Drug Sciences: Empfehlungen (Masterstudium: Drug Sciences) Wahlbereich Master Pharmazie: Empfehlungen (Masterstudium: Pharmazie) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | The QA will take place in form of exercises or online or paper quizzes during the lessons. 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 Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Departement Pharmazeutische Wissenschaften |