Zurück
| Semester | Frühjahrsemester 2023 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende | Martin Smiesko (martin.smiesko@unibas.ch, BeurteilerIn) |
| Inhalt | With the pre-clinical toxicity being still the most prominent reason for drug attrition (doi:10.1038/nrd4609), this series of lectures and practical work focuses on our current possibilities to evaluate the toxic potential of a chemical compound (lead compound/drug candidate) using available in silico methods. Theoretical sessions elucidate standard concepts in modeling of various toxic phenomena (e.g. reactive toxicity, metabolites, physico-chemical aspects of toxicity) at the atomic level. Practical sessions are then focused on: • Computer simulation of molecular processes (ligand binding to off-targets, xenobiotic metabolism) • QSAR technologies for predicting toxicity endpoints • computational software: VirtualToxLab, PanScreen, Bioactivity Predictor, ToxTree, Lazar, QikProp etc. • Mechanistic interpretation of the predicted molecular triggering events and affected pathways • Endocrine (nuclear receptors) and metabolic (cytochromes P450) disruption; interference with the hERG ion channel Week 1 + Week 2: Lectures on general aspects of toxicity and its prediction Week 3 - Week 5: Computer Laboratory Section (practical work with the software for toxicity prediction) Week 6 - Week 7: Student's project work presentations |
| Lernziele | Understanding the basic as well as advanced concepts of molecular simulation associated with toxicity endpoints. Use of the available software to estimate the toxic potential of drugs and environmental chemicals. Mechanistic interpretation of the results at the molecular level. Knowing strenghts and weaknesses of the computer predictions, applicability domain. |
| Literatur | Computational Toxicology: Risk Assessment for Pharmaceutical and Environmental Chemicals (Sean Ekin, Editor), Wiley 2007 (ISBN: 978-0-470-04962-4) Computational toxicology, friend or foe? (Nigel Greene, William Pennie) Toxicol. Res., 2015, 4, 1159-1172 (DOI: 10.1039/C5TX00055F) |
| Bemerkungen | Film and sound recordings during the course are strictly forbidden (recorders may be confiscated) |
| Weblink | Department of Pharmaceutical Sciences |
| Teilnahmebedingungen | Completed Bachelor degree |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Freitag | 13.15-15.00 | Biozentrum, Computerraum Kiwi 02.067 |
| Datum | Zeit | Raum |
|---|---|---|
| Freitag 24.02.2023 | 13.15-15.00 Uhr | Biozentrum, Computerraum Kiwi 02.067 |
| Freitag 03.03.2023 | 13.15-15.00 Uhr | Fasnachstferien |
| Freitag 10.03.2023 | 13.15-15.00 Uhr | Biozentrum, Computerraum Kiwi 02.067 |
| Freitag 17.03.2023 | 13.15-15.00 Uhr | Biozentrum, Computerraum Kiwi 02.067 |
| Freitag 24.03.2023 | 13.15-15.00 Uhr | Biozentrum, Computerraum Kiwi 02.067 |
| Freitag 31.03.2023 | 13.15-15.00 Uhr | Biozentrum, Computerraum Kiwi 02.067 |
| Freitag 07.04.2023 | 13.15-15.00 Uhr | Ostern |
| Freitag 14.04.2023 | 13.15-15.00 Uhr | Biozentrum, Computerraum Kiwi 02.067 |
| Module |
Modul: General Skills and Experimental Tools (Masterstudium: Drug Sciences) Modul: Vertiefung Medizinische Nanowissenschaften (Masterstudium: Nanowissenschaften) Wahlbereich Master Pharmazie: Empfehlungen (Masterstudium: Pharmazie) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | Active participation in the course Short project presentation at Week 6 or 7 Electronic project report about evaluation of toxic potential of a selected group of compounds |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | 1-6 0,5 |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Departement Pharmazeutische Wissenschaften |