Universität Wien

300095 VU Metabolic network reconstruction and analysis (2026S)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung
Moodle
Mi 10.06. 13:15-16:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 20 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Donnerstag 05.03. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 19.03. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 26.03. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 16.04. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 23.04. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Mittwoch 29.04. 13:15 - 16:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Donnerstag 30.04. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 07.05. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Mittwoch 13.05. 13:15 - 16:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Donnerstag 21.05. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Mittwoch 27.05. 13:15 - 16:30 Seminarraum 1.1 PC, Biologie Djerassiplatz 1, 1.003, Ebene 1
  • Donnerstag 28.05. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 11.06. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 18.06. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 25.06. 15:00 - 16:30 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course introduces students to the construction and analysis of metabolic network models for predicting metabolic fluxes from gene sequence data. Such models can be used to predict substrate uptake and secretion rates as well as biomass growth rates for many organisms using simple gene-reaction mappings.

Learning objectives

The students will know which information is contained in metabolic network models and what they can be used for.
They will be able to perform a basic computational analysis of such models, and will be able to use them for the prediction of metabolic fluxes with constraint- and optimization-based methods.
They can construct metabolic network models from genetic sequence data and suitable enzyme/reaction databases with suitable software tools.

Contents

Structure and properties of metabolic network models
Working with metabolic network models: flux balance analysis, flux variability analysis
Genome-scale models
Reconstruction of models from genetic data

Art der Leistungskontrolle und erlaubte Hilfsmittel

- Written exam (50%)
- Solutions of computer exercises (50%)

Mindestanforderungen und Beurteilungsmaßstab

All partial evaluations must be positive to pass the course. Minimum score to pass is 50% in total.

Prüfungsstoff

In the exam, students need to show that they are able to constructively apply and discuss the methods taught in the course.

Literatur

Bernhard O. Palsson: Systems Biology. Constraint-based Reconstruction and Analysis. Cambridge University Press, 2015
Costas D. Maranas, Ali R. Zomorrodi: Optimization Methods in Metabolic Networks. John Wiley & Sons, 2016
The Economic Cell Collective: Economic Principles in Cell Biology. No commercial publisher | Authors open access book, 2024. doi: 10.5281/zenodo.8156386.

Zuordnung im Vorlesungsverzeichnis

MES5, MEC-9, MBO 7, MMIC 4, MMIC 5

Letzte Änderung: Di 24.03.2026 11:07