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Integrated Life Sciences: Biologie, Biomathematik, Biophysik (Master of Science) >>

ILS-MA-I4: Spatial Modeling of Metabolic Processes (ILS-MA-I4)10 ECTS
(englische Bezeichnung: ILS-MA-I4: Räumliche Modelle von Stoffwechselprozessen)
(Prüfungsordnungsmodul: Räumliche Modelle der Stoffwechselregulation)

Modulverantwortliche/r: Uwe Sonnewald, Maria Neuss-Radu
Lehrende: Uwe Sonnewald, Maria Neuss-Radu, Wolfgang Zierer


Startsemester: WS 2022/2023Dauer: 1 SemesterTurnus: jährlich (WS)
Präsenzzeit: 120 Std.Eigenstudium: 180 Std.Sprache: Englisch

Lehrveranstaltungen:


Empfohlene Voraussetzungen:

Suggested: Module Partial differential equations for life sciences

Inhalt:

Lecture
a) The biological part deals with the following topics:

  • Metabolic Networks

  • Allosteric Regulation of Metabolism – The dual role of metabolites as signalling molecules and intermediates

  • Metabolite Channeling

  • Reversible Formation of Protein Complexes

  • Concepts of Synthetic Biology

  • Membrane Transport and Membrane Association of Proteins

b) Within the mathematical part, the mathematical modeling of the processes studied in the biological part is performed and the models are simulated by using standard simulation software like e.g. Matlab. The mathematical and simulation approaches include:

  • modelling approaches accounting for the spatial structure of cells: compartments, organelles, membrane systems and the spatial distribution of enzymes and metabolites

  • a hierarchy of mathematical models are considered, including compartment models (systems of coupled ordinary differential equations) and continuous models in space and time (systems of partial differential equations) like reaction -diffusion-transport systems subjected to appropriate boundary and transmission conditions

  • implementation of temporal and spatial discretizations for transmission problems in Matlab or other simulation software.

Laboratory course
Metabolite quantitation by HPLC-tandem mass spectrometry. Protein biochemistry to assess the architecture of protein complexes: differential centrifugation, SDS-PAGE, western blot, etc.
Tutorial
Within the tutorial, the mathematical notions are discussed and deepened by means of blackboard and computer homework

Lernziele und Kompetenzen:

Students

  • gain insight into feedback regulation of plant metabolism by metabolic intermediates

  • learn to conduct advanced analytical methods

  • are in touch with state-of-the art research topics

  • will be trained to apply the acquired knowledge on the analysis of protein complexes

  • acquire a in-depth knowledge and understanding in the area of mathematical modelling of intracellular processes

  • compare different modelling and simulation approaches and interpret the results in the framework of the biological application

  • investigate working methods from different disciplines (biology and mathematics) and develop new interdisciplinary approaches.

Literatur:

A course in Mathematical Biology,de Vries, Hillen, Lewis, Müller, Schönfisch, 2006


Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

  1. 643#65#H
    (Po-Vers. 2012 | NatFak | Integrated Life Sciences: Biologie, Biomathematik, Biophysik (Master of Science) | Modulgruppen | MG1: Mathematische Modellierung und Systembiologie | Wahlpflichtmodule der Modulgruppe1 | Räumliche Modelle der Stoffwechselregulation)
  2. 643#65#H
    (Po-Vers. 2012 | NatFak | Integrated Life Sciences: Biologie, Biomathematik, Biophysik (Master of Science) | Modulgruppen | MG3: Biologische Strukturen und Prozesse | Wahlpflichtmodule der Modulgruppe3 | Räumliche Modelle der Stoffwechselregulation)
Dieses Modul ist daneben auch in den Studienfächern "Integrated Life Sciences: Biology, Biomathematics, Biophysics (Master of Science)" verwendbar. Details

Studien-/Prüfungsleistungen:

Klausur zu Räumliche Modelle der Stoffwechselregulation (Prüfungsnummer: 81401)

(englischer Titel: Examination (Klausur) on Spatial Models for Metabolic Regulation)

Prüfungsleistung, Klausur, Dauer (in Minuten): 60, benotet
Anteil an der Berechnung der Modulnote: 100.0 %

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023
1. Prüfer: Uwe Sonnewald

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