Modelling Proteasome Dynamics in a Bayesian Framework

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ISBN: 3658201665
ISBN 13: 9783658201661
Autor: Stübler, Sabine
Verlag: Springer Spektrum
Umfang: xv, 96 S., 20 s/w Illustr., 10 farbige Illustr., 96 p. 30 illus., 10 illus. in color.
Erscheinungsdatum: 13.12.2017
Auflage: 1/2017
Produktform: Kartoniert
Einband: Kartoniert

Sabine Stübler compares different proteasome isoforms and subtypes in terms of their transport and active site-related parameters applying an existing computational model. In a second step, the author extends this model to be able to describe the influence of proteasome inhibitors in in vitro experiments. The computational model, which describes the hydrolysis of short fluorogenic peptides by the 20S proteasome, is calibrated to experimental data from different proteasome isoforms using an approximate Bayesian computation approach. The dynamics of proteasome inhibitors are included into the model in order to demonstrate how to modulate the inhibitor’s transport parameters for strong or isoform-specific inhibition. Contents Structure and Function of the Proteasome Approaches to Model Proteasome Dynamics Comparison of the Dynamics of Proteasome Subtypes Inhibitor Influence on the Catalytic Subunits  Inhibitor Influence on a Compartmentalised Short Fluorogenic Peptide Model  Target Groups – Lecturers and students of systems biology, immunology and cell biology Practitioners from the fields of systems biology, immunology and cell biology About the AuthorSabine Stübler works as PhD student in the Computational Physiology Group at the Institute of Biochemistry and Biology, University of Potsdam. Her research focus currently is on developing a novel systems pharmacology model.

Artikelnummer: 3079442 Kategorie:

Beschreibung

Sabine Stübler compares different proteasome isoforms and subtypes in terms of their transport and active site-related parameters applying an existing computational model. In a second step, the author extends this model to be able to describe the influence of proteasome inhibitors in in vitro experiments. The computational model, which describes the hydrolysis of short fluorogenic peptides by the 20S proteasome, is calibrated to experimental data from different proteasome isoforms using an approximate Bayesian computation approach. The dynamics of proteasome inhibitors are included into the model in order to demonstrate how to modulate the inhibitors transport parameters for strong or isoform-specific inhibition.

Autorenporträt

Sabine Stübler works as PhD student in the Computational Physiology Group at the Institute of Biochemistry and Biology, University of Potsdam. Her research focus currently is on developing a novel systems pharmacology model.

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E-Mail: juergen.hartmann@springer.com

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