Overview
- A study in systems biology, immunology and cell biology
Part of the book series: BestMasters (BEST)
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Table of contents (4 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Modelling Proteasome Dynamics in a Bayesian Framework
Authors: Sabine Stübler
Series Title: BestMasters
DOI: https://doi.org/10.1007/978-3-658-20167-8
Publisher: Springer Spektrum Wiesbaden
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2017
Softcover ISBN: 978-3-658-20166-1Published: 13 December 2017
eBook ISBN: 978-3-658-20167-8Published: 30 November 2017
Series ISSN: 2625-3577
Series E-ISSN: 2625-3615
Edition Number: 1
Number of Pages: XV, 96
Number of Illustrations: 20 b/w illustrations, 10 illustrations in colour
Topics: Immunology, Bioinformatics, Cell Biology