Modelling Proteasome Dynamics in a Bayesian Framework

• Κύριος συγγραφέας: Stübler, Sabine (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum, 2017.
• Σειρά: BestMasters
• Θέματα: Medicine.; Immunology.; Bioinformatics.; Cell biology.; Biomedicine.; Cell Biology.

 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 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. 

 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 .  .