Modelling Proteasome Dynamics in a Bayesian Framework

ISBN-13: 9783658201661 / Angielski / Miękka / 2017 / 96 str.

Sabine Stubler

Opis

Sabine Stubler compares different proteasome isoforms and subtypes in terms of their transport and active site-related parameters applying an existing computational model.

Spis treści

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 .

 

O autorze

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.

Blurb

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.