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100   $a20171130d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aModelling Proteasome Dynamics in a Bayesian Framework /$fby Sabine Stübler
205   $a1st ed. 2017.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Spektrum,$d2017.
215   $a1 online resource (XV, 96 p. 30 illus., 10 illus. in color.) 
225 1 $aBestMasters,$x2625-3577
311   $a3-658-20166-5 
320   $aIncludes bibliographical references.
327   $aStructure 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 .  .
330   $aSabine Stübler compares different proteasome isoforms and subtypes in terms of their transport and active site-related parameters applying an existing computational model. In a second step, the author extends this model to be able to describe the influence of proteasome inhibitors in in vitro experiments. The computational model, which describes the hydrolysis of short fluorogenic peptides by the 20S proteasome, is calibrated to experimental data from different proteasome isoforms using an approximate Bayesian computation approach. The dynamics of proteasome inhibitors are included into the model in order to demonstrate how to modulate the inhibitor?s transport parameters for strong or isoform-specific inhibition. Contents Structure and Function of the Proteasome Approaches to Model Proteasome Dynamics Comparison of the Dynamics of Proteasome Subtypes Inhibitor Influence on the Catalytic Subunits  Inhibitor Influence on a Compartmentalised Short Fluorogenic Peptide Model  Target Groups Lecturers and students of systems biology, immunology and cell biology Practitioners from the fields of systems biology, immunology and cell biology About the Author Sabine Stübler works as PhD student in the Computational Physiology Group at the Institute of Biochemistry and Biology, University of Potsdam. Her research focus currently is on developing a novel systems pharmacology model.
410  0$aBestMasters,$x2625-3577
606   $aImmunology
606   $aBioinformatics
606   $aCytology
606   $aImmunology$3https://scigraph.springernature.com/ontologies/product-market-codes/B14000
606   $aBioinformatics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15001
606   $aCell Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L16008
615  0$aImmunology.
615  0$aBioinformatics.
615  0$aCytology.
615 14$aImmunology.
615 24$aBioinformatics.
615 24$aCell Biology.
676   $a616.079
700   $aStübler$b Sabine$4aut$4http://id.loc.gov/vocabulary/relators/aut$0875483
906   $aBOOK
912   $a9910253933903321
996   $aModelling Proteasome Dynamics in a Bayesian Framework$91954749
997   $aUNINA