logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Modelling Proteasome Dynamics In A Bayesian Framework 1st Edition Sabine Stbler Auth

  • SKU: BELL-6843470
Modelling Proteasome Dynamics In A Bayesian Framework 1st Edition Sabine Stbler Auth
$ 31.00 $ 45.00 (-31%)

4.4

42 reviews

Modelling Proteasome Dynamics In A Bayesian Framework 1st Edition Sabine Stbler Auth instant download after payment.

Publisher: Springer Spektrum
File Extension: PDF
File size: 3.17 MB
Pages: 108
Author: Sabine Stübler (auth.)
ISBN: 9783658201661, 9783658201678, 3658201665, 3658201673
Language: English
Year: 2017
Edition: 1

Product desciption

Modelling Proteasome Dynamics In A Bayesian Framework 1st Edition Sabine Stbler Auth by Sabine Stübler (auth.) 9783658201661, 9783658201678, 3658201665, 3658201673 instant download after payment.

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.

Related Products