Reverse Engineering of Proteasomal Translocation Rates

TL;DR

This paper presents a new stochastic model for proteasomal protein translocation and cleavage, enabling the reconstruction of translocation and cleavage rates from experimental mass spectrometry data to better understand proteasomal activity.

Contribution

The paper introduces a novel probabilistic model that accounts for protein translocation and cleavage site positioning from first principles, allowing detailed analysis of proteasomal digestion.

Findings

Model accurately reconstructs translocation and cleavage rates from experimental data

Enables quantitative prediction of proteasomal activity

Provides insights into transport properties in different experimental setups

Abstract

We address the problem of proteasomal protein translocation and introduce a new stochastic model of the proteasomal digestion (cleavage) of proteins. In this model we account for the protein translocation and the positioning of cleavage sites of a proteasome from first principles. We show by test examples and by processing experimental data that our model allows reconstruction of the translocation and cleavage rates from mass spectroscopy data on digestion patterns and can be used to investigate the properties of transport in different experimental set-ups. Detailed investigation with this model will enable theoretical quantitative prediction of the proteasomal activity.