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An in silico model of the ubiquitin-proteasome system that incorporates normal homeostasis and age-related decline

Overview of attention for article published in BMC Systems Biology, March 2007
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Title
An in silico model of the ubiquitin-proteasome system that incorporates normal homeostasis and age-related decline
Published in
BMC Systems Biology, March 2007
DOI 10.1186/1752-0509-1-17
Pubmed ID
Authors

Carole J Proctor, Maria Tsirigotis, Douglas A Gray

Abstract

The ubiquitin-proteasome system is responsible for homeostatic degradation of intact protein substrates as well as the elimination of damaged or misfolded proteins that might otherwise aggregate. During ageing there is a decline in proteasome activity and an increase in aggregated proteins. Many neurodegenerative diseases are characterised by the presence of distinctive ubiquitin-positive inclusion bodies in affected regions of the brain. These inclusions consist of insoluble, unfolded, ubiquitinated polypeptides that fail to be targeted and degraded by the proteasome. We are using a systems biology approach to try and determine the primary event in the decline in proteolytic capacity with age and whether there is in fact a vicious cycle of inhibition, with accumulating aggregates further inhibiting proteolysis, prompting accumulation of aggregates and so on. A stochastic model of the ubiquitin-proteasome system has been developed using the Systems Biology Mark-up Language (SBML). Simulations are carried out on the BASIS (Biology of Ageing e-Science Integration and Simulation) system and the model output is compared to experimental data wherein levels of ubiquitin and ubiquitinated substrates are monitored in cultured cells under various conditions. The model can be used to predict the effects of different experimental procedures such as inhibition of the proteasome or shutting down the enzyme cascade responsible for ubiquitin conjugation.

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Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Japan 1 2%
India 1 2%
United Kingdom 1 2%
Unknown 58 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 30%
Student > Ph. D. Student 15 24%
Student > Bachelor 7 11%
Student > Postgraduate 5 8%
Other 3 5%
Other 9 14%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 56%
Biochemistry, Genetics and Molecular Biology 8 13%
Mathematics 3 5%
Chemistry 3 5%
Computer Science 2 3%
Other 6 10%
Unknown 6 10%