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Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-26855

Gazzola, M; Burckhardt, C J; Bayati, B; Engelke, M; Greber, U F; Koumoutsakos, P (2009). A stochastic model for microtubule motors describes the in vivo cytoplasmic transport of human adenovirus. PLoS Computational Biology, 5(12):e1000623.

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Abstract

Cytoplasmic transport of organelles, nucleic acids and proteins on microtubules is usually bidirectional with dynein and kinesin motors mediating the delivery of cargoes in the cytoplasm. Here we combine live cell microscopy, single virus tracking and trajectory segmentation to systematically identify the parameters of a stochastic computational model of cargo transport by molecular motors on microtubules. The model parameters are identified using an evolutionary optimization algorithm to minimize the Kullback-Leibler divergence between the in silico and the in vivo run length and velocity distributions of the viruses on microtubules. The present stochastic model suggests that bidirectional transport of human adenoviruses can be explained without explicit motor coordination. The model enables the prediction of the number of motors active on the viral cargo during microtubule-dependent motions as well as the number of motor binding sites, with the protein hexon as the binding site for the motors.

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Special Collections > SystemsX.ch
Special Collections > SystemsX.ch > Research, Technology and Development Projects > WingX
DDC:570 Life sciences; biology
Language:English
Date:24 December 2009
Deposited On:17 Jan 2010 09:46
Last Modified:27 Nov 2013 22:00
Publisher:Public Library of Science
ISSN:1553-734X
Publisher DOI:10.1371/journal.pcbi.1000623
PubMed ID:20041204
Citations:Web of Science®. Times Cited: 22
Google Scholar™
Scopus®. Citation Count: 22

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