新規登録 | ログイン | FAQ      [?] 
CiteULike is a free online bibliography manager. Register and you can start organising your references online.
Recent | Unread | Search | Authors | Tags | Export

Statistics of cellular signal transduction as a race to the nucleus by multiple random walkers in compartment/phosphorylation space

by: Ting Lu, Tongye Shen, Chenghang Zong, Jeff Hasty, Peter G Wolynes
Proceedings of the National Academy of Sciences, Vol. 103, No. 45. (7 November 2006), pp. 16752-16757.


View FullText article


X Reviews [Write a review of this article]

There are no reviews of this article

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Abstract

Cellular signal transduction often involves a reaction network of phosphorylation and transport events arranged with a ladder topology. If we keep track of the location of the phosphate groups describing an abstract state space, a simple model of signal transduction involving enzymes can be mapped on to a problem of how multiple biased random walkers compete to reach their target in the nucleus yielding a signal. Here, the first passage time probability and the survival probability for multiple walkers can be used to characterize the response of the network. The statistics of the first passage through the network has an asymmetric distribution with a long tail arising from the hierarchical structure of the network. This distribution implies a significant difference between the mean and the most probable signal transduction time. The response patterns for various external inputs generated by our model agree with recent experiments. In addition, the model predicts that there is an optimal phosphorylation enzyme concentration for rapid signal transduction. 10.1073/pnas.0607698103


X BibTeX record

X RIS record



RIS BibTeX
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.