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dc.contributor.authorSchilstra, M.
dc.contributor.authorNehaniv, C.L.
dc.date.accessioned2010-10-06T08:34:13Z
dc.date.available2010-10-06T08:34:13Z
dc.date.issued2010
dc.identifier.citationSchilstra , M & Nehaniv , C L 2010 , ' Stochastic model of template-directed elongation processes in biology ' , Biosystems , vol. 102 , no. 1 , pp. 55-60 . https://doi.org/10.1016/j.biosystems.2010.07.006
dc.identifier.issn0303-2647
dc.identifier.otherdspace: 2299/4887
dc.identifier.urihttp://hdl.handle.net/2299/4887
dc.descriptionOriginal article can be found at: http://www.sciencedirect.com/science/journal/03032647 Copyright Elsevier Ireland Ltd.
dc.description.abstractWe present a novel modular, stochastic model for biological template-based linear chain elongation processes. In this model, elongation complexes (ECs; DNA polymerase, RNA polymerase, or ribosomes associated with nascent chains) that span a finite number of template units step along the template, one after another, with semaphore constructs preventing overtaking. The central elongation module is readily extended with modules that represent initiation and termination processes. The model was used to explore the effect of EC span on motor velocity and dispersion, and the effect of initiation activator and repressor binding kinetics on the overall elongation dynamics. The results demonstrate that (1) motors that move smoothly are able to travel at a greater velocity and closer together than motors that move more erratically, and (2) the rate at which completed chains are released is proportional to the occupancy or vacancy of activator or repressor binding sites only when initiation or activator/repressor dissociation is slow in comparison with elongation.en
dc.format.extent535227
dc.language.isoeng
dc.relation.ispartofBiosystems
dc.subjectSimulation
dc.subjectStochastic
dc.subjectModelling
dc.subjectPetri-net
dc.subjectSystems biology
dc.subjectParallel processes
dc.titleStochastic model of template-directed elongation processes in biologyen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=77957279495&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1016/j.biosystems.2010.07.006
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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