Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-79992-4_1
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dc.titleFrom CA to gene expression: Machines and mechanisms
dc.contributor.authorChowdhury, D.
dc.contributor.authorGarai, A.
dc.contributor.authorGreulich, P.
dc.contributor.authorNishinari, K.
dc.contributor.authorSchadschneider, A.
dc.contributor.authorTripathi, T.
dc.contributor.authorWang, J.-S.
dc.date.accessioned2014-10-16T09:50:43Z
dc.date.available2014-10-16T09:50:43Z
dc.date.issued2008
dc.identifier.citationChowdhury, D.,Garai, A.,Greulich, P.,Nishinari, K.,Schadschneider, A.,Tripathi, T.,Wang, J.-S. (2008). From CA to gene expression: Machines and mechanisms. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5191 LNCS : 1-10. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-540-79992-4_1" target="_blank">https://doi.org/10.1007/978-3-540-79992-4_1</a>
dc.identifier.isbn3540799915
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/98727
dc.description.abstractMolecular motors are proteins or macromolecular complexes which use input energy to perform mechanical work. Some of these motors move on filamentous proteins whereas other move on DNA or RNA strands. Often, many such motors move simultaneously on the same track and their collective movement is similar to vehicular traffic on highways. We have developed theoretical models of different types of molecular motor traffic by appropriately extending the totally asymmetric simple exclusion process (TASEP). Thus, our models of molecular motor traffic belong to the broad class of driven-diffusive lattice gas models which have close relations with cellular automata. By drawing analogy with vehicular traffic, we have introduced novel quantities for characterizing the nature of the spatio-temporal organization of molecular motors on their tracks. We show how the mechano-chemistry of the individual motors influence the traffic-like intracellular collective phenomena. © 2008 Springer-Verlag Berlin Heidelberg.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-540-79992-4_1
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentPHYSICS
dc.description.doi10.1007/978-3-540-79992-4_1
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume5191 LNCS
dc.description.page1-10
dc.identifier.isiutNOT_IN_WOS
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