Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-79992-4_1
Title: From CA to gene expression: Machines and mechanisms
Authors: Chowdhury, D.
Garai, A.
Greulich, P.
Nishinari, K.
Schadschneider, A.
Tripathi, T.
Wang, J.-S. 
Issue Date: 2008
Citation: Chowdhury, 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. https://doi.org/10.1007/978-3-540-79992-4_1
Abstract: Molecular 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.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/98727
ISBN: 3540799915
ISSN: 03029743
DOI: 10.1007/978-3-540-79992-4_1
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.