Please use this identifier to cite or link to this item: http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/3318
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dc.contributor.authorJindal, A.-
dc.contributor.authorBhatia, N.-
dc.contributor.authorKolomeisky, A. B.-
dc.contributor.authorGupta, A. K.-
dc.date.accessioned2021-12-18T11:57:37Z-
dc.date.available2021-12-18T11:57:37Z-
dc.date.issued2021-12-18-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3318-
dc.description.abstractMotor proteins or biological molecular motors belong to a class of active enzymatic molecules that are responsible for transport and force generation in living cells. They typically operate in large teams and individual protein molecules interact with each other while moving along linear cytoskeleton filaments. Moreover, during their transportation the motors can reversibly dissociate from their tracks. Motivated by these observations, we propose a one dimensional totally asymmetric simple exclusion model for interacting particles that are allowed to reversibly dissociate/associate from a particular site far away from the system boundaries. A theoretical analysis of the model is based on cluster mean-field approximation that allows for a comprehensive description of the stationary properties in the system. It is found that the topology and nature of stationary phase diagrams for varying association/dissociation rates strongly depend on the sign and strength of interactions. Extensive Monte Carlo simulations are implemented to test our theoretical predictions.en_US
dc.language.isoen_USen_US
dc.subjectDriven diffusive systemen_US
dc.subjectTASEPen_US
dc.subjectInteractionsen_US
dc.subjectcluster mean-fielden_US
dc.subjectLocal reversible dissociationen_US
dc.subjectMonte Carlo simulationsen_US
dc.titleThe effect of local reversible dissociation of particles in interactive driven diffusive systemen_US
dc.typeArticleen_US
Appears in Collections:Year-2022

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