DocumentCode :
3168398
Title :
Modeling and role of feedback controlled stochastic ratchets in cellular transport
Author :
Salapaka, Srinivasa ; Rowchowdhury, S. ; Salapaka, Murti
Author_Institution :
Fac. of Mech. Eng., Univ. of Illinois at Urbana Champaign, Champaign, IL, USA
fYear :
2012
fDate :
10-13 Dec. 2012
Firstpage :
374
Lastpage :
379
Abstract :
This paper develops a model for Brownian ratchets to analyze the cases where the transport characteristics are affected by feedback mechanisms. One main application of this approach is to gain insights on the intracellular transport of motor proteins (such as Kinesin and Dynein) on a microtubular track, and on the role of feedback control on their transport. The model comprises of a stochastic system where the system switches between two stochastic differential systems, where the switching criteria is a state-dependent stochastic variable. Simulations demonstrate that the feedback mechanism helps achieve an increased average velocity of transport and corroborates the hypothesis that a motor protein can achieve higher speeds of transport by restricting or enabling attachment/detachment of ATP/ADP like molecules depending on conformational changes in the motor-protein.
Keywords :
Brownian motion; biocontrol; cellular transport; differential equations; feedback; molecular configurations; proteins; stochastic systems; ADP like molecule detachment; ATP like molecule attachment; Brownian ratchet; Dynein; Kinesin; conformational change; feedback controlled stochastic ratchet; feedback mechanism; intracellular transport; microtubular track; motor protein; state-dependent stochastic variable; stochastic differential system; stochastic system; switching criteria; transport characteristics; transport speed; transport velocity; Biological system modeling; Force; Mathematical model; Proteins; Steady-state; Stochastic processes; Switches; Brownian ratchets; Kolmogorov-Chapman differential equations; cellular transport; kinesin walk; stochastic differential equations; switched/hybrid systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
ISSN :
0743-1546
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2012.6426263
Filename :
6426263
Link To Document :
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