Title data
Jain, Aditi ; Gupta, Arvind Kumar:
Modeling transport of extended interacting objects with drop-off phenomenon.
In: PLoS One.
Vol. 17
(2022)
Issue 5
.
- e0267858.
ISSN 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0267858
Review: |
Project information
Project financing: |
Andere Science and Engineering Research Board (SERB) (grants CRG/2019/004669 and MTR/2019/000312) |
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Abstract in another language
We study a deterministic framework for important cellular transport phenomena involving a large number of interacting molecules called the *excluded flow of extended interacting objects with drop-off effect* (EFEIOD). This model incorporates many realistic features of biological transport process including the length of biological “particles” and the fact that they can detach along the biological ‘tracks’. The flow between the consecutive sites is unidirectional and is described by a “soft” simple exclusion principle and by repelling or attracting forces between neighboring particles. We show that the model admits a unique steady-state. Furthermore, if the parameters are periodic with common period T, then the steady-state profile converge to a unique periodic solution of period T. Simulations of the EFEIOD demonstrate several non-trivial effects of the interactions on the system steady-state profile. For example, detachment rates may help in increasing the steady-state flow by alleviating traffic jams that can exist due to several reasons like bottleneck rate or interactive forces between the particles. We also analyze the special case of our model, when there are no forces exerted by neighboring particles, and called it as the ribosome flow model of extended objects with drop-off effect (RFMEOD), and study the sensitivity of its steady-state to variations in the parameters.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) Profile Fields > Advanced Fields > Nonlinear Dynamics Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS |
Result of work at the UBT: | No |
DDC Subjects: | 500 Science > 510 Mathematics 500 Science > 570 Life sciences, biology |
Date Deposited: | 07 Mar 2025 11:20 |
Last Modified: | 07 Mar 2025 11:20 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92617 |