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Modeling mRNA translation with ribosome abortions

Title data

Jain, Aditi ; Gupta, Arvind Kumar:
Modeling mRNA translation with ribosome abortions.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 20 (2023) Issue 2 . - pp. 1600-1605.
ISSN 1557-9964
DOI: https://doi.org/10.1109/TCBB.2022.3203171

Review:

Project information

Project financing: Andere
DST-SERB (grants CRG/2019/004669 and MTR/2019/000312)

Abstract in another language

We derive a deterministic mathematical model for the flow of ribosomes along a mRNA called the ribosome flow model with extended objects and abortions (RFMEOA). This model incorporates important cellular features such as every ribosome covers several codons and they may detach from various regions along the track due to more realistic biological situations including phenomena of ribosome-ribosome collisions. We prove that the ribosome density profile along the mRNA in the RFMEOA and in particular, the protein production rate converge to a unique steady-state. Simulations of the RFMEOA demonstrate a surprising result that an increase in the initiation rate may sometimes lead to a decrease in the production rate. We believe that this model could be helpful to provide insight into the effects of premature termination on the protein expression and be useful for understanding and re-engineering the translation process.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: gene translation; contraction theory; ribosome collisions; abortions; ribosome flow model
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 11:34
Last Modified: 07 Mar 2025 11:34
URI: https://eref.uni-bayreuth.de/id/eprint/92618