Titelangaben
Jain, Aditi ; Gupta, Arvind Kumar:
Modeling mRNA translation with ribosome abortions.
In: IEEE/ACM Transactions on Computational Biology and Bioinformatics.
Bd. 20
(2023)
Heft 2
.
- S. 1600-1605.
ISSN 1557-9964
DOI: https://doi.org/10.1109/TCBB.2022.3203171
Rez.: |
Angaben zu Projekten
Projektfinanzierung: |
Andere DST-SERB (grants CRG/2019/004669 and MTR/2019/000312) |
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Abstract
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.
Weitere Angaben
Publikationsform: | Artikel in einer Zeitschrift |
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Begutachteter Beitrag: | Ja |
Keywords: | gene translation; contraction theory; ribosome collisions; abortions; ribosome flow model |
Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Mathematik V (Angewandte Mathematik) Profilfelder > Advanced Fields > Nichtlineare Dynamik Forschungseinrichtungen > Zentrale wissenschaftliche Einrichtungen > Bayreuther Zentrum für Modellierung und Simulation (MODUS) |
Titel an der UBT entstanden: | Nein |
Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 510 Mathematik 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie |
Eingestellt am: | 07 Mär 2025 11:34 |
Letzte Änderung: | 07 Mär 2025 11:34 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92618 |