mRNA translation from a unidirectional traffic perspective
Binil Shyam T V, Rati Sharma

TL;DR
This paper reviews the use of the TASEP model to understand the physics and dynamics of mRNA translation, highlighting its successes, limitations, and potential future directions in studying ribosome traffic.
Contribution
It provides a comprehensive overview of the TASEP framework in modeling mRNA translation, discussing its evolution, limitations, and proposing extensions for future research.
Findings
TASEP effectively models ribosome traffic and translation dynamics.
Limitations of TASEP include assumptions that may oversimplify biological complexity.
Future extensions could improve understanding of translation regulation.
Abstract
mRNA translation is a crucial process that leads to protein synthesis in living cells. Therefore, it is a process that needs to work optimally for a cell to stay healthy and alive. With advancements in microscopy and novel experimental techniques, a lot of the intricate details about the translation mechanism are now known. However, the why and how of this mechanism are still ill understood, and therefore, is an active area of research. Theoretical studies of mRNA translation typically view it in terms of the Totally Asymmetric Simple Exclusion Process or TASEP. Various works have used the TASEP model in order to study a wide range of phenomena and factors affecting translation, such as ribosome traffic on an mRNA under noisy (codon-dependent or otherwise) conditions, ribosome stalling, premature termination, ribosome reinitiation and dropoff, codon-dependent elongation and competition…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and statistical mechanics · RNA and protein synthesis mechanisms · Diffusion and Search Dynamics
