Literature DB >> 24384716

Explicit expression for the steady-state translation rate in the infinite-dimensional homogeneous ribosome flow model.

Yoram Zarai1, Michael Margaliot1, Tamir Tuller1.   

Abstract

Gene translation is a central stage in the intracellular process of protein synthesis. Gene translation proceeds in three major stages: initiation, elongation, and termination. During the elongation step, ribosomes (intracellular macromolecules) link amino acids together in the order specified by messenger RNA (mRNA) molecules. The homogeneous ribosome flow model (HRFM) is a mathematical model of translation-elongation under the assumption of constant elongation rate along the mRNA sequence. The HRFM includes $(n)$ first-order nonlinear ordinary differential equations, where $(n)$ represents the length of the mRNA sequence, and two positive parameters: ribosomal initiation rate and the (constant) elongation rate. Here, we analyze the HRFM when $(n)$ goes to infinity and derive a simple expression for the steady-state protein synthesis rate. We also derive bounds that show that the behavior of the HRFM for finite, and relatively small, values of $(n)$ is already in good agreement with the closed-form result in the infinite-dimensional case. For example, for $(n=15)$, the relative error is already less than 4 percent. Our results can, thus, be used in practice for analyzing the behavior of finite-dimensional HRFMs that model translation. To demonstrate this, we apply our approach to estimate the mean initiation rate in M. musculus, finding it to be around 0.17 codons per second.

Entities:  

Mesh:

Year:  2013        PMID: 24384716     DOI: 10.1109/TCBB.2013.120

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  12 in total

1.  Maximizing protein translation rate in the non-homogeneous ribosome flow model: a convex optimization approach.

Authors:  Gilad Poker; Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

2.  Ribosome flow model with extended objects.

Authors:  Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  J R Soc Interface       Date:  2017-10       Impact factor: 4.118

3.  On the Ribosomal Density that Maximizes Protein Translation Rate.

Authors:  Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  PLoS One       Date:  2016-11-18       Impact factor: 3.240

4.  Controllability Analysis and Control Synthesis for the Ribosome Flow Model.

Authors:  Yoram Zarai; Michael Margaliot; Eduardo D Sontag; Tamir Tuller
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2017-05-23       Impact factor: 3.710

5.  Sensitivity of mRNA Translation.

Authors:  Gilad Poker; Michael Margaliot; Tamir Tuller
Journal:  Sci Rep       Date:  2015-08-04       Impact factor: 4.379

6.  Optimal Down Regulation of mRNA Translation.

Authors:  Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  Sci Rep       Date:  2017-01-25       Impact factor: 4.379

7.  A deterministic mathematical model for bidirectional excluded flow with Langmuir kinetics.

Authors:  Yoram Zarai; Michael Margaliot; Tamir Tuller
Journal:  PLoS One       Date:  2017-08-23       Impact factor: 3.240

8.  Optimal Translation Along a Circular mRNA.

Authors:  Yoram Zarai; Alexander Ovseevich; Michael Margaliot
Journal:  Sci Rep       Date:  2017-08-25       Impact factor: 4.379

9.  Compensating Complete Loss of Signal Recognition Particle During Co-translational Protein Targeting by the Translation Speed and Accuracy.

Authors:  Liuqun Zhao; Gang Fu; Yanyan Cui; Zixiang Xu; Tao Cai; Dawei Zhang
Journal:  Front Microbiol       Date:  2021-07-09       Impact factor: 5.640

10.  Entrainment to periodic initiation and transition rates in a computational model for gene translation.

Authors:  Michael Margaliot; Eduardo D Sontag; Tamir Tuller
Journal:  PLoS One       Date:  2014-05-06       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.