Literature DB >> 23221086

On the steady-state distribution in the homogeneous ribosome flow model.

Michael Margaliot1, Tamir Tuller.   

Abstract

A central biological process in all living organisms is gene translation. Developing a deeper understanding of this complex process may have ramifications to almost every biomedical discipline. Reuveni et al. recently proposed a new computational model of gene translation called the Ribosome Flow Model (RFM). In this paper, we consider a particular case of this model, called the Homogeneous Ribosome Flow Model (HRFM). From a biological viewpoint, this corresponds to the case where the transition rates of all the coding sequence codons are identical. This regime has been suggested recently based on experiments in mouse embryonic cells. We consider the steady-state distribution of the HRFM. We provide formulas that relate the different parameters of the model in steady state. We prove the following properties: 1) the ribosomal density profile is monotonically decreasing along the coding sequence; 2) the ribosomal density at each codon monotonically increases with the initiation rate; and 3) for a constant initiation rate, the translation rate monotonically decreases with the length of the coding sequence. In addition, we analyze the translation rate of the HRFM at the limit of very high and very low initiation rate, and provide explicit formulas for the translation rate in these two cases. We discuss the relationship between these theoretical results and biological findings on the translation process.

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Year:  2012        PMID: 23221086     DOI: 10.1109/TCBB.2012.120

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


  13 in total

1.  Ribosome flow model with positive feedback.

Authors:  Michael Margaliot; Tamir Tuller
Journal:  J R Soc Interface       Date:  2013-05-29       Impact factor: 4.118

2.  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

3.  A model for competition for ribosomes in the cell.

Authors:  Alon Raveh; Michael Margaliot; Eduardo D Sontag; Tamir Tuller
Journal:  J R Soc Interface       Date:  2016-03       Impact factor: 4.118

4.  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

5.  Optimal Down Regulation of mRNA Translation.

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

6.  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

7.  A deterministic model for one-dimensional excluded flow with local interactions.

Authors:  Yoram Zarai; Michael Margaliot; Anatoly B Kolomeisky
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

8.  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

9.  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

10.  Accurate prediction of cellular co-translational folding indicates proteins can switch from post- to co-translational folding.

Authors:  Daniel A Nissley; Ajeet K Sharma; Nabeel Ahmed; Ulrike A Friedrich; Günter Kramer; Bernd Bukau; Edward P O'Brien
Journal:  Nat Commun       Date:  2016-02-18       Impact factor: 14.919

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