Literature DB >> 18567568

Control of translation initiation: a model-based analysis from limited experimental data.

Richard J Dimelow1, Stephen J Wilkinson.   

Abstract

We have built a detailed kinetic model of translation initiation in yeast and have used a novel approach to determine the flux controlling steps based on limited experimental data. An efficient parameter estimation method was adapted in order to fit the most uncertain parameters (rate constants) to in vivo measurements in yeast. However, it was found that there were many other sets of plausible parameter values that also gave a good fit of the model to the data. We therefore used random sampling of this uncertain parameter space to generate a large number of diverse fitted parameter sets. A compact characterization of these parameter sets was provided by considering flux control. In particular, we suggest that the rate of translation initiation is most strongly influenced by one of two reactions: either the guanine nucleotide exchange reaction involving initiation factors eIF2 and eIF2B or the assembly of the multifactor complex from its constituent protein/tRNA containing complexes. It is hoped that the approach presented in this paper will add to our understanding of translation initiation pathway and can be used to identify key system-level properties of other biochemical processes.

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Year:  2009        PMID: 18567568      PMCID: PMC2610325          DOI: 10.1098/rsif.2008.0221

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  33 in total

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Journal:  Biochem Biophys Res Commun       Date:  2001-12-07       Impact factor: 3.575

2.  A multifactor complex of eukaryotic initiation factors, eIF1, eIF2, eIF3, eIF5, and initiator tRNA(Met) is an important translation initiation intermediate in vivo.

Authors:  K Asano; J Clayton; A Shalev; A G Hinnebusch
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3.  Modeling the ribosomal small subunit dynamic in Saccharomyces cerevisiae based on TCP-seq data.

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Review 5.  Mathematical and Computational Modelling of Ribosomal Movement and Protein Synthesis: an overview.

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Journal:  Comput Struct Biotechnol J       Date:  2012-02-20       Impact factor: 7.271

6.  Comparing antiviral strategies against COVID-19 via multiscale within-host modelling.

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Journal:  R Soc Open Sci       Date:  2021-08-11       Impact factor: 2.963

7.  mRNA translation and protein synthesis: an analysis of different modelling methodologies and a new PBN based approach.

Authors:  Yun-Bo Zhao; J Krishnan
Journal:  BMC Syst Biol       Date:  2014-02-27

8.  A stochastic model for simulating ribosome kinetics in vivo.

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Journal:  PLoS Comput Biol       Date:  2020-02-12       Impact factor: 4.475

  8 in total

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