Literature DB >> 21263169

Distribution of dwell times of a ribosome: effects of infidelity, kinetic proofreading and ribosome crowding.

Ajeet K Sharma1, Debashish Chowdhury.   

Abstract

Ribosome is a molecular machine that polymerizes a protein where the sequence of the amino acid residues, the monomers of the protein, is dictated by the sequence of codons (triplets of nucleotides) on a messenger RNA (mRNA) that serves as the template. The ribosome is a molecular motor that utilizes the template mRNA strand also as the track. Thus, in each step the ribosome moves forward by one codon and, simultaneously, elongates the protein by one amino acid. We present a theoretical model that captures most of the main steps in the mechanochemical cycle of a ribosome. The stochastic movement of the ribosome consists of an alternating sequence of pause and translocation; the sum of the durations of a pause and the following translocation is the time of dwell of the ribosome at the corresponding codon. We derive the analytical expression for the distribution of the dwell times of a ribosome in our model. Wherever experimental data are available, our theoretical predictions are consistent with those results. We suggest appropriate experiments to test the new predictions of our model, particularly the effects of the quality control mechanism of the ribosome and that of their crowding on the mRNA track.

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Year:  2011        PMID: 21263169     DOI: 10.1088/1478-3975/8/2/026005

Source DB:  PubMed          Journal:  Phys Biol        ISSN: 1478-3967            Impact factor:   2.583


  10 in total

1.  Structural conditions on complex networks for the Michaelis-Menten input-output response.

Authors:  Felix Wong; Annwesha Dutta; Debashish Chowdhury; Jeremy Gunawardena
Journal:  Proc Natl Acad Sci U S A       Date:  2018-09-07       Impact factor: 11.205

2.  Predictive biophysical modeling and understanding of the dynamics of mRNA translation and its evolution.

Authors:  Hadas Zur; Tamir Tuller
Journal:  Nucleic Acids Res       Date:  2016-09-02       Impact factor: 16.971

Review 3.  Computational studies of molecular machines: the ribosome.

Authors:  Karissa Y Sanbonmatsu
Journal:  Curr Opin Struct Biol       Date:  2012-02-13       Impact factor: 6.809

4.  Quantitative Connection between Ensemble Thermodynamics and Single-Molecule Kinetics: A Case Study Using Cryogenic Electron Microscopy and Single-Molecule Fluorescence Resonance Energy Transfer Investigations of the Ribosome.

Authors:  Colin D Kinz Thompson; Ajeet K Sharma; Joachim Frank; Ruben L Gonzalez; Debashish Chowdhury
Journal:  J Phys Chem B       Date:  2015-03-31       Impact factor: 2.991

5.  Stepping and crowding of molecular motors: statistical kinetics from an exclusion process perspective.

Authors:  Luca Ciandrini; M Carmen Romano; Andrea Parmeggiani
Journal:  Biophys J       Date:  2014-09-02       Impact factor: 4.033

6.  Genome-scale analysis of translation elongation with a ribosome flow model.

Authors:  Shlomi Reuveni; Isaac Meilijson; Martin Kupiec; Eytan Ruppin; Tamir Tuller
Journal:  PLoS Comput Biol       Date:  2011-09-01       Impact factor: 4.475

7.  Dwell-Time Distribution, Long Pausing and Arrest of Single-Ribosome Translation through the mRNA Duplex.

Authors:  Ping Xie
Journal:  Int J Mol Sci       Date:  2015-10-09       Impact factor: 5.923

8.  Identifying feasible operating regimes for early T-cell recognition: The speed, energy, accuracy trade-off in kinetic proofreading and adaptive sorting.

Authors:  Wenping Cui; Pankaj Mehta
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

9.  A chemical kinetic basis for measuring translation initiation and elongation rates from ribosome profiling data.

Authors:  Ajeet K Sharma; Pietro Sormanni; Nabeel Ahmed; Prajwal Ciryam; Ulrike A Friedrich; Günter Kramer; Edward P O'Brien
Journal:  PLoS Comput Biol       Date:  2019-05-23       Impact factor: 4.475

10.  Design principles for the glycoprotein quality control pathway.

Authors:  Aidan I Brown; Elena F Koslover
Journal:  PLoS Comput Biol       Date:  2021-02-01       Impact factor: 4.475

  10 in total

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