Literature DB >> 18237749

The tri-frame model.

Elsje Pienaar1, Hendrik J Viljoen.   

Abstract

The tri-frame model gives mathematical expression to the transcription and translation processes, and considers all three reading frames (RFs). RNA polymerases transcribe DNA in single nucleotide increments, but ribosomes translate mRNA in pairings of three (triplets or codons). The set of triplets in the mRNA, starting with the initiation codon (usually AUG) defines the open reading frame (ORF). Since ribosomes do not always translocate three nucleotide positions, two additional RFs are accessible. The -1 RF and the +1 RF are triplet pairings of the mRNA, which are accessed by shifting one nucleotide position in the 5' and 3' directions, respectively. Transcription is modeled as a linear operator that maps the initial codons in all three frames into other codon sets to account for possible transcriptional errors. Translational errors (missense errors) originate from misacylation of tRNAs and misreading of aa-tRNAs by the ribosome. Translation is modeled as a linear mapping from codons into aa-tRNA species, which includes misreading errors. A final transformation from aa-tRNA species into amino acids provides the probability distributions of possible amino acids into which the codons in all three frames could be translated. An important element of the tri-frame model is the ribosomal occupancy probability. It is a vector in R(3) that gives the probability to find the ribosome in the ORF, -1 or +1 RF at each codon position. The sequence of vectors, from the first to the final codon position, gives a history of ribosome frameshifting. The model is powerful: it provides explicit expressions for (1) yield of error-free protein, (2) fraction of prematurely terminated polypeptides, (3) number of transcription errors, (4) number of translation errors and (5) mutations due to frameshifting. The theory is demonstrated for the three genes rpsU, dnaG and rpoD of Escherichia coli, which lie on the same operon, as well as for the prfB gene.

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Year:  2007        PMID: 18237749      PMCID: PMC2444053          DOI: 10.1016/j.jtbi.2007.12.003

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  28 in total

1.  Influences on translation initiation and early elongation by the messenger RNA region flanking the initiation codon at the 3' side.

Authors:  C Magnus Stenström; Leif A Isaksson
Journal:  Gene       Date:  2002-04-17       Impact factor: 3.688

2.  Synthesis and degradation of termination and premature-termination fragments of beta-galactosidase in vitro and in vivo.

Authors:  J L Manley
Journal:  J Mol Biol       Date:  1978-11-15       Impact factor: 5.469

3.  Maintenance of the correct open reading frame by the ribosome.

Authors:  Thomas M Hansen; Pavel V Baranov; Ivaylo P Ivanov; Raymond F Gesteland; John F Atkins
Journal:  EMBO Rep       Date:  2003-05       Impact factor: 8.807

4.  Kinetic determinants of high-fidelity tRNA discrimination on the ribosome.

Authors:  Kirill B Gromadski; Marina V Rodnina
Journal:  Mol Cell       Date:  2004-01-30       Impact factor: 17.970

5.  An "integrated model" of programmed ribosomal frameshifting.

Authors:  Jason W Harger; Arturas Meskauskas; Jonathan D Dinman
Journal:  Trends Biochem Sci       Date:  2002-09       Impact factor: 13.807

6.  Maintaining the ribosomal reading frame: the influence of the E site during translational regulation of release factor 2.

Authors:  Viter Márquez; Daniel N Wilson; Warren P Tate; Francisco Triana-Alonso; Knud H Nierhaus
Journal:  Cell       Date:  2004-07-09       Impact factor: 41.582

7.  Ribosome kinetics and aa-tRNA competition determine rate and fidelity of peptide synthesis.

Authors:  Aaron Fluitt; Elsje Pienaar; Hendrik Viljoen
Journal:  Comput Biol Chem       Date:  2007-08-15       Impact factor: 2.877

8.  The RNA code and protein synthesis.

Authors:  M Nirenberg; T Caskey; R Marshall; R Brimacombe; D Kellogg; B Doctor; D Hatfield; J Levin; F Rottman; S Pestka; M Wilcox; F Anderson
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1966

9.  Codon bias at the 3'-side of the initiation codon is correlated with translation initiation efficiency in Escherichia coli.

Authors:  C M Stenström; H Jin; L L Major; W P Tate; L A Isaksson
Journal:  Gene       Date:  2001-01-24       Impact factor: 3.688

10.  Ribosome structure: revisiting the connection between translational accuracy and unconventional decoding.

Authors:  Guillaume Stahl; Gregory P McCarty; Philip J Farabaugh
Journal:  Trends Biochem Sci       Date:  2002-04       Impact factor: 13.807

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  5 in total

1.  A comprehensive, quantitative, and genome-wide model of translation.

Authors:  Marlena Siwiak; Piotr Zielenkiewicz
Journal:  PLoS Comput Biol       Date:  2010-07-29       Impact factor: 4.475

2.  Natural selection retains overrepresented out-of-frame stop codons against frameshift peptides in prokaryotes.

Authors:  Herman Tse; James J Cai; Hoi-Wah Tsoi; Esther Pt Lam; Kwok-Yung Yuen
Journal:  BMC Genomics       Date:  2010-09-09       Impact factor: 3.969

Review 3.  Mathematical and Computational Modelling of Ribosomal Movement and Protein Synthesis: an overview.

Authors:  Tobias von der Haar
Journal:  Comput Struct Biotechnol J       Date:  2012-02-20       Impact factor: 7.271

4.  Transimulation - protein biosynthesis web service.

Authors:  Marlena Siwiak; Piotr Zielenkiewicz
Journal:  PLoS One       Date:  2013-09-05       Impact factor: 3.240

5.  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
  5 in total

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