Literature DB >> 15059829

TIP: protein backtranslation aided by genetic algorithms.

Andrés Moreira1, Alejandro Maass.   

Abstract

UNLABELLED: Several applications require the backtranslation of a protein sequence into a nucleic acid sequence. The degeneracy of the genetic code makes this process ambiguous; moreover, not every translation is equally viable. The usual answer is to mimic the codon usage of the target species; however, this does not capture all the relevant features of the 'genomic styles' from different taxa. The program TIP ' Traducción Inversa de Proteínas') applies genetic algorithms to improve the backtranslation, by minimizing the difference of some coding statistics with respect to their average value in the target. AVAILABILITY: http://www.cmm.uchile.cl/genoma/tip/

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Year:  2004        PMID: 15059829     DOI: 10.1093/bioinformatics/bth204

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

1.  Sequence similarity is more relevant than species specificity in probabilistic backtranslation.

Authors:  Alfredo Ferro; Rosalba Giugno; Giuseppe Pigola; Alfredo Pulvirenti; Cinzia Di Pietro; Michele Purrello; Marco Ragusa
Journal:  BMC Bioinformatics       Date:  2007-02-21       Impact factor: 3.169

2.  Aligning coding sequences with frameshift extension penalties.

Authors:  Safa Jammali; Esaie Kuitche; Ayoub Rachati; François Bélanger; Michelle Scott; Aïda Ouangraoua
Journal:  Algorithms Mol Biol       Date:  2017-03-31       Impact factor: 1.405

3.  Back-translation for discovering distant protein homologies in the presence of frameshift mutations.

Authors:  Marta Girdea; Laurent Noe; Gregory Kucherov
Journal:  Algorithms Mol Biol       Date:  2010-01-04       Impact factor: 1.405

4.  Optimal encoding rules for synthetic genes: the need for a community effort.

Authors:  Gang Wu; Laura Dress; Stephen J Freeland
Journal:  Mol Syst Biol       Date:  2007-09-18       Impact factor: 11.429

  4 in total

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