Literature DB >> 24928152

Transmission of intra-cellular genetic information: a system proposal.

L C B Faria1, A S L Rocha2, R Palazzo3.   

Abstract

One of the great challenges of the scientific community on theories of genetic information, genetic communication and genetic coding is to determine a mathematical structure related to DNA sequences. In this paper we propose a model of an intra-cellular transmission system of genetic information similar to a model of a power and bandwidth efficient digital communication system in order to identify a mathematical structure in DNA sequences where such sequences are biologically relevant. The model of a transmission system of genetic information is concerned with the identification, reproduction and mathematical classification of the nucleotide sequence of single stranded DNA by the genetic encoder. Hence, a genetic encoder is devised where labelings and cyclic codes are established. The establishment of the algebraic structure of the corresponding codes alphabets, mappings, labelings, primitive polynomials (p(x)) and code generator polynomials (g(x)) are quite important in characterizing error-correcting codes subclasses of G-linear codes. These latter codes are useful for the identification, reproduction and mathematical classification of DNA sequences. The characterization of this model may contribute to the development of a methodology that can be applied in mutational analysis and polymorphisms, production of new drugs and genetic improvement, among other things, resulting in the reduction of time and laboratory costs.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Cyclic codes over Galois extension rings and DNA sequences; Genetic coding; Geometrically uniform codes

Mesh:

Year:  2014        PMID: 24928152     DOI: 10.1016/j.jtbi.2014.05.040

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


  2 in total

1.  Signal Transmission of Biological Reaction-Diffusion System by Using Synchronization.

Authors:  Lingli Zhou; Jianwei Shen
Journal:  Front Comput Neurosci       Date:  2017-10-10       Impact factor: 2.380

2.  Ancient DNA sequence revealed by error-correcting codes.

Authors:  Marcelo M Brandão; Larissa Spoladore; Luzinete C B Faria; Andréa S L Rocha; Marcio C Silva-Filho; Reginaldo Palazzo
Journal:  Sci Rep       Date:  2015-07-10       Impact factor: 4.379

  2 in total

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