Literature DB >> 22615472

DNA, dichotomic classes and frame synchronization: a quasi-crystal framework.

Simone Giannerini1, Diego Luis Gonzalez, Rodolfo Rosa.   

Abstract

In this article, we show how a new mathematical model of the genetic code can be exploited for investigating the almost periodic properties of DNA and mRNA protein-coding sequences. We present the main mathematical features of the model and highlight its connections with both number theory and group theory. The group theoretic framework presents interesting analogies with the theory of crystals. Moreover, we exploit the information provided by dichotomic classes, binary variables naturally derived from the mathematical model, in order to build statistical classifiers for retrieving and predicting the normal reading frame used by the ribosome in protein synthesis. The results show that coding sequences possess a local informational structure that can be related to frame synchronization processes. The information for retrieving the normal reading frame, which implies the existence of short-range correlations and almost periodic structures related to the organization of codons, offers an interesting analogy with the properties of quasi-crystals. From a theoretical point of view, our results might contribute to clarifying the relation between biological information and shape in nucleic acids and proteins. Also, from the point of view of applications, we present new promising tools for designing efficient algorithms for frame synchronization, which plays a crucial role in faithful synthesis of proteins.

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Year:  2012        PMID: 22615472     DOI: 10.1098/rsta.2011.0387

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  4 in total

1.  Beyond crystals: the dialectic of materials and information.

Authors:  Julyan H E Cartwright; Alan L Mackay
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2012-06-28       Impact factor: 4.226

2.  Circular codes, symmetries and transformations.

Authors:  Elena Fimmel; Simone Giannerini; Diego Luis Gonzalez; Lutz Strüngmann
Journal:  J Math Biol       Date:  2014-07-10       Impact factor: 2.259

3.  Combining genetic algorithm with machine learning strategies for designing potent antimicrobial peptides.

Authors:  Kyle Boone; Cate Wisdom; Kyle Camarda; Paulette Spencer; Candan Tamerler
Journal:  BMC Bioinformatics       Date:  2021-05-11       Impact factor: 3.169

4.  On the origin of degeneracy in the genetic code.

Authors:  D L Gonzalez; S Giannerini; R Rosa
Journal:  Interface Focus       Date:  2019-10-18       Impact factor: 3.906

  4 in total

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