Genomatrices and the Genetic Octet Yin-Yang-Algebras

Genomatrices and the Genetic Octet Yin-Yang-Algebras

Sergey Petoukhov, Matthew He
ISBN13: 9781605661247|ISBN10: 1605661244|EISBN13: 9781605661254
DOI: 10.4018/978-1-60566-124-7.ch007
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MLA

Sergey Petoukhov and Matthew He. "Genomatrices and the Genetic Octet Yin-Yang-Algebras." Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications, IGI Global, 2010, pp.132-167. https://doi.org/10.4018/978-1-60566-124-7.ch007

APA

S. Petoukhov & M. He (2010). Genomatrices and the Genetic Octet Yin-Yang-Algebras. IGI Global. https://doi.org/10.4018/978-1-60566-124-7.ch007

Chicago

Sergey Petoukhov and Matthew He. "Genomatrices and the Genetic Octet Yin-Yang-Algebras." In Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-60566-124-7.ch007

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Abstract

Algebraic properties of the genetic code are analyzed. The investigations of the genetic code on the basis of matrix approaches (“matrix genetics”) are described. The degeneracy of the vertebrate mitochondrial genetic code is reflected in the black-and-white mosaic of the (8*8)-matrix of 64 triplets, 20 amino acids, and stop-signals. The special algorithm, which is based on features of genetic molecules, exists to transform the mosaic genomatrix into the matrices, which are members of the special 8-dimensional algebra. Main mathematical properties of this genetic algebra and its relations with other algebras are analyzed together with some important consequences from the adequate algebraic models of the genetic code. Elements of new “genovector calculation” and ideas of “genetic mechanics” are discussed. The revealed fact of the relation between the genetic code and these genetic algebras, which define new multi-dimensional numeric systems, is discussed in connection with the famous idea by Pythagoras: “All things are numbers.” Simultaneously, these genetic algebras can be utilized as the algebras of genetic operators in biological organisms. The described results are related to the problem of algebraization of bioinformatics. They draw attention to the question: what is life from the viewpoint of algebra?

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