The Self-Referential Genetic Code is Biologic and Includes the Error Minimization Property

Origins of Life and Evolution of the Biosphere : the Journal of the International Society for the Study of the Origin of Life
Romeu Cardoso Guimarães

Abstract

The distribution of the triplet to amino acid correspondences in the genetic code matrix contains blocks of similarity. There are (a) groups of similar triplets coding for the same amino acid, which is called code degeneracy, and (b) clusters of similar amino acids corresponding to similar triplets. Processes that led to this regionalization have been investigated through a variety of perspectives but no consensus has been reached and no model has been convincing enough to drive experimental tests. Most traditional has been the hypothesis that the code was derived from the standard evolutionary processes of testing variations in the correspondences through the fitness measure of reaching distributions in the matrix space in an optimal manner so that the effects of mutations on protein phenotypes would be minimized, that is, with reduction of the intensity or of the deviant quality of the functional alterations associated with variations. In contrast, the self-referential model for the formation of the code is based on an original regionalization of characters through the concerted superposition of the two components of the encodings: the four modules of dimers of tRNAs are occupied sequentially by sets of amino acids that are a...Continue Reading

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Citations

Feb 10, 2016·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Peter R Wills
Mar 22, 2016·Life·Elena Fimmel, Lutz Strüngmann
Apr 7, 2019·Journal of Molecular Evolution·Jacques Demongeot, Hervé Seligmann
May 24, 2019·Journal of Computational Biology : a Journal of Computational Molecular Cell Biology·Jacques Demongeot, Hervé Seligmann
Jul 4, 2019·Die Naturwissenschaften·Jacques Demongeot, Hervé Seligmann
Dec 16, 2020·BioEssays : News and Reviews in Molecular, Cellular and Developmental Biology·Jacques DemongeotHervé Seligmann
Oct 9, 2020·Gene·Jacques Demongeot, Hervé Seligmann
Apr 3, 2019·Journal of Theoretical Biology·Jacques Demongeot, Hervé Seligmann

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