A constructionist model predicting the emergence, complementarity and classification of the nucleotide bases

• Published in: Medical hypotheses Vol. 51; no. 6; pp. 511 - 523
• Main Authors: Mussat, M., Bégin, M.E., Bureau, J.P.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.12.1998; Elsevier
• Subjects: Analytical, structural and metabolic biochemistry; Base Sequence; Biological and medical sciences; DNA - chemistry; DNA - genetics; Evolution, Molecular; Fundamental and applied biological sciences. Psychology; Genetic Code; Models, Genetic; Molecular Biology; Nucleic acids; Nucleic bases, nucleotides; Nucleosides - chemistry; Origin of Life; Space life sciences; Human; Animal; Cytologic investigation; Cytogenetics; Nucleotide; Molecular biology; Base
• ISSN: 0306-9877; 1532-2777
• DOI: 10.1016/S0306-9877(98)90075-5

We are proposing an analytical matrix that models a logical process simulating the emergence of the bases of vital nucleotides. The construction and properties of the matricial model are outlined. The Graph 1 matrix specifies a unique distribution pattern of eight terms coded in binary triplet configurations and obeys specific dynamic laws. The whole set of binary triplet configurations is in dynamic equilibrium. For that reason, it is possible to carry out an analysis by entering by any one of the eight terms on the condition that the operating mode obeys all the internal laws of orientation and symmetries inherent in the matrix. The four chemical elements at the origin of life are distributed following their atomic structures in the order hydrogen (H), carbon (C), nitrogen (N) and oxygen (O) and organized according to the model. The dynamic properties of the model necessitate the running of three successive circular periodic studies per analysis in order to show the emergence of the four bases - adenine, guanine, cytosine and thymine - precisely in that order. The fifth base of the nucleotides - uracil - shows up twice but always in an intermediate position, thus in transition, as it is the case for messenger ribonucleic acid (mRNA). We show also that the model provides for a logical explanation of the law of complementarity of the bases and their chemical classification. It is proposed that subsequent developments of the dynamic laws of this matrix may lead to the study of the logical operations for the formation of protein sequences and of their analysis and to genetic bioprogramming in general. Thus, a strictly logical and dynamic approach to molecular genetics is possible.