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

Citation
M. Mussat et al., A constructionist model predicting the emergence, complementarity and classification of the nucleotide bases, MED HYPOTH, 51(6), 1998, pp. 511-523
Citations number
24
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Journal title
MEDICAL HYPOTHESES
ISSN journal
03069877 → ACNP
Volume
51
Issue
6
Year of publication
1998
Pages
511 - 523
Database
ISI
SICI code
0306-9877(199812)51:6<511:ACMPTE>2.0.ZU;2-W
Abstract
We are proposing an analytical matrix that models a logical process simulat ing the emergence of the bases of vital nucleotides. The construction and p roperties of the matricial model are outlined. The Graph 1 matrix specifies a unique distribution pattern of eight terms coded in binary triplet confi gurations and obeys specific dynamic laws. The whole set of binary triplet configurations is in dynamic equilibrium. For that reason, it is possible t o carry out an analysis by entering by any one of the eight terms on the co ndition that the operating mode obeys all the internal laws of orientation and symmetries inherent in the matrix. The four chemical elements at the or igin of life are distributed following their atomic structures in the order hydrogen (H), carbon (C), nitrogen (N) and oxygen (O) and organized accord ing to the model. The dynamic properties of the model necessitate the runni ng of three successive circular periodic studies per analysis in order to s how the emergence of the four bases - adenine, guanine, cytosine and thymin e - precisely in that order. The fifth base of the nucleotides - uracil - s hows up twice but always in an intermediate position, thus in transition, a s it is the case for messenger ribonucleic acid (mRNA). We show also that t he model provides for a logical explanation of the law of complementarity o f the bases and their chemical classification. It is proposed that subseque nt 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 logica l and dynamic approach to molecular genetics is possible.