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Article

Affinity and Correlation in DNA

Istituto di Chimica dei Composti OrganoMetallici (UOS Pisa)—CNR, Area della Ricerca di Pisa, Via G Moruzzi, 1, 56124 Pisa, Italy
J 2022, 5(2), 214-231; https://doi.org/10.3390/j5020016
Submission received: 28 January 2022 / Revised: 6 March 2022 / Accepted: 8 April 2022 / Published: 14 April 2022
(This article belongs to the Section Biology & Life Sciences)

Abstract

A statistical analysis of important DNA sequences and related proteins has been performed to study the relationships between monomers, and some general considerations about these macromolecules can be provided from the results. First, the most important relationship between sites in all the DNA sequences examined is that between two consecutive base pairs. This is an indication of an energetic stabilization due to the stacking interaction of these couples of base pairs. Secondly, the difference between human chromosome sequences and their coding parts is relevant both in the relationships between sites and in some specific compositional rules, such as the second Chargaff rule. Third, the evidence of the relationship in two successive triplets of DNA coding sequences generates a relationship between two successive amino acids in the proteins. This is obviously impossible if all the relationships between the sites are statistical evidence and do not involve causes; therefore, in this article, due to stacking interactions and this relationship in coding sequences, we will divide the concept of the relationship between sites into two concepts: affinity and correlation, the first with physical causes and the second without. Finally, from the statistical analyses carried out, it will emerge that the human genome is uniform, with the only significant exception being the Y chromosome.
Keywords: affinity in DNA; correlation in DNA; affinity and correlation in macromolecules; second Chargaff rule; coding and non-coding parts of DNA affinity in DNA; correlation in DNA; affinity and correlation in macromolecules; second Chargaff rule; coding and non-coding parts of DNA

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MDPI and ACS Style

Villani, G. Affinity and Correlation in DNA. J 2022, 5, 214-231. https://doi.org/10.3390/j5020016

AMA Style

Villani G. Affinity and Correlation in DNA. J. 2022; 5(2):214-231. https://doi.org/10.3390/j5020016

Chicago/Turabian Style

Villani, Giovanni. 2022. "Affinity and Correlation in DNA" J 5, no. 2: 214-231. https://doi.org/10.3390/j5020016

APA Style

Villani, G. (2022). Affinity and Correlation in DNA. J, 5(2), 214-231. https://doi.org/10.3390/j5020016

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