Open Access

ARTICLE

Describe the Mathematical Model for Exchanging Waves Between Bacterial and Cellular DNA

by Mohamed S. Mohamed^1,*, Sayed K. Elagan¹, Saad J. Almalki¹, Muteb R. Alharthi¹, Mohamed F. El-Badawy², Amr M. S. Mahdy¹

1 Department of Mathematics, College of Science, Taif University, Taif, 21944, Saudi Arabia
2 Microbiology and immunology Department, Faculty of Pharmacy, University of Sadat City, Menoufiya Governorate, Egypt

* Corresponding Author: Mohamed S. Mohamed. Email:

(This article belongs to the Special Issue: Artificial Intelligence and Healthcare Analytics for COVID-19)

Computers, Materials & Continua 2021, 68(3), 3615-3628. https://doi.org/10.32604/cmc.2021.017208

Received 23 January 2021; Accepted 26 February 2021; Issue published 06 May 2021

Abstract

In this article, we have shown that bacterial DNA could act like some coils which interact with coil-like DNA of host cells. By decreasing the separating distance between two bacterial cellular DNA, the interaction potential, entropy, and the number of microstates of the system grow. Moreover, the system gives its energy to the medium and the temperature of the host body grows. This could be seen as fever in diseases. By emitting some special waves and changing the temperature of the medium, the effects of bacterial waves could be reduced and bacterial diseases could be controlled. Many investigators have shown that bacterial DNA could emit or absorb electromagnetic waves. One of the main experiments about bacterial waves has been done by Montagnier and his group. They have shown that the genomic DNA of most pathogenic bacteria includes sequences that are able to emit electromagnetic waves. The results have shown that wave affects the crucial physicochemical processes in both Gram-positive and Gram-negative bacteria. The emphasis in this survey is on the development of controlling model equations and computer emulation of the model equations rather than on mathematical methods for solving the model equations and differential equations of epidemics.

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