Science

The Fibonacci sequence reveals the symmetry of the genetic password

Genetic passwords are the blueprint of life and have many secrets in its structure. One of the most charming aspects is how it translates genetic information into an essential protein for all organisms. Recent discovery shows that the mathematical model (such as the famous Fibonache sequence) may be the key to revealing the hidden symmetry in the genetic password. These symmetry are not only an abstract concept, but also the basis of understanding how life itself is organized in the molecular layer. By exploring these models, we can obtain new opinions on the basic process of controlling life, even depending on the performance of amino acids in its natural environment.

Researchers reveal the hidden symmetry in amino acids by using the Fibonacci -sample sequence, especially in their physiological state, a major breakthrough in understanding the genetic password. The study was conducted by Professor Tidjaninégadi from the University of Olan, Algeria, and proposed a new type of mathematical method to analyze genetic passwords. These discoveries are published in the magazine of “symmetry”.

Professor Négadi uses a set of sequences similar to Fibonacci to study the symmetry of amino acids in the physiological environment in the physiological environment. Unlike previously considered amino acids, it is considered to be a neutral study. The study considers the amino acid state with a physiological pH value of about 7.4. In this state, some amino acids are charged, which will affect the symmetry in the genetic password.

The research focuses on several key symmetry, including the symmetry of Rumer, the third base symmetry and “ideal” symmetry, and the “ultra -symmetry” classification scheme. These symmetry are critical to understanding the structure and function of genetic passwords, especially related to how amino acids are encoded with genetic codons.

Professor Négadi explained: “Our Fibonacci sample sequence enables us to describe the hydrogen atom content in amino acids encoded by genetic passwords and significant accuracy of the atomic mode.” It also revealed the new model that had not been discovered before. These findings may be of great significance to understand the basic principles of genetics and molecular biology.

One of the most attractive aspects of this study is to apply these sequences to policate proline with unique chemical structures. Volidine is the only amino acid that combines two -time amino acid with the side chain, leading to two possible explanations of its structure. Professor Négadi discusses these two views and shows how these views are more suitable for the symmetry of genetic code.

The study also studied the multiple structures of genetic passwords, of which different amino acids were encoded by different numbers of codons. Using a sequence similar to Fibonacci, Professor Négadi can describe the exact degradation structure of the standard genetic password, and even apply this method to a non -standard version, such as a replacement yeast nuclear password.

Professor Négadi pointed out: “Our method can be clearly seen in the method of seamlessly integrated with existing knowledge in the complex relationship in genetic code.” This method can be used to study other non -standard genetic code, which may be possible Have a deeper understanding of how to encode and express genetic information in different organisms.

All in all, Professor Négadi’s research emphasizes the dominance of the genetic symmetry. Even if the amino acid is in the physiological state of charging, it also provides a new point of view of genetic code. He used Fibonati to provide a powerful tool for the complexity of decoding genetics, which opened up new ways for molecular biology research.

Journal reference

When amino acids are in a physiological environment, négadi, T. Fibonacci -like sequences also reveal the symmetry of genetic passwords. Symmetric, 2024, 16, 293. Doi: https: //doi.org/10.3390/sym16030293

About the author

Dr. Tidjaninégadi
Tidjaninégadi was born on January 26, 1950 in Tlemcen, Algeria. It is an outstanding MaîtRedeConférence. It is ORAN Ahmed Ben Bella, Ahmed Ben Beella, EXACT and Apply SCI. Department of physics. Négadi has a profound interest in theory and mathematics biology, especially in exploring the connection between physics and biological systems, especially for major contributions to various fields.
Négadi’s research interest is huge and interdisciplinary, focusing on mathematical modeling of biological systems, especially genetic passwords. He explored the use of genetic passwords, the use of Fiboncht and Lucas, and the application of quantum sample methods in biological systems. His work has brought about the gap between physics and biology, providing new insights for genetic information and its infrastructure.
Tidjaninégadi’s contribution to science has won several awards and honors enjoyed. He has served as a member of the Executive Committee and Consultant Committee of the International Symmetrical Association (ISA), as well as the neuromedic chemistry consulting and editing committee. As a well -known journal, he showed his leadership in the scientific community as a well -known journal.

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