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11th Edition of International Conference on

Neurology and Neurological Disorders

June 05-07, 2025 | Rome, Italy

Neurology 2023

DNA process in fractal cells

Speaker at Neurology and Neurological Disorders 2023 - Kais Bouallegue
University of Sousse, Tunisia
Title : DNA process in fractal cells

Abstract:

Computational biology faces the challenge of modeling the complex dynamical processes that underlie cellular functions, which evolve and change depending on internal functional requirements and external environmental factors. To address this challenge, researchers have turned to theories of fractals and chaos, which have long been intertwined with dynamical systems. In this research paper, we propose a novel model that combines a fractal Julia process with numerical dynamical systems to solve topological problems in DNA processes.

The model includes a representation of chromosomes with and without link points, as well as various DNA processes, such as mitosis, meiosis, duplication, separation, division, and crossing over. The study identifies the position of the centromere and its impact on the form, behavior, and scale of the fractal cell. Additionally, this paper presents two examples of cell divisions with eight nuclei, illustrating both internal and external division. The research has significant implications for the understanding and treatment of genetic diseases, as well as potential applications in various fields of biology and medicine.

Figure 1: Model of chromosome with different position of centromeres                          

Figure 2: Chromosome with link points, Chromosome without centromere

The centromere, universally known as the primary constriction, is essential for chromosomal attachment to the spindle and for proper segregation. It serves as a link between sister chromatids until their dissociation at anaphase, after which each chromatid converges towards a steady state. At present, however, no previous analysis was done to investigate the numerical position of centromere and to identify its position.

Figure 3 shows the crossing over process (mitosis process)

Figure 4 contains two behavior of chromosomes, each chromosome has its position of centromere and without link points. We are combining between them fractal algorithm, we obtain fractal flower contains eight leafs.

Figure 5 shows result of implementation using chromosomes with link points

Figure 6: Combining of two chromosomes without link points

In next subsection, we present only results of implementation of fractal cell contains eight nucleus and its division in two cells.

Figure 7: Cell division in fractal cell

We give another results contains to meiosis process and cell division, in this result, we show the efficiency of our approach.

Audience Take Away

  • This paper has discovered the processes of the cell divisions of both mitosis and meiosis. All in all, the results show that this work could have a strong impact on the welfare of humanity and can be leveraged for the cure of genetic diseases 

Biography:

Kais Bouallegue studied electrical engineering at National Engineering School of Sfax, Tunisia.

He received his PhD Thesis that he has defended on 2010 His thesis entitled “Modeling and Chaotic control of nonlinear dynamic processes”.deals with modeling of nonlinear systems using fractal processes and chaotic systems.

Next, on 20l7 he has obtained the Accreditation to Supervise Research In Electrical Engineering, and then he has been promoted to an associate professor at the University of Sousse.

In his work, Dr. Kais Bouallegue proposed the novel fractal artificial neural cell to build new neural networks that can model complex systems and dynamics such as the meiosis in biological systems.

Dr. Bouallègue is the (co)author of more than twenty publications in several international journals and conferences. He has also actively participated in the organization of several international conferences and events. He has served a reviewer for technical papers. Also, he has mentored researchers at undergraduate and graduate levels. Moreover, He has been collaborating with many different international universities. His currently research interests include fractal, chaos, and neural networks in complex systems.

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