Chaos And Self-organization In Electronic Cell

The Electronic Cell is an application of life sciences, physics, computational chemistry,informational science and many other fields of knowledge, to construct a precisemathematical calculation model in the computer virtual reality of cellular activities, which isbased on the molecular level, such as: energy transfer, material exchange, gene transfer and soon. Electronic Cell has been around for more than a decade, and it has made a positivecontribution for disease research, scientific research and drug development.Chaos theory and self-organizing system was born in the study of nonlinear dynamicsystem, is considered to be understanding of the effective theory of complex system andspatial modeling, in this time, Chaos theory is widely used in physics, life sciences, chemicaland other related fields. Chaos and self-organization has been recognized as widespread innature. Chaotic phenomena offer the world with randomness, and self-organizationphenomena constitute the order world, created all things and even the origin of life. The livingcell is a typical nonlinear dynamic system, including the characteristics of hundreds ofmillions of molecules, hundreds of biochemical reactions, energy metabolism, and fluidpower. Simulation of Electronic Cell need to be in an approximate real-world system, in thisway, the chaos is an important aspect in the simulation. Meanwhile, self-organization is a keypart of the artificial life, using the assembly of macromolecular to simulate splicing process,cell growth, reproduction and other life activities. Therefore, to simulate a living cell incomputer, we both need to simulate the chaos and the self-organization.In this article we describe the history of the birth and development of chaos theory, andthe a brief overview of chaos theory, in order enhance understanding of chaotic phenomena,we take several examples of typical chaotic phenomena exist in the real world. Afterdescribing several well-known in chaotic map system, we propose an algorithm of combiningthe Logistic chaotic map and linear congruential pseudorandom number generator (LCG) toproduce a longer period with better randomness PRNG. Apply the new PRNG in Analog-Cellcan provide superior uniform probability distribution of random series. At the end of thesecond chapter, we also explored the use of the central limit theorem to generate effectivelynon-uniform probability distribution of random numbers, as well as non-uniform probabilityof random values in the Electronic Cell. In the third chapter, we first probe the origin of self-organization theory and therelevance to the artificial life, then we talk about how to make self-organizing phenomenonthrough the development of reaction rules to simulate a living cell in computer system. In thispaper, all the work is based on Analog-Cell, which is researched and developed independentlyby Jilin University. In the chapter, we propose an algorithm to simulate the process ofpre-mRNA splicing. The algorithms have the choice of the intron from the gene chain and thefragment of exon to form mature mRNA. The experiments show self-organization method hasa high degree of realistic simulation of cellular activities.In the end of this paper, we compared the Analog-Cell with some other internationallyrenowned Electronic Cells, to find the strengths and the weakness, and to propose the nextwork step.