Molecular Biocoding of Insulin – Amino Acid Ser

The biologic role of any given protein in essential life processes, eg, insulin, depends on the positioning of its component amino acids, and is understood by the “positioning of letters forming words“. Each of these words has its biochemical base. If this base is expressed by corresponding discrete numbers, it can be seen that any given base has its own program, along with its own unique cybernetics and information characteristics.


Introduction
The biologic role of any given protein in essential life processes, eg, insulin, depends on the positioning of its component amino acids, and is understood by the "positioning of letters forming words". Each of these words has its biochemical base. If this base is expressed by corresponding discrete numbers, it can be seen that any given base has its own program, along with its own unique cybernetics and information characteristics.
Indeed, the sequencing of the molecule is determined not only by distin biochemical features, but also by cybernetic and information principles. For this reason, research in this field deals more with the quantitative rather than qualitative characteristcs of genetic information and its biochemical basis. For the purposes of this paper, specific physical and chemical factors have been selected in order to express the genetic information for insulin. Numerical values are them assigned to these factors, enabling them to be measured. In this way it is possible to determine oif a connection really exists between the quantitative ratios in the process of transfer of genetic information and the qualitative appearance of the insulin molecule. To select these factors, preference is given to classical physical and chemical parameters, including the number of atoms in the relevant amino acids, their analog values, the position in these amino acids in the peptide chain, and their frenquencies. There is a arge numbers of these parameters, and each of their gives important genetic information. Going through this process, it becomes clear that there is a mathematical relationship between quantitative ratios and the qualitative appearance of the biochemical "genetic processes" and that there is a measurement method that can be used to describe the biochemistry of insulin.

Methods
The biologic role of any given protein in essential life processes, eg, insulin, depends on the positioning of its component amino acids, and is understood by the "positioning of letters forming words". Each of these words has its biochemical base. If this base is expressed by corresponding discrete numbers, it can be seen that any given base has its own program, along with its own unique cybernetics and information characteristics. Indeed, the sequencing of the molecule is determined not only by distin biochemical features, but also by cybernetic and information principles. For this reason, research in this field deals more with the quantitative rather than qualitative characteristcs of genetic information and its biochemical basis. For the purposes of this paper, specific physical and chemical factors have been selected in order to express the genetic information for insulin. Numerical values are them assigned to these factors, enabling them to be measured. In this way it is possible to determine oif a connection really exists between the quantitative ratios in the process of transfer of genetic information and the qualitative appearance of the insulin molecule. To select these factors, preference is given to classical physical and chemical parameters, including the number of atoms in the relevant amino acids, their analog values, the position in these amino acids in the peptide chain, and their frenquencies. There is a arge numbers of these parameters, and each of their gives important genetic information. Going through this process, it becomes clear that there is a mathematical relationship between quantitative ratios and the qualitative appearance of the biochemical "genetic processes" and that there is a measurement method that can be used to describe the biochemistry of insulin.
Insulin can be represented by two different forms, ie, a discrete form and a sequential form. In the discrete form, a molecule of insulin is represented by a set of discrete codes or a multiple dimension vector. In the sequential form, an insulin molecule is represent by a series of amino acids according to the order of their position in the sequence lenght 51 AA. Therefore, the sequential form can naturally reflect all the information about the sequence order and lenght of an insulin molecule.
The key issue is whether we can develop a different discrete method of representing an insulin molecule that will allow accomodation of partial, if not all sequence order information? Because a protein sequence is usually represented by a series of amino acids should be assigned to these codes in order to optimally convert the sequence order information into a series of numbers for the discrete form representation?

Results
The matrix mechanism of Insulin, the evolution of biomacromolecules and, especially, the biochemical evolution of Insulin language, have been analyzed by the application of cybernetic methods, information theory and system theory, respectively. The primary structure of a molecule of Insulin ( Figure 1) is the exact specification of its atomic composition and the chemical bonds connecting those atoms.
Notes: Aforementioned aminoacids are positioned from number 1 to 306. Numbers 1, 2, 3, n... present the position of a certain aminoacid. This positioning is of the key importance for understanding of programmatic, cybernetic and information principles in this protein.
The scientific key for interpretation of bio chemical processes is the same for insulin and as well as for the other proteins and other sequences in biochemistry.
The first aminoacid in (Figure 2,3) example has 10 atoms, the second one 22, the third one 19, etc. They have exactly these numbers of atoms because there are many codes in the insulin molecule, analog codes, and other voded features. In fact, there is a cybernetic algorithm which it is "recorded" that the firs amino acid has to have 10 atoms, the second one 22, the third one 19, etc. The first amino acid has its own biochemistry, as does the second and the third, etc. The obvious conclusion is that there is a concrete relationship between quantitative ratios in the process of transfer of genetic information and qualitative appearance, ie, the characteristcs of the organism.

Algorithm
We shall now give some mathematical evidences that will prove that in the biochemistry of hemoglob in there really is programmatic and cybernetic algorithm in which it is "recorded", in the language of mathematics, how the molecule will be built and what will be the quantitative characteristics of the given genetic information.
Step 2 (Amino acids from 306 to 1) Within the digital pictures in biochemistry, the physical and chemical parameters are in a strict compliance with programmatic, cybernetic and information principles. Each bar in the protein chain       Figure 9: Schematic representation of the discret code (-)556.   (Table 1) we have found out that the protein code is based on a periodic law. This being the only to "read" the picture, the solution of the main problem (concering an arrangement where each amino acid takes only one, precisely determined position in the code), is quite manifest:

Atomic progression APb
The (Figure 4,5) contains an overview of all atomic progression APa and APb, amino acid Ser. The values show some of the quantitative characteristics of the molecule of insulin. Actually, they show that there is an exact mathematical balance between atomic progression.

Insulin should be"remodelled" into a periodic system
The molecule of insulin we can understand as words built from letters, i.e. aminoacids. The meaning of words is determined by positioning of letters. Each of these words has its biochemical base. If this base is expressed by corresponding discrete numbers, we find out that the base has its own program, cybernetic and information characteristics. In fact, we will find out that the sequencing of the molecule is conditioned and determined not only by biochemical, but out have shown that atomic progression are one of quantitative characteristics in biochemistry. Atomic progression is, actually, a discrete code that protects and guards genetic information coded in bio-chemical processes. This a recently discovered code, and more detailed knowledge on it is yet to be discovered. In a similar way we shall calculate bio codes of other unions of amino acids. Once we do   also by cybernetic and information principles.
Atomic progression model of insulin should, in fact, be "remodelled" into a periodic system.Schematic representation of the amino acid Ser and atomic progression we will shown in the (Figure 6-9).
In (Figure 6-9), the amino acids Ser atomic progression APa and APb as a result was given the discret codes 2820, 153, 268 and 556 th .
As we see, the insulin code is itself a unique structure of program, cybernetic and informational system and law. The research we carried   this, we will find out that all these unions of amino acids are connected by various bio codes, analogue codes as well as other quantitative features.
Atomic progression presented in previous (Figure 12-15) are calculated using the relationship between corresponding groups of those progressions. These are groups with different progression. There are different ways and methods of selecting these groups of progressions, which method is most efficient some We hope that  Figure 18: Schematic representation of the atomic progression (Odd rank).
science will determine which method ( Figure 19) is most efficient for this selection.
Biological specificum of proteins depends on the order of amino acids in t+heir molecules. If this order is changed, their biological specificum will change as well. The basic parameters that determine the change in the status of system of bio-synthesis matrix of macro molecules are the system entropy, volume of transferred information and degree of probability that the genetic information will be transferred in full. System means any group of objects (elements), their inter-relations (number of atoms, atomic number, atomic weight, covalent radius, molar rotation, electrical negativity, etc...), as well as the relations among its attributes. In this example we have analyzed only the number of atoms of the said amino acids. This number of atoms has been analyzed from one perspective only. A similar analyses can be done using some other parameters and observing these parameters from other perspectives. This creates the need for research of other cyber, information and system characteristics of biochemical basis of genetic processes of insulin. The results of that research will hopefully be published in the time to come.
The result of the research that we have carried out clearly shows that there is a matrix code in insulin. It also shows that the coding system within the amino acidic language gives a full information, not only for the amino acid "record", but also for its structure, configuration and its various shapes. In the following text we shall discuss the issue of the existence of the insulin code, and also the issue of coding of individual structural levels in this protein.
In the previous (Figure 17-20) we translated the physical and chemical parameters from the language of biochemistry into the digital language of programmatic, cybernetic and information principles. This we did by using the adequate mathematical algorithms. By using chemical-information procedures, we calculated the numerical value for the information content of molecules. What we got this way is the digital picture of the phenomenon of biochemistry. These digital pictures reveal to us a whole new dimension of this science. They reveal to us that the biochemical process is strictly conditioned and determined by programmatic, cybernetic and information principles.
From the previous (Figure 17 -20) we can see that this protein really has its quantitative characteristics. It can be concluded that there is a connection between quantitative characteristics in the process of transfer of genetic information and the qualitative appearance of given genetic processes.

Discussion
The results of our research show that the processes of sequencing the molecules are conditioned and arranged not only with chemical and biochemical lawfulness, but also with program, cybernetic and informational lawfulness too. At the first stage of our research we replaced nucleotides from the Amino Acid Code Matrix with numbers of the atoms and atomic numbers in those nucleotides. Translation of the biochemical language of these amino acids into a digital language may be very useful for developing new methods of predicting protein sub-cellular localization, membrane protein type, protein structure secondary prediction or any other protein attributes.
The success of human genome project has generated deluge of sequence information. The explosion of biological data has challenged scientists to accelerate the speed for their analysis. Nowadays, protein sequences are generally stored in the computer database system in the form of long character strings. It would act like a snail's pace for human beings to read these sequences with the naked eyes [22]. Also, it is very hard to extract any key features by directly reading these long character strings. However, if they can be converted to some signal process, many important features can be automatically manifested and easily studied by means of the existing tools of information theory [22]. The novel  approach as presented here may help improve this kind of situation.

Conclusionss and Perspectives
The process of sequencing in bio-macromolecules is conditioned and determined not only through biochemical, but also through cybernetic and information principles. The digital pictures of biochemistry provide us with cybernetic and information interpretation of the scientific facts. Now we have the exact scientific proofs that there is a genetic language that can be described by the theory of systems and cybernetics, and which functions in accordance with certain principles.

Disclosure
The author reports no conflict of interest in this research.