Language of Insulin Decoded (1)

Discret code 1128

Abstract:This paper discusses cyberinformation studies of the amino acid composition of insulin, in particular the identification of scientific terminology that could describe this phenomenon, ie, the suty of genetic information, as well as the relationship between the genetic language of proteins and theoretical aspect of this system and cybernetics. The result of this research show that there is a matrix code for insulin. It also shows that the coding system within the amino acidic language gives detailed information, not only on the amino acid „record“, but also on its structure, configuration and its various shapes. The issue of the existence of an insulin code and coding of the individual structural elements of this protein are discussed. Answers to the following questions are sought. Does the matrix mechanism for biosynthesis of this protein function within the law of the general theory of information systems, and what is the significance of this for understanding the genetic language of insulin? What is the essence of existence and functioning of this language?

Is the genetic information characterized only by biochemical, or also by cyberinformation principles? The potential effects of physical and chemical, as well as cybernetic and information ptinciples, on the biochemical basis of insulin are also investigated.This aper discusses new methods for developing genetic technologies, in particular more advanced digital technology based on programming, cybernetics, and informational laws and systems, and how this new technology could be useful in medicine, bioinformatics, genetics, biochemistry, and other natural sciences.

Keywords
Human Insulin, Insulin Model, Insulin code, Code 1128, Genetics Code, Amino acids

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

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 chains 1AI0.

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?

Expression of Insulin Code Matrix- 1AI0

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 is the exact specification of its atomic composition and the chemical bonds connecting those atoms.

Insulin Model

The structure 1AI0 has in total 12 chains: A,B,C,D,E,F,G,H,I,J,K,L.

1AI0:A

G	I	V	E	Q	C	C	T	S	I
10	22	19	19	20	14	14	17	14	22
1	2	3	4	5	6	7	8	9	10

C	S	L	Y	Q	L	E	N	Y	C	N
14	14	22	24	20	22	19	17	24	14	17
11	12	13	14	15	16	17	18	19	20	21

1AI0:B

F	V	N	Q	H	I	C	G	S	H	L	V	E	A	L
23	19	17	20	20	22	14	10	14	20	22	19	19	13	22
22	23	24	25	26	27	28	29	30	31	32	33	34	35	36

Y	L	V	C	G	E	R	G	F	I	Y	T	P	K	T
24	22	19	14	10	19	26	10	23	22	24	17	17	24	17
37	38	39	40	41	42	43	44	45	46	47	48	49	50	51

1AI0:C

G	I	V	E	Q	C	C	T	S	I
10	22	19	19	20	14	14	17	14	22
52	53	54	55	56	57	58	59	60	61

C	S	L	Y	Q	L	E	N	Y	C	N
14	14	22	24	20	22	19	17	24	14	17
62	63	64	65	66	67	68	69	70	71	72

1AI0:D

F	V	N	Q	H	I	C	G	S	H	L	V	E	A	L
23	19	17	20	20	22	14	10	14	20	22	19	19	13	22
73	74	75	76	77	78	79	80	81	82	83	84	85	86	87

Y	L	V	C	G	E	R	G	F	I	Y	T	P	K	T
24	22	19	14	10	19	26	10	23	22	24	17	17	24	17
88	89	90	91	92	93	94	95	96	97	98	99	100	101	102

1AI0:E

G	I	V	E	Q	C	C	T	S	I
10	22	19	19	20	14	14	17	14	22
103	104	105	106	107	108	109	110	111	112

C	S	L	Y	Q	L	E	N	Y	C	N
14	14	22	24	20	22	19	17	24	14	17
113	114	115	116	117	118	119	120	121	122	123

1AI0:F

F	V	N	Q	H	I	C	G	S	H	L	V	E	A	L
23	19	17	20	20	22	14	10	14	20	22	19	19	13	22
124	125	126	127	128	129	130	131	132	133	134	135	136	137	138

Y	L	V	C	G	E	R	G	F	I	Y	T	P	K	T
24	22	19	14	10	19	26	10	23	22	24	17	17	24	17
139	140	141	142	143	144	145	146	147	148	149	150	151	152	153

1AI0:G

G	I	V	E	Q	C	C	T	S	I
10	22	19	19	20	14	14	17	14	22
154	155	156	157	158	159	160	161	162	163

C	S	L	Y	Q	L	E	N	Y	C	N
14	14	22	24	20	22	19	17	24	14	17
164	165	166	167	168	169	170	171	172	173	174

1AI0:H

F	V	N	Q	H	I	C	G	S	H	L	V	E	A	L
23	19	17	20	20	22	14	10	14	20	22	19	19	13	22
175	176	177	178	179	180	181	182	183	184	185	186	187	188	189

Y	L	V	C	G	E	R	G	F	I	Y	T	P	K	T
24	22	19	14	10	19	26	10	23	22	24	17	17	24	17
190	191	192	193	194	195	196	197	198	199	200	201	202	203	204

1AI0:I

G	I	V	E	Q	C	C	T	S	I
10	22	19	19	20	14	14	17	14	22
205	206	207	208	209	210	211	212	213	214

C	S	L	Y	Q	L	E	N	Y	C	N
14	14	22	24	20	22	19	17	24	14	17
215	216	217	218	219	220	221	222	223	224	225

1AI0:J

F	V	N	Q	H	I	C	G	S	H	L	V	E	A	L
23	19	17	20	20	22	14	10	14	20	22	19	19	13	22
226	227	228	229	230	231	232	233	234	235	236	237	238	239	240

Y	L	V	C	G	E	R	G	F	I	Y	T	P	K	T
24	22	19	14	10	19	26	10	23	22	24	17	17	24	17
241	242	243	244	245	246	247	248	249	250	251	252	253	254	255

1AI0:K

G	I	V	E	Q	C	C	T	S	I
10	22	19	19	20	14	14	17	14	22
256	257	258	259	260	261	262	263	264	265

C	S	L	Y	Q	L	E	N	Y	C	N
14	14	22	24	20	22	19	17	24	14	17
266	267	268	269	270	271	272	273	274	275	276

1AI0:L

F	V	N	Q	H	I	C	G	S	H	L	V	E	A	L
23	19	17	20	20	22	14	10	14	20	22	19	19	13	22
277	278	279	280	281	282	283	284	285	286	287	288	289	290	291

Y	L	V	C	G	E	R	G	F	I	Y	T	P	K	T
24	22	19	14	10	19	26	10	23	22	24	17	17	24	17
292	293	294	295	296	297	298	299	300	301	302	303	304	305	306

Number of atoms

G	I	V	E	Q	C	T	S
240	528	456	456	360	504	306	252

L	Y	N	F	H	A	R	P	K
660	576	306	276	240	78	156	102	144

Figure 1. Group of chains A,B,C,D,E,F,G,H,I,J,K,L.

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 this 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.