Language of Insulin Decoded (3)

Example 2

	94 atoms						94 atoms
G	I	Q	I	Q	Q	I	G	G	G	I
10	22	20	22	20	20	22	10	10	10	22
1	2	5	10	15	25	27	29	41	44	46

	94 atoms						94 atoms
G	I	Q	I	Q	Q	I	G	G	G	I
10	22	20	22	20	20	22	10	10	10	22
52	53	56	61	66	76	78	80	92	95	97

	94 atoms						94 atoms
G	I	Q	I	Q	Q	I	G	G	G	I
10	22	20	22	20	20	22	10	10	10	22
103	104	107	112	117	127	129	131	143	146	148

	94 atoms						94 atoms
G	I	Q	I	Q	Q	I	G	G	G	I
10	22	20	22	20	20	22	10	10	10	22
154	155	158	163	168	178	180	182	194	197	199

	94 atoms						94 atoms
G	I	Q	I	Q	Q	I	G	G	G	I
10	22	20	22	20	20	22	10	10	10	22
205	206	209	214	219	229	231	233	245	248	250

	94 atoms						94 atoms
G	I	Q	I	Q	Q	I	G	G	G	I
10	22	20	22	20	20	22	10	10	10	22
256	257	260	265	270	280	282	284	296	299	301

(94 x 12) = 1128;

I,V,K

			188 atoms
I	V	I	V	I	V	V	I	K
22	19	22	19	22	19	19	22	24
2	3	10	23	27	33	39	46	50

				188 atoms
I	V	I	V	I	V	V	I	K
22	19	22	19	19	18	18	17	17
53	54	61	74	78	84	90	97	101

			188 atoms
I	V	I	V	I	V	V	I	K
22	19	22	19	22	19	19	22	24
104	105	112	125	129	135	141	148	152

				188 atoms
I	V	I	V	I	V	V	I	K
22	19	22	19	22	19	19	22	24
155	156	163	176	180	186	192	199	203

			188 atoms
I	V	I	V	I	V	V	I	K
22	19	22	19	22	19	19	22	24
206	207	214	227	231	237	243	250	254

				188 atoms
I	V	I	V	I	V	V	I	K
22	19	22	19	22	19	19	22	24
257	258	265	278	282	288	294	301	305

(188 x 6) = 1128;

V,F,H,R

			188 atoms
V	F	V	H	H	V	V	R	F
19	23	19	20	20	19	19	26	23
3	22	23	26	31	33	39	43	45

			188 atoms
V	F	V	H	H	V	V	R	F
19	23	19	20	20	19	19	26	23
54	73	74	77	82	84	90	94	96

			188 atoms
V	F	V	H	H	V	V	R	F
19	23	19	20	20	19	19	26	23
105	124	125	128	133	135	141	145	147

			188 atoms
V	F	V	H	H	V	V	R	F
19	23	19	20	20	19	19	26	23
156	175	176	179	184	186	192	196	198

			188 atoms
V	F	V	H	H	V	V	R	F
19	23	19	20	20	19	19	26	23
207	226	227	230	235	237	243	247	249

			188 atoms
V	F	V	H	H	V	V	R	F
19	23	19	20	20	19	19	26	23
258	277	278	281	286	288	294	298	300

(188 x 6) = 1128;

Y,N,P,K

			188 atoms
Y	N	Y	N	N	Y	Y	P	K
24	17	24	17	17	24	24	17	24
14	18	19	21	24	37	47	49	50

			188 atoms
Y	N	Y	N	N	Y	Y	P	K
24	17	24	17	17	24	24	17	24
65	69	70	72	75	88	98	100	101

			188 Atoms
Y	N	Y	N	N	Y	Y	P	K
24	17	24	17	17	24	24	17	24
116	120	121	123	126	139	149	151	152

			188 atoms
Y	N	Y	N	N	Y	Y	P	K
24	17	24	17	17	24	24	17	24
167	171	172	174	177	190	200	202	203

			188 Atoms
Y	N	Y	N	N	Y	Y	P	K
24	17	24	17	17	24	24	17	24
218	222	223	225	228	241	251	253	254

			188 atoms
Y	N	Y	N	N	Y	Y	P	K
24	17	24	17	17	24	24	17	24
269	273	274	276	279	292	302	304	305

(188 x 6) = 1128;

G,E,S,A,P

					188 atoms
G	E	S	S	E	G	S	E	A	G	E	G	P
10	19	14	14	19	10	14	19	13	10	19	10	17
1	4	9	12	17	29	30	34	35	41	42	44	49

					188 atoms
G	E	S	S	E	G	S	E	A	G	E	G	P
10	19	14	14	19	10	14	19	13	10	19	10	17
52	55	60	63	68	80	81	85	86	92	93	95	100

					188 atoms
G	E	S	S	E	G	S	E	A	G	E	G	P
10	19	14	14	19	10	14	19	13	10	19	10	17
103	106	111	114	119	131	132	136	137	143	144	146	151

					188 atoms
G	E	S	S	E	G	S	E	A	G	E	G	P
10	19	14	14	19	10	14	19	13	10	19	10	17
154	157	162	165	170	182	183	187	188	194	195	197	202

					188 atoms
G	E	S	S	E	G	S	E	A	G	E	G	P
10	19	14	14	19	10	14	19	13	10	19	10	17
205	208	213	216	221	233	234	238	239	245	246	248	253

					188 atoms
G	E	S	S	E	G	S	E	A	G	E	G	P
10	19	14	14	19	10	14	19	13	10	19	10	17
256	259	264	267	272	284	285	289	290	296	297	299	304

(188 x 6) = 1128;

G,I,S,L,H,A,R,P

(188 + 188) atoms;

G	I	S	I	S	L	L	H	I	G
10	22	14	22	14	22	22	20	22	10
1	2	9	10	12	13	16	26	27	29

S	H	L	A	L	L	G	R	G	I	P	Sum
14	20	22	13	22	22	10	26	10	22	17	376
30	31	32	35	36	38	41	43	44	46	49

(188 + 188) atoms;

G	I	S	I	S	L	L	H	I	G
10	22	14	22	14	22	22	20	22	10
52	53	60	61	63	64	67	77	78	80

S	H	L	A	L	L	G	R	G	I	P	Sum
14	20	22	13	22	22	10	26	10	22	17	376
81	82	83	86	87	89	92	94	95	97	100

G	I	S	I	S	L	.	.	I	P	Sum
10	22	14	22	14	22	.	.	22	17	376
103	104	111	112	114	115	.	.	148	151

etc.

(188 x 12) = (1128 + 1128);

Figure 3.Groups of aminoacids: (G,I,Q), (I,V,K), (V,F,H,R), (Y,N,P,K) and (G,E,S,A,P).

Notes: Each peptide chain can have the exact number of aminoacids necessary to meet the strictly determined mathematical conditioning. It can have as many atoms as necessary to meet the mathematical balance of the biochemical phenomenon at certain mathematical level, etc. The digital language of biochemistry has a countless number of codes and analogue codes, as well as other information content. These pictures enable us to realize the very essence of functioning of biochemical processes.

Discret code 1128 presented in Figure 3 are calculated using the relationship between corresponding groups of amino acids. These are groups with different numbers of amino acids. There are different ways and methods of selecting these groups of amino acids, which method is most efficient some We hope that science will determine which method is most efficient for this selection

In the previous examples 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 examples 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 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. Since the concept of Chou's pseudo amino acid composition was proposed ^1,2, there have been many efforts to try to use various digital numbers to represent the 20 native amino acids in order to better reflect the sequence-order effects through the vehicle of pseudo amino acid composition. Some investigators used complexity measure factor ³, some used the values derived from the cellular automata ^4-7, some used hydrophobic and/or hydrophilic values ^8-16, some were through Fourier transform ^17,18, and some used the physicochemical distance ¹⁹. It is going to be possible to use a completely new strategy of research in genetics in the future. However, close observation of all these relationships, which are the outcomes of periodic laws (more specifically the law of binary coding), stereo-chemical and digital structure of proteins.