Biocomputer function of DNA

The basis for the proposed idea of establishing DNA-wave bio-computer, that will use the memory cells made up with genetic molecules, based on experimental and theoretical work implemented by the authors, in which:
(a)The ability of DNA to be a true laser source is proven
(b)The ability of DNA to generate soliton waves acting as memorys, is proven
(c)The phenomenon of converting localized photons in radio waves, is discovered
(d)The phenomenon of DNA spectral memorization by localized photons, is discovered
(e)is discovered the genetic information transfer phénomenon, in the electromagnetic field polarizing modulations, when the photons to radio waves conversion happens.
Based on this data, the wave theory of genes is build up, in which a the genetic information dualistic interpretation as the unity of material and wave chromosomes encoding functions is proposed. Also is proposed the hypothesis of the genome quantum nonlocality of higher organisms. A set of obtained results allows authors to suggest, that artificial DNA-computing can not be fully implemented, without taking account of the genetic apparatus properties . The key structure of DNA-wave computer will be the phenomenon of DNA memory on solitons and localised photons with elements of quantum nonlocality of such a memory. The genetic information from viewpoint of the wave genes theory in 1985 years. one of the authors has detected unusual vibrational modes of DNA, ribosomes and collagen, in vitro, by using a method of dynamic laser light scattering. Recently this has been confirmed by us , In addition, the phenomenon of laser light to radio waves transformation has been discovered [27, 28]. This transformation is, probably related to, the effect of quantum nonlocality, and it memorises thanks to a method developed by us. There are some reasons to believe, that the higher biosystems genetic apparatus has the ability to be quantumly non-local . This enables the cells, the tissues, and the full organism, to be in a coherent state excess . These results, once again,, but at a higher level, confirm our theory of wave genes [29, 30, 46]. Its key position is that, the chromosome apparatus of biosystems is acting simultaneously as a source and a receiver of geno-iconic laser, solitons and holographic fields. In addition, the multicellular organisms chromosome continuum is in some semblance of static-dynamic spatial-temporal multiplex holographic grid, in which the organism's time-space is cocooned. But these are not the genetics structures coding capacities limits . Nucleotide sequence of DNA, constituting the holographic and/or quasi-holographic grids, do shape else text speech-like structures, that substantially changes our understanding of the genetic code. Evolution of biosystems has created genetic «texts» and the genome-biocomputer as quasi-a intelligent «subject», which at his level, «reads and understands» these texts. It is extremely important for the support of this basic «reasonableness» of the genome, that natural (no matter in which language) human texts and genetic «texts» have similar mathematical-linguistic and further entropy-statistical characteristics. This applies, in particular, to such a notion as the fractality of the occurrence distribution of the letters density frequencies, in natural and genetic texts (for genetic «texts», letters are nucleotides) [1]. Below you will find our results about the similarity of such fractals for genetic and natural texts. Another confirmation of the genome code function linguistic interpretation was unveiled by American researchers [31]. Working with «coding» and «not coding» Eukaryotic DNA sequences (from the old notions of genes viewpoint), the authors concluded, a contrary to dogma result, about how, that iconic functions where located only in DNA protein encrypting sequences sites . They applied a method of statistical analysis of natural and musical texts, known as the law Tzipfa-Mandelbrot, and the Shannon principle of information text redundancy , calculated as the entropy of texts. As a result, that not coding regions of DNA are more similar to natural languages, than coding, and that, Perhaps, no coding sequence of genetic molecules are the basis for a (or more) biological language. The authors have developed a statistical algorithm to find coding DNA sequences, which revealed, that protein-coding areas have significantly lower long-ranged-ranged compared with zones, separating these areas. The distribution of DNA sequences has proved so complex, the methods used to stop an effective work at the lengths, greater than 103 base pairs. Zipf distribution-Mandelbrot to occurrence "word frequency" with the number of nucleotides 3 to 8 show more matching non-coding sequences of natural language as compared to encoding.
Once again, What encoding the authors understand how to record information about the amino acid sequence, and only. And this paradox, which forced them to, that not coding regions of DNA is not just "junk" ("trash"), and structure, for some goals with unclear until the appointment. Long-range correlations in these structures are also authors, Although an increasing complexity does not encode sequences in the evolution of Biosystems. This data is fully consistent with our ideas on how to, that not coding DNA sequences (and that 95% -99% of the genome) are the strategic content of the chromosomes. It has a, as we see it, the wave-nature of material, It is multidimensional and is, in essence, as the associative-shaped and lingvistiko-wave program embryogenesis, Semantic and logical end any Biosystems. Instinctively realizing this, authors with a nostalgic sadness to say goodbye to the old and well which served as the model for the genetic code, not offering, the truth, Nothing in return.