One Believer’s Junk Is Another Believer’s Treasure; Quest for Predictive Scientific Theories on the Function of 'junkDNA'

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98.7% of the (human) DNA needs more than a national debate if it is 'junkDNA' or a treasure-chest of information. Predictive scientific theories can deliver more than dogmatic belief if they are experimentally testable. Prediction of on the Fugu has been supported by experimentation. Novel predictions, such as the 'Methylation Prediction' are laid bare to test.

October 17, 2005 -- Triggered by the hairline difference of 0.1% between the chimp and human “genes”, yet 4% difference in their "non-genes”, scientific theory on the "junkDNA" became “daily news”.

“Genes” amount only to 1.3% of the hereditary material in human. Thus, the "genetic" difference between human and chimp is a slim one in ten thousand, while the difference in “junkDNA” is forty times larger. Is it a matter of belief or of scientific theory weather the 98.7% of the human DNA is “junk” or “a goldmine”?

The national debate about Darwinism (D) contra Intelligent Design/Extraterrestrial Intelligence (ID/ET) see centers on the nature of predictive and thus refutable scientific theories.

Most Darwinists erroneously predicted that 98.7% of the DNA was devoid of function (“junk”), while the ID/ET theory correctly predicted some yet to be decoded function of junkDNA. Debate is obsolete on "existence" of theories, once there is at least one with refutable precitions(s).    The scientific challenge is already at its next stage, having stepped over the “existence question” and proceeded with the decoding junkDNA in order to understand its function.

FractoGene was based upon the concept, process and platform that genes and non-genes comprise fractal sets, determining the ensuing fractal hierarchies of complexity;

The first prediction of FractoGene was that the ancient fugu fish, with about one tenth of the amount of "junkDNA" compared to human, should show a specific brain cell (cerebellar Purkinje neuron) with a primitive arborization, hardly more than a stem; mathematically describable as a “fractal template”.

Experimental support of the "Fugu Prediction of FractoGene”, that there should be a mathematically expressible relation between non-gene and ensuing complexity on 28/08/2005 was accepted to publication in the peer-reviewed science journal “The Cerebellum” by the Taylor & Francis Group.

I now announce further predictions based on mathematical theory. The “Methylation Prediction of FractoGene”concerns methylation, one type of genomic event. The prediction is experimentally testable by current technologies such as microarrays and other available means.

The “Methylation Prediction by FractoGene” is, in a rather specific form (while an array of other, more powerful formulations are at hand), that: “A cell (including but not limited to that of the brain cell in which the 1st Prediction was found experimentally supported) should show bursts of methylation, effectively ‘silencing’ perused repetitive and self-similar sets of auxiliary information (‘PostGenes’) of the DNA, such bursts temporally corresponding from stem cell through embryogenesis and through life till death, with the emergence of fractal-like levels of complexity e.g. with the generations of stages of development (including but not limited to, brain cell branching, readily observable by neuromorphology), thereby revealing a new, theoretically sound and experimentally usable method of discovering linkage among specific ‘Genes’ and ‘PostGenes’”.

Further elaboration will be provided immediately in talks with interested parties and in the forthcoming BrowserBook "FractoGene ... decoding junkDNA in PostGenetics" by Dr. Pellionisz.

Predictions will be formulated further and disclosed along yet other aspects, as appropriate. If found experimentally supported also in this next step, FractoGene is expected to result in a method, technology and industry of "PostGene Discovery" beyond existing “Gene Discovery” in the present PostGenetics era of Genomics.

Dr. Andras J. Pellionisz
Silicon Valley, CA, USA

(408) 732-9319

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