What is the hidden message inside human DNA seequences? More specificly, the relationship between the braiding of the double helix to a person's emotions?

  • $\begingroup$ Because of genetic algorithms simulating the process of life exhibiting successive improvements in DNA information, this question is entirely within the domain of AI. It should not be closed. $\endgroup$ – FauChristian Dec 11 '18 at 20:45
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    $\begingroup$ Apologies. I have to close the question for being off-topic in its current form. (Feel free to revise and submit for reopening, but you need to relate more clearly it to computer code/instructions and human cognition. Emotions may be said to influence decision-making, and can be on topic, but the question "does the double helix relate to human emotions?" is a Biology question.) $\endgroup$ – DukeZhou Dec 12 '18 at 1:48
  • $\begingroup$ @Douglas the recommendation of DukeZhou to revise and submit for reopening is for the original poster of the question, to clarify on exactly what they meant to ask / see if after clarification it is better suited for AI. It is not an open invitation to every visitor of the site to simply change the question into something they'd like to see. If you want to ask a question, you should post it as a new question rather than editing a somewhat-related closed question and transforming it into the question you'd like to ask. $\endgroup$ – Dennis Soemers Dec 12 '18 at 8:38
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    $\begingroup$ @DouglasDaseeco Yes, but the guidelines for editing (ai.stackexchange.com/help/editing) tell you that you should not change the meaning of the post. You clearly do. The original question was very specifically asking about the relationship between braiding of double helix and a person's emotions. Your edit is completely changing this, completely removing what was originally asked and adding completely new stuff instead (which does make it more on-topic, but changes the original question way too much). Like I said, ask it as a new question instead if you want. $\endgroup$ – Dennis Soemers Dec 12 '18 at 8:56
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    $\begingroup$ @Douglas Unfortunately, this is one that really needs clarification from the OP in terms of what they were actually asking about, and, whether it is indeed on topic (as opposed to a biology question.) My advice would be to ask a new question on DNA in regard to AI, as opposed to trying to salvage this question without input from the OP. $\endgroup$ – DukeZhou Dec 12 '18 at 22:14


It has been used once to make a 4-ary arithmetic system, followed by a very simple computer (MAYA-II) that excels at tic-tac-toe.

But it's not a programming language.  It's not even actually an arithmetic system (although it can be used to symbolically create one).  It's not a program.  It's more like a blueprint, where the positions of the codes represent where to stick amino acids together to form proteins.  The proteins are molecular machines that perform single tasks.


Deoxyribonucleic acid (DNA) is a class of molecules that contain sequences of pairs of either cytosine with guanine or adenine with thymine. The sequence of C-G and A-T pairs are bits that, when combined with other bits can be expressed to create proteins under specific conditions. That this information is used to organize the organism. Under specific conditions, the information in DNA is used to guide the growth of abilities to acquire, ingest, digest, and absorb resources needed for operation and excrete substance that interferes with operation.

More important to AI is the ability for the information to be conditionally passed to offspring with minor modifications that may or may not properly organize the offspring to sustain operations. That clearly classifies the DNA system as an adaptive information system.

The understanding of modern science, based on archeological and biological evidence is that DNA existed as a decentralized storage mechanism for the biosphere long before brains emerged in animals, which emerged long before artificial information systems. This sequence is the product of the combination of scientific theory that is strongly supported by the evidence.

  • An unknown genetic algorithm formed at an unknown time and place under unknown specific conditions.

  • The algorithm, not by self-improvement but presumably by trial and error, adapted to its environment and stored its adaptations in C-G versus A-T sequences, contained inside a bounded structure called a prokaryotic cell.

  • Single celled organisms colluded symbiotically to develop additional protection of the C-G versus A-T sequences, eventually creating eukaryotic cells grouped to form larger organisms.

  • Neurons formed to provide larger organisms with internal electrical communication, much faster than chemical communication, which is constrained by the flow rates of fluids.

  • Neural communication developed control centers which extended the C-G versus A-T system to allow adaptation within a single organism's period between birth and reproduction.

  • Brains developed language and other aspects of cognition to the point where the brains could study the environment and itself and replicate aspects of what it studies.

  • Brains, supported by the organism and relying on symbiotic information sharing between organisms began to study brains and replicate aspects of that study.

This is the sequence that describes the widely accepted current scientific theory of the history of information use in the biosphere: pre-bacteria, ancient bacteria, ancient algae and multi-cellular organisms, neurons, brains, literacy, AI.

In the big picture, computer science and technology is a mentally compelling byproduct of literacy and AI, providing humans with resolutions to many troubles and risks and also posing some new troubles and risks. It is believed that the advantages outweigh the disadvantages, so it proceeds forward.

The messages inside DNA sequences are the highly sophisticated results of billions of years of training in how to operate in the biosphere. That information emerged from the collective effect of DNA on organisms operating within it. In that respect, the genetic information is parametric, but the information processes involved could be millions of times more sophisticated than current algorithms in computers.

  • Run time machinery of the cells that determine when parameters will be expressed in protein generation

  • The passage of information during reproduction and the merging of it when the reproduction is sexual

  • The information itself which is finely tuned so the organism can operate well in the biosphere

  • Continued emergence of new and improved organism adaptability over longer periods of time

Because DNA is a class of molecules and the sequence of C-G versus A-T pairs is distinguishable between organisms, DNA is a language. One cell's DNA sequence is code in that language.


DNA is not a programming language, it’s the program. And it’s a program to create amino acids and proteins. That program is “written” in “quaternary code”

  • $\begingroup$ The assumption is, that the DNA is a fixed program. But self-modifying quarternary structures, made of the nucleobases A,C,G and T, are not very uncommon in reality. So the answer is wrong. $\endgroup$ – Manuel Rodriguez Dec 10 '18 at 15:58

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