Researcher: Mathematics sheds light on “unfathomably complex” cellular thinking
| May 5, 2018 | Posted by News under Cell biology, Evolution, Intelligent Design, Plants |
From ScienceDaily:
Queensland University of Technology (QUT) researcher Dr Robyn Araujo has developed new mathematics to solve a longstanding mystery of how the incredibly complex biological networks within cells can adapt and reset themselves after exposure to a new stimulus.
…
“Proteins form unfathomably complex networks of chemical reactions that allow cells to communicate and to ‘think’ — essentially giving the cell a ‘cognitive’ ability, or a ‘brain’,” she said. “It has been a longstanding mystery in science how this cellular ‘brain’ works.
“We could never hope to measure the full complexity of cellular networks — the networks are simply too large and interconnected and their component proteins are too variable.
“But mathematics provides a tool that allows us to explore how these networks might be constructed in order to perform as they do.
“My research is giving us a new way to look at unravelling network complexity in nature.”
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“I studied all the possible ways a network can be constructed and found that to be capable of this perfect adaptation in a robust way, a network has to satisfy an extremely rigid set of mathematical principles. There are a surprisingly limited number of ways a network could be constructed to perform perfect adaptation.
“Essentially we are now discovering the needles in the haystack in terms of the network constructions that can actually exist in nature. Paper. (open access) – Robyn P. Araujo, Lance A. Liotta. The topological requirements for robust perfect adaptation in networks of any size. Nature Communications, 2018; 9 (1) DOI: 10.1038/s41467-018-04151-6 More.
Amazing how the plants, using these “unfathomably complex” networks (how long would that take to evolve, relying only on Darwinian evolution?) found their way to the right mathematical configuration. This sounds far more like structuralism (an underlying pattern, based on physics and chemistry, controls evolution) than Darwinism.
See also: A pattern of laws of tooth development identified
7 Responses to Researcher: Mathematics sheds light on “unfathomably complex” cellular thinking
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Very interesting post. Thanks.
Abstract
“simple and scalable modular design principles that promote robust performance no matter how large or complex the underlying networks become”
“design principles”?
of semi-related note:
At about the 41:00 minute mark of the following video, Dr. Wells, using a branch of mathematics called category theory, demonstrates that, during embryological development, information must somehow be added to the developing embryo, ‘from the outside’, by some ‘non-material’ method.
The following article further solidifies Dr. Wells claim:
Moreover, this, what can be termed, positional information, that is coming into the developing embryo,,
,,, which is not reducible to DNA sequences and which specifies the three-dimensional arrangement of the molecular components of the cell, is found to be enormous. Much greater than the sequential information, as great as that sequential information is, that is encoded on DNA.
In the following video, it is noted that the information to build a human infant, atom by atom, would take up the equivalent of enough thumb drives to fill the Titanic, multiplied by 2,000.
The following video states that “There are 10^28 atoms in the human body.,, The amount of data contained in the whole human,, is 3.02 x 10^32 gigabytes of information. Using a high bandwidth transfer, that data would take about 4.5 x 10^18 years to teleport 1 time. That is 350,000 times the age of the universe.”
To provide further evidence for information coming into the developing embryo ‘from the outside’, it is also important to note that quantum correlations somehow arise from outside spacetime, in the sense that no story in space and time can describe them,,,
And these quantum correlations which somehow arise from outside spacetime, are now found in molecular biology on a massive scale. In every DNA and Protein molecule,,,
The implication of finding ‘non-local’, beyond space and time, and ‘conserved’, quantum information in molecular biology on such a massive scale, is fairly, and pleasantly, obvious.
That pleasant implication, or course, being the fact that we now have direct physical evidence strongly indicating that we do indeed have an eternal soul that is capable of living beyond the death of our material bodies.
As Stuart Hameroff notes in this following video, “the quantum information,, isn’t destroyed. It can’t be destroyed.,,, it’s possible that this quantum information can exist outside the body. Perhaps indefinitely as a soul.”
Verses:
Psalm 139:13 New International Version (NIV)
For you created my inmost being;
you knit me together in my mother’s womb.
Life must have evolved, otherwise there is a God we have to obey. If rapid change is now part of evolution, i.e. punctuated evolution, then complexity must have evolved. There are lots of random chemical reactions. And besides, you can’t explain why a perfectly good and loving god would create the suffering we see in the world.
OLV @ 2:
Hmmm, sounds incredibly wrong. “RPA”, as given here, sounds like a magical convergence of engineering paradigms. Guess I have to read the paper and figure it out.
Well, so far so good. RPA is a robust biological feature. Interesting algebraic/topological approach to modeling cellular function.
It seems the evolution speak is lip service paid at beginning and end. SOP. The paper approaches function rather than structure, so the “modularity” they speak of isn’t in actual biological components, but in the function mappings in their model.
So it doesn’t make biological physical structure/components arbitrarily and readily scalable for free so much as refer to the scalability of the design principles applied.
Answering early because I expect this post to whiz by, but I’m still digging through this.