Intelligent Design

Peak Fallacy: Proteins Evolved Because They Evolved

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In spite of common sense and the scientific evidence, evolutionists have once again shown that evolution is a miracle worker. A new paper by evolutionists in the world’s leading journal argues that proteins evolved after all, despite just about every shred of evidence mandating otherwise. And just how did evolution do it again? It turns out proteins evolved because they evolved. If only I had thought of that—I could be an evolutionist too.  Read more

4 Replies to “Peak Fallacy: Proteins Evolved Because They Evolved

  1. 1
    bornagain77 says:

    Well, there is strong evidence against their tautology:

    Estimating the prevalence of protein sequences adopting functional enzyme folds: Doug Axe:
    Excerpt: The prevalence of low-level function in four such experiments indicates that roughly one in 10^64 signature-consistent sequences forms a working domain. Combined with the estimated prevalence of plausible hydropathic patterns (for any fold) and of relevant folds for particular functions, this implies the overall prevalence of sequences performing a specific function by any domain-sized fold may be as low as 1 in 10^77, adding to the body of evidence that functional folds require highly extraordinary sequences.

    Correcting Four Misconceptions about my 2004 Article in JMB — May 4th, 2011 by Douglas Axe

    ID Scientist Douglas Axe Responds to His Critics – June 2011 – Audio Podcast

    Doug Axe Knows His Work Better Than Steve Matheson
    Excerpt: Regardless of how the trials are performed, the answer ends up being at least half of the total number of password possibilities, which is the staggering figure of 10^77 (written out as 100, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000, 000). Armed with this calculation, you should be very confident in your skepticism, because a 1 in 10^77 chance of success is, for all practical purposes, no chance of success. My experimentally based estimate of the rarity of functional proteins produced that same figure, making these likewise apparently beyond the reach of chance.

    Evolution vs. Functional Proteins – Doug Axe – Video

    ,,,proteins have now been shown to have a ‘Cruise Control’ mechanism, which works to ‘self-correct’ the integrity of the protein structure from any random mutations imposed on them.

    Proteins with cruise control provide new perspective:
    “A mathematical analysis of the experiments showed that the proteins themselves acted to correct any imbalance imposed on them through artificial mutations and restored the chain to working order.”

    Cruise Control permeating the whole of the protein structure??? This is an absolutely fascinating discovery. The equations of calculus involved in achieving even a simple process control loop, such as a dynamic cruise control loop, are very complex. In fact it seems readily apparent to me that highly advanced mathematical information must reside along the entirety of the protein structure, in order to achieve such control. This fact gives us clear evidence that there is far more functional information residing in proteins than meets the eye. Moreover this ‘oneness’ of cruise control, within the protein structure, can only be achieved through quantum computation/entanglement principles, and is inexplicable to the reductive materialistic approach of neo-Darwinism! For a sample of the equations that must be dealt with, to ‘engineer’ even a simple process control loop like cruise control for a single protein, please see this following site:

    PID controller
    A proportional–integral–derivative controller (PID controller) is a generic control loop feedback mechanism (controller) widely used in industrial control systems. A PID controller attempts to correct the error between a measured process variable and a desired setpoint by calculating and then outputting a corrective action that can adjust the process accordingly and rapidly, to keep the error minimal.

    It is in realizing the staggering level of engineering that must be dealt with to achieve ‘cruise control’ for each individual protein that it becomes apparent even Axe’s 1 in 10^77 estimate for finding specific functional proteins within sequence space is far, far too generous. In fact since quantum entanglement falsified reductive materialism/local realism (Alain Aspect) then finding quantum entanglement/information to be ‘protein specific’ is absolutely shattering to any hope that materialists had in what slim probabilities there were, since a ‘transcendent’ cause must be supplied which is specific to each unique protein structure. Materialism is simply at a complete loss to supply such a transcendent cause!

    Though the authors of the paper tried to put a evolution friendly spin on the ‘cruise control’ evidence, finding a highly advanced ‘Process Control Loop’ at such a base molecular level, before natural selection even has a chance to select for any morphological novelty, is very much to be expected as a Intelligent Design/Genetic Entropy feature, and is in fact a very constraining thing to the amount of variation we can expect from any ‘kind’ of species in the first place.

    Minimal Complexity Relegates Life Origin Models To Fanciful Speculation – Nov. 2009
    Excerpt: Based on the structural requirements of enzyme activity Axe emphatically argued against a global-ascent model of the function landscape in which incremental improvements of an arbitrary starting sequence “lead to a globally optimal final sequence with reasonably high probability”. For a protein made from scratch in a prebiotic soup, the odds of finding such globally optimal solutions are infinitesimally small- somewhere between 1 in 10exp140 and 1 in 10exp164 for a 150 amino acid long sequence if we factor in the probabilities of forming peptide bonds and of incorporating only left handed amino acids.

    The Case Against a Darwinian Origin of Protein Folds – Douglas Axe – 2010
    Excerpt Pg. 11: “Based on analysis of the genomes of 447 bacterial species, the projected number of different domain structures per species averages 991. Comparing this to the number of pathways by which metabolic processes are carried out, which is around 263 for E. coli, provides a rough figure of three or four new domain folds being needed, on average, for every new metabolic pathway. In order to accomplish this successfully, an evolutionary search would need to be capable of locating sequences that amount to anything from one in 10^159 to one in 10^308 possibilities, something the neo-Darwinian model falls short of by a very wide margin.”

  2. 2
    bornagain77 says:


    The Case Against a Darwinian Origin of Protein Folds – Douglas Axe, Jay Richards – audio

    Signature In The Cell – Review
    Excerpt: Even if you grant the most generous assumptions: that every elementary particle in the observable universe is a chemical laboratory randomly splicing amino acids into proteins every Planck time for the entire history of the universe, there is a vanishingly small probability that even a single functionally folded protein of 150 amino acids would have been created.

    A Few Hundred Thousand Computers vs. A Single Protein Molecule – video

    Stephen Meyer – Functional Proteins And Information For Body Plans – video

  3. 3
    bornagain77 says:

    Oh, and this recent paper by Dr. Axe:

    The Evolutionary Accessibility of New Enzyme Functions: A Case Study from the Biotin Pathway – Ann K. Gauger and Douglas D. Axe – April 2011
    Excerpt: We infer from the mutants examined that successful functional conversion would in this case require seven or more nucleotide substitutions. But evolutionary innovations requiring that many changes would be extraordinarily rare, becoming probable only on timescales much longer than the age of life on earth.

    When Theory and Experiment Collide — April 16th, 2011 by Douglas Axe
    Excerpt: Based on our experimental observations and on calculations we made using a published population model [3], we estimated that Darwin’s mechanism would need a truly staggering amount of time—a trillion trillion years or more—to accomplish the seemingly subtle change in enzyme function that we studied.


    Even if evolution somehow managed to overcome these impossible hurdles for generating novel proteins by totally natural means, evolution would still face the monumental hurdles of generating complimentary protein/protein binding sites, in which the novel proteins would actually interact with each other in order to accomplish the specific tasks needed in a cell (it is estimated that there are least 10,000 different types of protein-protein binding sites in a ‘simple’ cell; Behe: Edge Of Evolution).

    What does the recent hard evidence say about novel protein-protein binding site generation?

    “The likelihood of developing two binding sites in a protein complex would be the square of the probability of developing one: a double CCC (chloroquine complexity cluster), 10^20 times 10^20, which is 10^40. There have likely been fewer than 10^40 cells in the entire world in the past 4 billion years, so the odds are against a single event of this variety (just 2 binding sites being generated by accident) in the history of life. It is biologically unreasonable.”
    Michael J. Behe PhD. (from page 146 of his book “Edge of Evolution”)

    Nature Paper,, Finds Darwinian Processes Lacking – Michael Behe – Oct. 2009
    Excerpt: Now, thanks to the work of Bridgham et al (2009), even such apparently minor switches in structure and function (of a protein to its supposed ancestral form) are shown to be quite problematic. It seems Darwinian processes can’t manage to do even as much as I had thought. (which was 1 in 10^40 for just 2 binding sites)

  4. 4
    Mung says:

    Now if the proteins were the cause of their own evolution, that would be worth a paper.

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