Intelligent Design

The Dark Proteome and Dark Evolution

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A new PNAS paperpublished last week on the dark proteome has some interesting implications for the theory of evolution. The paper presents a survey of protein sequences, focusing on the many sequences for which the corresponding three dimensional protein structure is not known, and cannot be inferred from any remotely similar sequence. Why is this so-called “dark proteome” is so large? The survey finds that the various hypotheses to explain this—that the dark proteins are intrinsically disordered, or their sequences are compositionally biased, or they are transmembrane proteins, all reasons that can confound structure determination—don’t work very well. The paper concludes that “a surprisingly large fraction of dark proteins … cannot be easily accounted for by these conventional explanations.” And not surprisingly, these dark proteins are less common across the species. So where did all these dark protein sequences come from? Well evolution did it. As the paper explains … read more

2 Replies to “The Dark Proteome and Dark Evolution

  1. 1
    bornagain says:

    Here is the pdf

    Unexpected features of the dark proteome – Oct. 2015
    Excerpt: Nearly half of the dark proteome comprised dark proteins, in which the entire sequence lacked similarity to any known structure. Dark proteins fulfill a wide variety of functions,,,
    We deliberately chose this stringent definition of “darkness,” so we can be confident that the dark proteome has completely unknown structure.,,,
    ,,,in eukaryotes and viruses, about half (44–54%) of the proteome was dark (Fig. 1B). Of the total dark proteome, nearly half (34–52%) comprised dark proteins.
    We repeated the above analysis using an even more stringent definition for darkness—combining PMP (2) and Aquaria (SI Methods) — but this had little effect (Fig. S1).,,,
    Lower Evolutionary Reuse.
    For each protein, we calculated how frequently any part of its sequence has been reused across all other known proteins (SI Methods). Dark proteins were reused much less frequently than nondark proteins (Fig. 4 C and Fig. S8), suggesting that dark proteins may be newly evolved proteins or rare proteins adapted to specific functional niches. This result was partly expected, given how darkness was defined and given the progress of structural genomics in targeting large protein families with unknown structure (8). Low evolutionary reuse also partly explains why dark proteins have few known interactions (Fig. 4 B and Fig. S8), because many interactions are inferred by homology (33).
    http://www.pnas.org/content/ea.....2.full.pdf

    as to this comment from you Dr. Hunter:

    “Protein science, however, is clear that blind mutations cannot form real proteins this fast from scratch (or at all for that matter).”

    Here are a few notes in that regards:

    Yockey and a Calculator Versus Evolutionists – Cornelius Hunter PhD – September 25, 2015
    Excerpt: In a 1977 paper published in the Journal of Theoretical Biology, Hubert Yockey used information theory to evaluate the likelihood of the evolution of a relatively simple protein.,,,
    Yockey found that the probability of evolution finding the cytochrome c protein sequence is about one in 10^64. That is a one followed by 64 zeros—an astronomically large number. He concluded in the peer-reviewed paper that the belief that proteins appeared spontaneously “is based on faith.”
    Indeed, Yockey’s early findings are in line with, though a bit more conservative than, later findings. A 1990 study of a small, simple protein found that 10^63 attempts would be required for evolution to find the protein.
    A 2004 study found that 10^64 to 10^77 attempts are required, and a 2006 study concluded that 10^70 attempts would be required.
    These requirements dwarf the resources evolution has at its disposal. Even evolutionists have had to admit that evolution could only have a maximum of 10^43 such experiments. It is important to understand how tiny this number is compared to 10^70. 10^43 is not more than half of 10^70. It is not even close to half. 10^43 is an astronomically tiny sliver of 10^70.
    Furthermore, the estimate of 10^43 is, itself, entirely unrealistic. For instance, it assumes the entire history of the Earth is available, rather than the limited time window that evolution actually would have had.,,,
    http://darwins-god.blogspot.co.....ersus.html

    Evolution vs. Functional Protein Domains (“Mount Improbable”) – Doug Axe and Stephen Meyer – Video
    https://www.youtube.com/watch?v=7rgainpMXa8

    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.”
    http://bio-complexity.org/ojs/.....O-C.2010.1

    Quantum criticality in a wide range of important biomolecules
    Excerpt: “Most of the molecules taking part actively in biochemical processes are tuned exactly to the transition point and are critical conductors,” they say.
    That’s a discovery that is as important as it is unexpected. “These findings suggest an entirely new and universal mechanism of conductance in biology very different from the one used in electrical circuits.”
    The permutations of possible energy levels of biomolecules is huge so the possibility of finding even one that is in the quantum critical state by accident is mind-bogglingly small and, to all intents and purposes, impossible.,, of the order of 10^-50 of possible small biomolecules and even less for proteins,”,,,
    “what exactly is the advantage that criticality confers?”
    https://medium.com/the-physics-arxiv-blog/the-origin-of-life-and-the-hidden-role-of-quantum-criticality-ca4707924552

    Stability effects of mutations and protein evolvability. October 2009
    Excerpt: The accepted paradigm that proteins can tolerate nearly any amino acid substitution has been replaced by the view that the deleterious effects of mutations, and especially their tendency to undermine the thermodynamic and kinetic stability of protein, is a major constraint on protein evolvability,,
    http://www.ncbi.nlm.nih.gov/pubmed/19765975

    “Biologist Douglas Axe on Evolution’s (non) Ability to Produce New (Protein) Functions ” – video
    Quote: It turns out once you get above the number six [changes in amino acids] — and even at lower numbers actually — but once you get above the number six you can pretty decisively rule out an evolutionary transition because it would take far more time than there is on planet Earth and larger populations than there are on planet Earth.
    https://www.youtube.com/watch?v=8ZiLsXO-dYo

    Can Even One Polymer Become a Protein in 13 billion Years? – Dr. Douglas Axe, Biologic Institute – June 20, 2013 – audio
    http://radiomaria.us/discoveri.....institute/

    Creating Life in the Lab: How New Discoveries in Synthetic Biology Make a Case for the Creator – Fazale Rana
    Excerpt of Review: ‘Another interesting section of Creating Life in the Lab is one on artificial enzymes. Biological enzymes catalyze chemical reactions, often increasing the spontaneous reaction rate by a billion times or more. Scientists have set out to produce artificial enzymes that catalyze chemical reactions not used in biological organisms. Comparing the structure of biological enzymes, scientists used super-computers to calculate the sequences of amino acids in their enzymes that might catalyze the reaction they were interested in. After testing dozens of candidates,, the best ones were chosen and subjected to “in vitro evolution,” which increased the reaction rate up to 200-fold. Despite all this “intelligent design,” the artificial enzymes were 10,000 to 1,000,000,000 times less efficient than their biological counterparts. Dr. Rana asks the question, “is it reasonable to think that undirected evolutionary processes routinely accomplished this task?”
    – per Amazon

    Computer-designed proteins programmed to disarm variety of flu viruses – June 1, 2012
    Excerpt: The research efforts, akin to docking a space station but on a molecular level, are made possible by computers that can describe the landscapes of forces involved on the submicroscopic scale.,, These maps were used to reprogram the design to achieve a more precise interaction between the inhibitor protein and the virus molecule. It also enabled the scientists, they said, “to leapfrog over bottlenecks” to improve the activity of the binder.
    http://phys.org/news/2012-06-c.....ruses.html

  2. 2
    bornagain says:

    OT:

    Rocket Science in a Microbe Saves the Planet (Nitrogen Cycle) – Nov. 23, 2015
    Excerpt: “hydrazine synthase multiprotein complex.” Rocket fuel; imagine! No wonder the scientific community was surprised. The formula for hydrazine is N2H4. It’s commonly used to power thrusters on spacecraft, such as the Cassini Saturn orbiter and the New Horizons probe that went by Pluto recently. Obviously, the anammox bacteria must handle this highly reactive compound with great care. Here’s their overview of the reaction sequence.,,,
    http://www.evolutionnews.org/2.....01091.html

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