It is easily demonstrated mathematically that the entire universe does not even begin to come close to being old enough, nor large enough, to ally generate just one small but precisely sequenced 100 amino acid protein (out of the over one million interdependent protein molecules of longer sequences that would be required to match the sequences of their particular protein types) in that very first living bacteria. If any combinations of the 20 L-amino acids that are used in constructing proteins are equally possible, then there are (20^100) =1.3 x 10^130 possible amino acid sequences in proteins being composed of 100 amino acids. This impossibility, of finding even one required specifically sequenced protein, would still be true even if amino acids had a tendency to chemically bond with each other, which they don't despite over fifty years of experimentation trying to get amino acids to bond naturally (The odds of a single 100 amino acid protein overcoming the impossibilities of chemical bonding and forming spontaneously have been calculated at less than 1 in 10^125 (Meyer, Evidence for Design, pg. 75)). The staggering impossibility found for the universe ever generating a required specifically sequenced 100 amino acid protein by ac^ci^dent would still be true even if we allowed that the entire universe, all 10^80 sub-atomic particles of it, were nothing but groups of 100 freely bonding amino acids, and we then tried a trillion unique combinations per second for all those 100 amino acid groups for 100 billion years! Even after 100 billion years of trying a trillion unique combinations per second, we still would have made only one billion, trillionth of the entire total combinations possible for a 100 amino acid protein during that 100 billion years of trying! Even a child knows you cannot put any piece of a puzzle anywhere in a puzzle. You must have the required piece in the required place! The simplest forms of life ever found on earth are exceedingly far more complicated jigsaw puzzles than any of the puzzles man has ever made. Yet to believe a naturalistic theory we would have to believe that this tremendously complex puzzle of millions of precisely shaped, and placed, protein molecules just happened to overcome the impossible hurdles of chemical bonding and probability and put itself together into the sheer wonder of immense complexity that we find in the cell.
Instead of us just looking at the probability of a single protein molecule occurring (a solar system full of blind men solving the Rubik's Cube simultaneously), let's also look at the complexity that goes into crafting the shape of just one protein molecule. Complexity will give us a better indication if a protein molecule is, indeed, the handi-work of an infinitely powerful Creator.
In the year 2000 IBM announced the development of a new super-computer, called Blue Gene, that is 500 times faster than any supercomputer built up until that time. It took 4-5 years to build. Blue Gene stands about six feet high, and occupies a floor space of 40 feet by 40 feet. It cost $100 million to build. It was built specifically to better enable computer simulations of molecular biology. The computer performs one quadrillion (one million billion) computations per second. Despite its speed, it is estimated it will take one entire year for it to analyze the mechanism by which JUST ONE simple protein will fold onto itself from its one-dimensional starting point to its final three-dimensional shape.
"Blue Gene's final product, due in four or five years, will be able to "fold" a protein made of 300 amino acids, but that job will take an entire year of full-time computing." Paul Horn, senior vice president of IBM research, September 21, 2000
http://www.news.com/2100-1001-233954.html
In real life, the protein folds into its final shape in a fraction of a second! The computer would have to operate at least 33 million times faster to accomplish what the protein does in a fraction of a second. That is the complexity found for JUST ONE simple protein.
"It is estimated, based on the total number of known life forms on Earth, that there are some 50 billion different types of proteins in existence today, and it is possible that the protein universe could hold many trillions more." Lynn Yarris Science@berkeleylab March 31, 2005
A New Guide to Exploring the Protein Universe
http://www.lbl.gov/Science-Articles/Archive/sabl/2005/March/02-protein-universe.html
The simplest bacterium known to man has millions of protein molecules divided into, at bare minimum, several hundred distinct proteins types.
"An earlier study published in 1999 estimated the minimal gene set to fall between 265 and 350. A recent study making use of a more rigorous methodology estimated the essential number of genes at 382." (note; a specific gene codes for a specific protein type)
John I. Glass et al., "Essential Genes of a Minimal Bacterium," Proceedings of the National Academy of Sciences, USA103 (2006): 425-30.
These millions of precisely shaped protein molecules are interwoven into the final structure of the bacterium. Numerous times specific proteins in a distinct protein type will have very specific modifications to a few of the amino acids, in their sequence, in order for them to more precisely accomplish their specific function or functions in the overall parent structure of their protein type. To think naturalists can account for such complexity by saying it happened by chance should be the very definition of absurd we find in dictionaries. Naturalists have absolutely no answers for how this complexity arose in the first living cell unless, of course, you can take their imagination as hard evidence. Yet the real evidence scientists have found overwhelmingly supports the Theistic based anthropic hypothesis once again. It should be remembered that naturalism postulated a very simple "first cell". Yet the simplest cell scientists have been able to find, or to even realistically theorize about, is vastly more complex than any machine man has ever made through concerted effort !! What makes matters much worse for naturalists is that naturalists try to assert that proteins of one function can easily mutate into other proteins of completely different functions by pure chance. Yet once again the empirical evidence we now have betrays the naturalists. Individual proteins have been experimentally proven to quickly lose their function in the cell with random point mutations. What are the odds of any functional protein in a cell mutating into any other functional folded protein, of very questionable value, by pure chance?
"From actual experimental results it can easily be calculated that the odds of finding a folded protein (by random point mutations to an existing protein) are about 1 in 10 to the 65 power (Sauer, MIT). To put this fantastic number in perspective imagine that someone hid a grain of sand, marked with a tiny 'X', somewhere in the Sahara Desert. After wandering blindfolded for several years in the desert you reach down, pick up a grain of sand, take off your blindfold, and find it has a tiny 'X'. Suspicious, you give the grain of sand to someone to hide again, again you wander blindfolded into the desert, bend down, and the grain you pick up again has an 'X'. A third time you repeat this action and a third time you find the marked grain. The odds of finding that marked grain of sand in the Sahara Desert three times in a row are about the same as finding one new functional protein structure (from chance transmutation of an existing functional protein structure). Rather than accept the result as a lucky coincidence, most people would be certain that the game had been fixed.
Michael J. Behe, The Weekly Standard, June 7, 1999, Experimental Support for Regarding Functional Classes of Proteins to be Highly Isolated from Each Other:
As well...
Biophysicist Hubert Yockey determined that natural selection would have to explore 1.40 x 10^70 different genetic codes to discover the optimal universal genetic code that is found in nature. The maximum amount of time available for it to originate is 6.3 x 10^15 seconds. Natural selection would have to evaluate roughly 10^55 codes per second to find the one that is optimal. Put simply, natural selection lacks the time necessary to find the optimal universal genetic code we find in nature. (Gitt, In The Beginning was Information; Rana, The Cells design page 177)
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