The complexity found in the simplest bacterium known to science easily outclasses the complexity of any machine man has made. These following articles and videos make this point clear:
Three Subsets of Sequence Complexity and Their Relevance to Biopolymeric Information - David L. Abel and Jack T. Trevors - Theoretical Biology & Medical Modelling, Vol. 2, 11 August 2005, page 8
"No man-made program comes close to the technical brilliance of even Mycoplasmal genetic algorithms. Mycoplasmas are the simplest known organism with the smallest known genome, to date. How was its genome and other living organisms' genomes programmed?"
First-Ever Blueprint of 'Minimal Cell' Is More Complex Than Expected - Nov. 2009
Excerpt: A network of research groups,, approached the bacterium at three different levels. One team of scientists described M. pneumoniae's transcriptome, identifying all the RNA molecules, or transcripts, produced from its DNA, under various environmental conditions. Another defined all the metabolic reactions that occurred in it, collectively known as its metabolome, under the same conditions. A third team identified every multi-protein complex the bacterium produced, thus characterising its proteome organisation.
"At all three levels, we found M. pneumoniae was more complex than we expected,"
Simplest Microbes More Complex than Thought - Dec. 2009
Excerpt: PhysOrg reported that a species of Mycoplasma,, “The bacteria appeared to be assembled in a far more complex way than had been thought.” Many molecules were found to have multiple functions: for instance, some enzymes could catalyze unrelated reactions, and some proteins were involved in multiple protein complexes."
"The manuals needed for building the entire space shuttle and all its components and all its support systems would be truly enormous! Yet the specified complexity (information) of even the simplest form of life - a bacterium - is arguably as great as that of the space shuttle."
J.C. Sanford - Geneticist - Genetic Entropy and the Mystery Of the Genome
Ben Stein - EXPELLED - The Staggering Complexity Of The Cell - video
“Although the tiniest living things known to science, bacterial cells, are incredibly small (10^-12 grams), each is a veritable micro-miniaturized factory containing thousands of elegantly designed pieces of intricate molecular machinery, made up altogether of one hundred thousand million atoms, far more complicated than any machine built by man and absolutely without parallel in the non-living world”. Michael Denton PhD
Nanoelectronic Transistor Combined With Biological Machine Could Lead To Better Electronics: - Aug. 2009
Excerpt: While modern communication devices rely on electric fields and currents to carry the flow of information, biological systems are much more complex. They use an arsenal of membrane receptors, channels and pumps to control signal transduction that is unmatched by even the most powerful computers.
The Cell as a Collection of Protein Machines
"We have always underestimated cells. Undoubtedly we still do today,,, Indeed, the entire cell can be viewed as a factory that contains an elaborate network of interlocking assembly lines, each which is composed of a set of large protein machines."
Bruce Alberts: Former President, National Academy of Sciences;
The Cell - A World Of Complexity Darwin Never Dreamed Of - Donald E. Johnson - video
Bioinformatics: The Information in Life - Donald Johnson - video
On a slide in the preceding video, entitled 'Information Systems In Life', Dr. Johnson points out that:
* the genetic system is a pre-existing operating system;
* the specific genetic program (genome) is an application;
* the native language has codon-based encryption system;
* the codes are read by enzyme computers with their own operating system;
* each enzyme’s output is to another operating system in a ribosome;
* codes are decrypted and output to tRNA computers;
* each codon-specified amino acid is transported to a protein construction site; and
* in each cell, there are multiple operating systems, multiple programming languages, encoding/decoding hardware and software, specialized communications systems, error detection/correction systems, specialized input/output for organelle control and feedback, and a variety of specialized “devices” to accomplish the tasks of life.
Cells Are Like Robust Computational Systems, - June 2009
Excerpt: Gene regulatory networks in cell nuclei are similar to cloud computing networks, such as Google or Yahoo!, researchers report today in the online journal Molecular Systems Biology. The similarity is that each system keeps working despite the failure of individual components, whether they are master genes or computer processors. ,,,,"We now have reason to think of cells as robust computational devices, employing redundancy in the same way that enables large computing systems, such as Amazon, to keep operating despite the fact that servers routinely fail."
Systems biology: Untangling the protein web - July 2009
Excerpt: Vidal thinks that technological improvements — especially in nanotechnology, to generate more data, and microscopy, to explore interaction inside cells, along with increased computer power — are required to push systems biology forward. "Combine all this and you can start to think that maybe some of the information flow can be captured," he says. But when it comes to figuring out the best way to explore information flow in cells, Tyers jokes that it is like comparing different degrees of infinity. "The interesting point coming out of all these studies is how complex these systems are — the different feedback loops and how they cross-regulate each other and adapt to perturbations are only just becoming apparent," he says. "The simple pathway models are a gross oversimplification of what is actually happening."
Articles and Videos on Molecular Motors
"There are no detailed Darwinian accounts for the evolution of any fundamental biochemical or cellular system only a variety of wishful speculations. It is remarkable that Darwinism is accepted as a satisfactory explanation of such a vast subject."
James Shapiro - Molecular Biologist
An Atheist Interviews Michael Behe About "The Edge Of Evolution" - video
Mutation Studies, Videos, And Quotes
Stephen Meyer - Extreme Rarity Of Functional Proteins And Information For Body Plans - video
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 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")
Stephen Meyer - DNA - Complexity Of The Cell - Layered Information - video
Intelligent Design - The Anthropic Hypothesis