That’s what some experts say:
Despite the need for new analytical tools, a number of biologists said that the computational infrastructure continues to be underfunded. “Often in biology, a lot of money goes into generating data but a much smaller amount goes to analyzing it,” said Nathan Price, associate director of the Institute for Systems Biology in Seattle. While physicists have free access to university-sponsored supercomputers, most biologists don’t have the right training to use them. Even if they did, the existing computers aren’t optimized for biological problems. “Very frequently, national-scale supercomputers, especially those set up for physics workflows, are not useful for life sciences,” said Rob Knight, a microbiologist at the University of Colorado Boulder and the Howard Hughes Medical Institute involved in both the Earth Microbiome Project and the Human Microbiome Project. “Increased funding for infrastructure would be a huge benefit to the field.”
as to:
nor, to model biology realistically, will computers ever be:
Also of note, Quantum entanglement is found in DNA on a massive scale:
And this quantum entanglement is implicated in quantum computation:
Here is a clear example of ‘quantum computation’ in the cell:
Of note: DNA repair machines ‘Fixing every pothole in America before the next rush hour’ is analogous to the traveling salesman problem. The traveling salesman problem is a NP-hard (read: very hard) problem in computer science; The problem involves finding the shortest possible route between cities, visiting each city only once. ‘Traveling salesman problems’ are notorious for keeping supercomputers busy for days.
Since it is obvious that there is not a material CPU (central processing unit) in the DNA, or cell, busily computing answers to this monster logistic problem, in a purely ‘material’ fashion, by crunching bits, then it is readily apparent that this monster ‘traveling salesman problem’, for DNA repair, is somehow being computed by ‘non-local’ quantum computation within the cell and/or within DNA;
Moreover, even though quantum computation is implicated in biology on a massive scale, scientists are having a extremely difficult time achieving even the first tiny steps of quantum computation in machines, even though the payoff, and investment, is huge!;
Also of interest is that the integrated coding between the DNA, RNA and Proteins of the cell apparently seems to be ingeniously programmed along the very stringent guidelines laid out by Landauer’s principle, by Charles Bennett from IBM of Quantum Teleportation fame, for ‘reversible computation’ in order to achieve such amazing energy efficiency.
The amazing energy efficiency possible with ‘reversible computation’ has been known about since Charles Bennett laid out the principles for such reversible programming in 1973, but as far as I know, due to the extreme level of complexity involved in achieving such ingenious ‘reversible coding’, has yet to be accomplished in any meaningful way for our computer programs even to this day:
A prediction of creationism would be evolutionism doesn’t make biology origins plausible.
Maybe evolutionary biologists would best avoid super computers.