Artificial evolution improves proteins

Interesting result reported from Arizona State University. Scientist at ASU have used artificial mutations on existing proteins that bind ATP (the body's energy source) and rapidly selected the results. Rinse and repeat increase selection so you see the best at "survival of the fittest". This way they improve on nature's natural rate of mutation and selection.

In no time, they found a protein that is extremelly stable and binds ATP twice as much as the natural one. Interesting...

Even more interesting is that they start thinking they can probably do this for any protein in the human body, today. So they could find better ways to speed metabolism, transport oxygen, increase mental capacities by just tuning existing proteins.

The 10 million dollar question becomes: how do you bring those protein blueprints back in your body? You are talking about serious tinkering at this point.

Sign me up Scotty!

marcf

Comments

Unknown said…
Are you running folding @ home on your PS3? its pretty cool to watch.
May 23, 2007 at 3:22:00 PM PDT
Unknown said…
http://en.wikipedia.org/wiki/Folding%40home

it sparked some neurons for me. I have a little meme I'm writing about it and virtualization that I'll send your way for review.
May 23, 2007 at 3:30:00 PM PDT
adt43wt342 said…
No I don't know about folding at home, I will check it out. I was looking at some of that research at Georgia tech, as I was hanging in one of the labs for a couple of months. It is cool to watch, for a little while. The tech and science is hard for what seems to be lackluster results?. Protein folding algorythmic is the domain of expert folks.
May 23, 2007 at 7:31:00 PM PDT
Unknown said…
10 million dollar question? that seems pretty cheap for speeding metabolism... I am in for 20$ if I can shed 20 lbs, and retain a few extra brain cells.

No comparison to AOP or development? It's been months since you last talked about the two worlds.
May 30, 2007 at 11:18:00 AM PDT
adt43wt342 said…
You are right rich, there is no connection that I can see at this point :)
June 1, 2007 at 7:28:00 PM PDT
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