we will be posting photos and videos on the facebook page of gpugrid.

If you want to be notified just follow us:
http://www.facebook.com/gpugrid

gdf

Just make sure unfacebooked people can see it as well (currently seems to be the case).

MrS
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Scanning for our furry friends since Jan 2002

New Wus are coming.

gdf

Good concept - reach out to new interest, but I couldn't possibly have a Twitter or Facebook account.
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so for videos we keep using youtube. But for photos we use facebook.
Take it as a blog page. I don't use it either for anything else than gpugrid actually.


gdf

To be fair, the Facebook site can be viewed by "outsiders". And it adds this "social stuff" which you won't get with a regular homepage - comments, links, discussions etc.

How much this is worth.. we'll see!

MrS

Ps: Sure, you could add these "social" things to a normal webpage as well (and e.g. use the current forum login for this), but that would actually just create another almost-facebook. And require some effort.
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Scanning for our furry friends since Jan 2002

I think it's a matter of time scale: if you look quickly it will seem like the smaller molecule "just snapped in". But the more closer we look (and we need to do that in order to better understand it), the more the process will look like millions of seemingly random bonds, rebonds, bond-attempts etc. But given enough attempts the proper molecule will find the right spot within some typical time frame, whereas most others won't.

How the structure and composition of these molecules affects this bonding / slide in process is one of (or the?) major research topics of GPU-Grid.

(disclaimer: not officially speaking for the project and not totally sure what I said is correct)

MrS
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Scanning for our furry friends since Jan 2002

Dagorath, since you seem to be interested in the video I can provide some more info.
The process you are referring to is usually called protein-ligand binding, and the pocket/niche the ligand slips into is called a binding pocket or binding site.
The key and lock model is the oldest but there are now two more models called induced fit and conformational selection.
As far as I understand, induced fit means that the ligand can first bind on the protein and then the protein changes conformation (moves) to improve the binding. The conformational selection means that the protein changes conformations until it matches the ligand and then they bind (like in the key and lock model).
In some/many(?) cases both of the later ones are happening (protein moves around until ligand fits and then the ligand causes conformational change in the protein to fit better).
I am not much of a biologist though so I am not very up to date with any newer models.

Also, yes, motor proteins are awesome :)

(NinjaEdit, thanks to Nate's clarifications)