To join the fight, go to http://folding.stanford.edu/ (Team: #223887)

 

Don't trust Lord Calicorn

Sure, they are helpful.

Sure, they are joining the fight against disease and illness.

But at their latest update, they had provided 666 points for Fandoms Fighting Disease.

What do you we know about this Lord Calicorn, I wonder?

Is their suspicious Score a sign of some ominous double-intent in their work?

We’re watching you.

And we suggest everyone else follows them, too. Keep an eye on that suspicious character.

caffeinatedfeminist answered your question: Here’s the weird thing. Not going home for 5…

I had a moment of realization while playing Dragon Age. I was like I AM STOPPING THE BLIGHT AND CANCER AT THE SAME TIME

Check her out! Caffeinatedfeminist, fighting the world’s ills, both fantastic and realistic.

This is how it’s done!

Here’s the weird thing.

Not going home for 5 hours.

And knowing your computer has brought a cure 5 hours closer.

Of those of you folding so far, what has your experience been like?

Today’s Folding Project is about Folding itself! Here is the description of what I’m currently working on.
This project is a test of a novel means to significantly accelearate Folding@home Molecular Dynamics calculations by 100x without any additional increase in hardware. Thus, this method has great promise to push Folding@home way beyond what it can do now, although there is much work to do to test it to make sure that the results are scientifically valid and useful. You can find more information about the method by reading one of our recent papers. Technical details
This project (ww0) is set for 600.00 points, a preferred deadline of 8.00 days, and a final deadline 11.00 days. This project uses the GRO-A4 FAH core software and is hosted by Folding@home server 129.74.85.15.
Manager for this project
This project is maintaned by Badi’ Abdul-Wahid and Prof. Jesus Izaguirre. We are researchers at the Laboratory for Computational Life Sciences (LCLS) at Notre Dame.Our research focuses on application of high-performance computational methods to biomolecular computing, with a special interest on parallel, multiscale algorithms for molecular dynamics. Simulations of biomolecules are an area of great potential, both to understand cellular processes at an atomic level, and to drive important applications such as drug design. One difficulty is the size of the simulations needed (hundreds of thousands of atoms) and the fact that stability of the numerical algorithms severely limits the step size used to solve the systems of ordinary differential equations that arise in these simulations. We attempt to construct both better algorithms that are able to take longer time steps and efficient parallel implementations that exploit the multiple time and space scales present present in biological systems. These methods are driven by specific applications, such as limb formation, protein folding, and drug design.

Today’s Folding Project is about Folding itself! Here is the description of what I’m currently working on.

This project is a test of a novel means to significantly accelearate Folding@home Molecular Dynamics calculations by 100x without any additional increase in hardware. Thus, this method has great promise to push Folding@home way beyond what it can do now, although there is much work to do to test it to make sure that the results are scientifically valid and useful. You can find more information about the method by reading one of our recent papers

Technical details

This project (ww0) is set for 600.00 points, a preferred deadline of 8.00 days, and a final deadline 11.00 days. This project uses the GRO-A4 FAH core software and is hosted by Folding@home server 129.74.85.15.

Manager for this project

imageThis project is maintaned by Badi’ Abdul-Wahid and Prof. Jesus Izaguirre. We are researchers at the Laboratory for Computational Life Sciences (LCLS) at Notre Dame.
Our research focuses on application of high-performance computational methods to biomolecular computing, with a special interest on parallel, multiscale algorithms for molecular dynamics. Simulations of biomolecules are an area of great potential, both to understand cellular processes at an atomic level, and to drive important applications such as drug design. One difficulty is the size of the simulations needed (hundreds of thousands of atoms) and the fact that stability of the numerical algorithms severely limits the step size used to solve the systems of ordinary differential equations that arise in these simulations. We attempt to construct both better algorithms that are able to take longer time steps and efficient parallel implementations that exploit the multiple time and space scales present present in biological systems. These methods are driven by specific applications, such as limb formation, protein folding, and drug design.

bellybuttonsatan asked
Sorry, this is probably a silly question, but how does one join the team after downloading the client?

It’s not a silly question at all, and I’ll add it to the FAQ shortly!

Once you have downloaded the client and started it up, right click on the icon in your task tray. Click on Web Control. A web page will pop up. From there, you will see an Identity Tab, and you can input the team number (223887) there.

There’s probably an even quicker version, but I myself am new to a lot of Folding @ Home’s functionality and intend to fiddle with it more.

Thank you for asking and welcome to the fight!

Thanks to Pursuitofnerdiness to joining the fight!

Everyone can see Pursuitofnerdiness’s progress in fighting disease here!

And if you want to follow the blog of this hero, feel free to check out their blog!

Pursuit, for being a My Little Pony fan bucking up and helping the fight against illness, we proudly present you this hoof bump.

pursuitofnerdiness answered: Yep, I’m 50% through my first unit! I assume it will be faster once I go to bed and leave my computer alone. :)

Thanks so much for your help! This is great! What’s your profile? Have you joined the F.F.D. team yet?

You rock!

Aw yes.
Mother.
Fuckin’.
Folding.
We solved one problem for Stanford University so far. Humble beginnings!

Aw yes.

Mother.

Fuckin’.

Folding.

We solved one problem for Stanford University so far. Humble beginnings!

Our F.F.D. Stat Page!

As we’re just getting set up and it only updates daily, this page only reflects my personal computer’s efforts. As you can see, though, Fandoms Fighting Disease is already 61736 of 217479 on the rankings against the other teams.

Join the fight! Let’s get the rank up there kick cancer’s ass.

Good afternoon!

Hello, to all my new followers! Thanks for joining!

Have you had a chance to check out Folding @ Home yet?