Abstract is: Folding@home (FAH or F@h) is a volunteer computing project aimed to help scientists develop new therapeutics for a variety of diseases by the means of simulating protein dynamics. This includes the process of protein folding and the movements of proteins, and is reliant on simulations run on volunteers' personal computers. Folding@home is currently based at the University of Pennsylvania and led by , a former student of Vijay Pande. The project utilizes graphics processing units (GPUs), central processing units (CPUs), and ARM processors like those on the Raspberry Pi for volunteer computing and scientific research. The project uses statistical simulation methodology that is a paradigm shift from traditional computing methods. As part of the client–server model network architecture, the volunteered machines each receive pieces of a simulation (work units), complete them, and return them to the project's database servers, where the units are compiled into an overall simulation. Volunteers can track their contributions on the Folding@home website, which makes volunteers' participation competitive and encourages long-term involvement. Folding@home is one of the world's fastest computing systems. With heightened interest in the project as a result of the COVID-19 pandemic, the system achieved a speed of approximately 1.22 exaflops by late March 2020 and reached 2.43 exaflops by April 12, 2020, making it the world's first exaflop computing system. This level of performance from its large-scale computing network has allowed researchers to run computationally costly atomic-level simulations of protein folding thousands of times longer than formerly achieved. Since its launch on October 1, 2000, Folding@home was involved in the production of 226 scientific research papers. Results from the project's simulations agree well with experiments.
distributed computing | Q180634 |
grid computing | Q249999 |
simulation software | Q11121294 |
online service | Q19967801 |
P9618 | AlternativeTo software ID | folding-home |
P3454 | Arch Linux package | foldingathome |
P4162 | AUR package | fahclient |
foldingathome | ||
foldingathome-beta | ||
foldingathome-noroot | ||
P10766 | Chocolatey Community package ID | fah |
P2013 | Facebook username | Foldinghome-136059519794607 |
P646 | Freebase ID | /m/025c33 |
P7427 | FreeBSD port | biology/linux-foldingathome |
P3499 | Gentoo package | sci-biology/foldingathome |
P12695 | Gentoo Wiki article ID | Foldingathome |
P9100 | GitHub topic | foldingathome |
P1581 | official blog URL | https://foldingathome.org/news/ |
P856 | official website | https://foldingathome.org/ |
P3417 | Quora topic ID | Folding-Home |
P6931 | Repology project name | fahclient |
P3984 | subreddit | foldingathome |
P600 | Wine AppDB ID | 4885 |
P2002 | X username | foldingathome |
P2397 | YouTube channel ID | UCHdZAZ5uutagD-3qkIrQAdA |
P18 | image | tiff | A Markov state model illustrating 15 of the highest-flux folding pathways between the unfolded and native states of ACBP, a 86-residue helix-bundle protein. Line thicknesses are proportional to pathway folding flux. The Markov state model contained 2000 macrostates. License: CC BY-SA 3.0 Artists: Vincent Voelz This work is copyrighted. Attribution is required. |
P275 | copyright license | proprietary license | Q3238057 |
P6216 | copyright status | copyrighted | Q50423863 |
P170 | creator | Vijay Pande | Q3558243 |
P287 | designed by | Vijay Pande | Q3558243 |
P178 | developer | Sony Group | Q41187 |
ATI Technologies | Q213849 | ||
Nvidia | Q182477 | ||
P2354 | has list | list of Folding@home cores | Q6571040 |
P366 | has use | molecular dynamics simulation | Q901663 |
P571 | inception | 2000-10-01 | |
P407 | language of work or name | English | Q1860 |
P37 | official language | English | Q1860 |
P306 | operating system | Microsoft Windows | Q1406 |
macOS | Q14116 | ||
FreeBSD | Q34236 | ||
GNU/Linux | Q3251801 | ||
P400 | platform | cross-platform | Q174666 |
P577 | publication date | 2000-10-01 | |
P8687 | social media followers | 31299 | |
P348 | software version identifier | 7.6.21 | |
P989 | spoken text audio | This is a spoken word version of the Wikipedia article: Folding@home License: CC BY-SA 3.0 Artists: Speaker: User:Tonystewart14 This work is copyrighted. Attribution is required. |
Q55881148 | Folding@home: Lessons from eight years of volunteer distributed computing |
Q107112104 | SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome |
Q109418540 | COVID Moonshot | partnership with | P2652 |
Q78061707 | Simon Villeneuve | website account on | P553 |
Q3558243 | Vijay Pande | notable work | P800 |
Category:Folding@home | wikimedia | |
Arabic (ar / Q13955) | فولدنغ@هوم | wikipedia |
Folding@home | wikipedia | |
be-tarask | Folding@home | wikipedia |
Folding@home | wikipedia | |
Catalan (ca / Q7026) | Folding@home | wikipedia |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
en-simple | Folding@home | wikipedia |
Esperanto (eo / Q143) | Folding@Home | wikipedia |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Persian (fa / Q9168) | فولدینگ ات هم | wikipedia |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
io | Folding@home | wikipedia |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
nb | Folding@Home | wikipedia |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
Folding@home | wikipedia | |
yue | Folding@home | wikipedia |
Folding@home | wikipedia |
Search more.