RESEARCH: CANCER
FOLDING PROJECT #18707 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 190,000Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project aims to find new drugs that block a protein called JAK2, which is involved in some cancers like myelofibrosis. Using powerful computers and data from experiments, researchers are searching for molecules that can fit into JAK2 and stop it from working. The goal is to develop more effective and targeted treatments for these diseases. All data from this project will be made public.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
From https://www.tandfonline.com/doi/full/10.1080/1744666X.2022.2050596: "Dysregulation of JAK signaling is a feature of many diseases.
Targeting the JAK pathway started out as a therapeutic option in the field of myeloproliferative disorders.
The JAK2 Val617Phe mutation, which results in constitutive activation of the pathway, is found in over 50% of individuals with myelofibrosis and essential thrombocythaemia, and almost 100% of patients with polycythemia vera [5,6].
Ruxolitinib, a JAK1/JAK2 inhibitor, was the first JAK inhibitor approved for clinical use to treat myelofibrosis in 2011." Starting from an AlphaFold structure of the JAK2 mutant, In these projects were are generating data to aid virtual screening efforts for new (more selective) inhibitors, as well as conducting small molecule fragment screens to find potential starting points for design efforts (which are being shared with all of you in real time, and will be summarized regularly).
This is a project run by Roivant Sciences (formerly Silicon Therapeutics) as was officially announced in this press release: https://foldingathome.org/2021/04/20/maximizing-the-impact-of-foldinghome-by-engaging-industry-collaborators/ All data is being made publicly available as soon as it is received at https://console.cloud.google.com/storage/browser/stxfah-bucket.
RELATED TERMS GLOSSARY AI BETA
JAK signaling
A biological pathway involved in cell growth and development.
JAK signaling is a crucial process in the body that controls how cells grow and respond to signals. It involves proteins called JAKs which activate other molecules to turn genes on or off. Dysregulation of this pathway can lead to various diseases, making it a target for new drugs.
Myeloproliferative disorders
A group of cancers that affect the blood and bone marrow.
Myeloproliferative disorders are a type of cancer that affects the cells in the bone marrow responsible for producing blood. These disorders cause an overproduction of blood cells, leading to various symptoms such as fatigue, bleeding, and clotting problems.
JAK2 Val617Phe mutation
A specific mutation in the JAK2 gene.
The JAK2 Val617Phe mutation is a common genetic alteration found in individuals with certain blood cancers like myelofibrosis and polycythemia vera. It causes the JAK2 protein to become overactive, leading to uncontrolled cell growth.
Ruxolitinib
A medication used to treat myelofibrosis and polycythemia vera.
Ruxolitinib is a JAK inhibitor drug approved for treating certain blood cancers. It works by blocking the activity of specific proteins involved in cell growth, helping to slow down the progression of the disease.
AlphaFold
A machine learning system that predicts protein structures.
AlphaFold is a powerful artificial intelligence program developed by DeepMind. It uses machine learning algorithms to predict the 3D structure of proteins, which is crucial for understanding their function and designing new drugs.
Roivant Sciences
A biotechnology company focused on developing new therapies.
Roivant Sciences is a pharmaceutical research and development company that specializes in bringing innovative drugs to market. They have a portfolio of diverse projects targeting various diseases.
Silicon Therapeutics
A former biotechnology company acquired by Roivant Sciences.
Silicon Therapeutics was a biotechnology company that focused on developing new treatments for diseases. They were acquired by Roivant Sciences in 2021.
Folding@home
A distributed computing project that uses volunteer computer power to simulate protein folding.
Folding@home is a global research project that harnesses the processing power of millions of computers worldwide. Volunteers donate their idle computing resources to simulate protein folding, advancing our understanding of diseases and drug development.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:27:40|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 13,045,142 | 835,033 | 15.62 | 1 hrs 32 mins |
| 2 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 7,163,803 | 688,440 | 10.41 | 2 hrs 18 mins |
| 3 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,306,204 | 651,662 | 9.68 | 2 hrs 29 mins |
| 4 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 6,087,007 | 634,448 | 9.59 | 2 hrs 30 mins |
| 5 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 5,857,059 | 640,428 | 9.15 | 2 hrs 37 mins |
| 6 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,269,578 | 618,934 | 8.51 | 2 hrs 49 mins |
| 7 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,168,990 | 616,028 | 8.39 | 2 hrs 52 mins |
| 8 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,294,578 | 579,962 | 7.40 | 3 hrs 14 mins |
| 9 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,091,574 | 571,340 | 7.16 | 3 hrs 21 mins |
| 10 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 3,637,084 | 533,448 | 6.82 | 3 hrs 31 mins |
| 11 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,604,671 | 547,664 | 6.58 | 3 hrs 39 mins |
| 12 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,193,077 | 527,262 | 6.06 | 3 hrs 58 mins |
| 13 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,136,957 | 520,673 | 6.02 | 3 hrs 59 mins |
| 14 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,910,743 | 509,724 | 5.71 | 4 hrs 12 mins |
| 15 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,626,049 | 492,744 | 5.33 | 4 hrs 30 mins |
| 16 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,472,432 | 483,981 | 5.11 | 4 hrs 42 mins |
| 17 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,428,347 | 484,253 | 5.01 | 4 hrs 47 mins |
| 18 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,231,754 | 478,642 | 4.66 | 5 hrs 9 mins |
| 19 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,231,745 | 465,343 | 4.80 | 5 hrs 0 mins |
|
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| 20 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,169,663 | 440,552 | 4.92 | 4 hrs 52 mins |
| 21 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 2,123,990 | 442,052 | 4.80 | 4 hrs 60 mins |
| 22 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,091,123 | 457,409 | 4.57 | 5 hrs 15 mins |
| 23 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,954,811 | 438,089 | 4.46 | 5 hrs 23 mins |
| 24 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,843,438 | 445,726 | 4.14 | 5 hrs 48 mins |
| 25 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,781,782 | 381,337 | 4.67 | 5 hrs 8 mins |
| 26 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,729,766 | 417,250 | 4.15 | 5 hrs 47 mins |
| 27 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,689,952 | 449,737 | 3.76 | 6 hrs 23 mins |
| 28 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,676,852 | 424,007 | 3.95 | 6 hrs 4 mins |
| 29 | Radeon RX 6650 XT Navi 23 [Radeon RX 6650 XT] |
AMD | Navi 23 | 1,662,963 | 416,807 | 3.99 | 6 hrs 1 mins |
| 30 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,544,924 | 414,523 | 3.73 | 6 hrs 26 mins |
| 31 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,439,235 | 407,537 | 3.53 | 6 hrs 48 mins |
| 32 | Radeon PRO W6600 Navi 23 WKS-XL [Radeon PRO W6600] |
AMD | Navi 23 WKS-XL | 1,372,156 | 390,838 | 3.51 | 6 hrs 50 mins |
| 33 | Radeon RX 6600/6600 XT/6600M Navi 23 [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 | 1,250,291 | 373,406 | 3.35 | 7 hrs 10 mins |
| 34 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,206,380 | 370,044 | 3.26 | 7 hrs 22 mins |
| 35 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,183,192 | 344,644 | 3.43 | 6 hrs 59 mins |
| 36 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,171,374 | 383,160 | 3.06 | 7 hrs 51 mins |
| 37 | Radeon RX 6700/6700 XT/6750 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT/6750 XT / 6800M] |
AMD | Navi 22 | 1,133,698 | 357,056 | 3.18 | 7 hrs 34 mins |
| 38 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,118,046 | 361,120 | 3.10 | 7 hrs 45 mins |
| 39 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 996,006 | 360,139 | 2.77 | 8 hrs 41 mins |
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| 40 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 986,386 | 359,172 | 2.75 | 8 hrs 44 mins |
| 41 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 963,651 | 353,047 | 2.73 | 8 hrs 48 mins |
| 42 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 941,407 | 350,028 | 2.69 | 8 hrs 55 mins |
| 43 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 933,609 | 347,061 | 2.69 | 8 hrs 55 mins |
| 44 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 887,307 | 363,656 | 2.44 | 9 hrs 50 mins |
| 45 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 876,231 | 380,865 | 2.30 | 10 hrs 26 mins |
| 46 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 860,732 | 359,833 | 2.39 | 10 hrs 2 mins |
| 47 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 852,203 | 364,233 | 2.34 | 10 hrs 15 mins |
| 48 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 842,436 | 344,014 | 2.45 | 9 hrs 48 mins |
| 49 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 832,850 | 340,978 | 2.44 | 9 hrs 50 mins |
| 50 | Radeon Instinct MI25 Vega 10 [Radeon Instinct MI25] |
AMD | Vega 10 | 762,537 | 326,761 | 2.33 | 10 hrs 17 mins |
| 51 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 683,355 | 313,611 | 2.18 | 11 hrs 1 mins |
| 52 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 656,996 | 310,864 | 2.11 | 11 hrs 21 mins |
| 53 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 644,274 | 309,167 | 2.08 | 11 hrs 31 mins |
| 54 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 607,889 | 309,389 | 1.96 | 12 hrs 13 mins |
| 55 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 597,710 | 299,984 | 1.99 | 12 hrs 3 mins |
| 56 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 548,431 | 288,651 | 1.90 | 12 hrs 38 mins |
| 57 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 502,659 | 270,886 | 1.86 | 12 hrs 56 mins |
| 58 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 490,968 | 296,543 | 1.66 | 14 hrs 30 mins |
| 59 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 445,719 | 285,255 | 1.56 | 15 hrs 22 mins |
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| 60 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 389,369 | 266,854 | 1.46 | 16 hrs 27 mins |
| 61 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 377,439 | 264,057 | 1.43 | 16 hrs 47 mins |
| 62 | Radeon Pro WX 7100 Graphics [Radeon Pro WX 7100 Graphics] 4150 |
AMD | 348,207 | 276,699 | 1.26 | 19 hrs 4 mins | |
| 63 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 338,458 | 249,035 | 1.36 | 17 hrs 40 mins |
| 64 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 331,212 | 252,550 | 1.31 | 18 hrs 18 mins |
| 65 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 325,153 | 246,016 | 1.32 | 18 hrs 10 mins |
| 66 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 256,178 | 225,539 | 1.14 | 21 hrs 8 mins |
| 67 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 241,321 | 222,957 | 1.08 | 22 hrs 10 mins |
| 68 | FirePro Series Tonga PRO GL [FirePro Series] |
AMD | Tonga PRO GL | 224,523 | 231,460 | 0.97 | 24 hrs 44 mins |
| 69 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 218,607 | 213,070 | 1.03 | 23 hrs 24 mins |
| 70 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 192,441 | 192,444 | 1.00 | 24 hrs 0 mins |
| 71 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 132,125 | 175,000 | 0.76 | 31 hrs 47 mins |
| 72 | Quadro M2000 GM206GL [Quadro M2000] |
Nvidia | GM206GL | 129,025 | 179,273 | 0.72 | 33 hrs 21 mins |
| 73 | Radeon R9 200 Series Hawaii [Radeon R9 200 Series] |
AMD | Hawaii | 118,727 | 175,000 | 0.68 | 35 hrs 23 mins |
| 74 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 101,278 | 175,000 | 0.58 | 41 hrs 28 mins |
| 75 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 97,356 | 175,000 | 0.56 | 43 hrs 8 mins |
| 76 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 94,667 | 175,000 | 0.54 | 44 hrs 22 mins |
| 77 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 83,820 | 175,000 | 0.48 | 50 hrs 6 mins |
| 78 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 69,490 | 175,869 | 0.40 | 60 hrs 44 mins |
| 79 | Quadro P400 GP107GL [Quadro P400] |
Nvidia | GP107GL | 65,038 | 175,000 | 0.37 | 64 hrs 35 mins |
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| 80 | Radeon WX 3100 [Radeon WX 3100] |
AMD | 62,729 | 175,000 | 0.36 | 66 hrs 57 mins | |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:27:40|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|