RESEARCH: CANCER
FOLDING PROJECT #18717 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 77,809Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies TNF-alpha, a protein involved in both fighting and fueling cancer. Researchers are using computer simulations to understand how TNF-alpha changes shape when it binds to other proteins, and how this affects its ability to promote or stop tumor growth. The goal is to find new ways to use TNF-alpha to treat cancer more effectively.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Tumor necrosis factor α (TNFα) is a cytokine that belongs to a superfamily of trimeric proteins.
This protein has been shown to be important in regulating autoimmune diseases such as arthritis and Crohn’s disease through interactions with the TNF receptor.
In regard to cancer, TNF is a double-dealer.
On one hand, TNF could be an endogenous tumor promoter, because TNF stimulates cancer cells’ growth, proliferation, invasion and metastasis, and tumor angiogenesis.
On the other hand, TNF could be a cancer killer.
In it’s apo state TNFα has shown to be symmetrical, but small ligand inhibitors bind the TNFα disrupt this symmetry by forcing one of the monomers to be below the other two, which disrupts the binding interface to form the TNFα-receptor complex.
In this project, we want to determine the stability of the trimer and get a sense of the free energy landscape.
We also want to determine if the asymmetry found in the inhibited conformation requires the presence of an inhibitor or if the apo trimer can visit inhibited states in the absence of the ligand.
In particular we are interested in learning about the effect the volume of the binding pocket has on forming the asymmetrical TNFα complex.
The initial starting structures are 50 diverse seeds from HREMD simulations started from a crystal structure.
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
Tumor necrosis factor
A cytokine involved in inflammation and immune responses.
Tumor necrosis factor (TNF) is a protein that plays a crucial role in the body's immune system. It helps to fight infections and control inflammation. However, when TNF is overproduced, it can contribute to diseases like arthritis and Crohn's disease.
Cytokine
A type of signaling molecule produced by cells.
Cytokines are small proteins that act as messengers between cells. They play a vital role in regulating the immune system, inflammation, and cell growth.
Autoimmune diseases
Diseases where the immune system attacks the body's own tissues.
Autoimmune diseases occur when the body's immune system mistakenly identifies its own cells and tissues as foreign invaders. This leads to an immune response that damages healthy tissues.
Arthritis
A group of diseases causing inflammation and pain in the joints.
Arthritis is a common condition that affects the joints, causing pain, stiffness, and swelling. There are many different types of arthritis, including osteoarthritis and rheumatoid arthritis.
Crohn's disease
A chronic inflammatory bowel disease.
Crohn's disease is a serious condition that causes inflammation in the digestive tract. Symptoms can include abdominal pain, diarrhea, and weight loss.
Cancer
A disease characterized by uncontrolled cell growth.
Cancer is a group of diseases that involve abnormal cell growth and spread. It can affect any part of the body.
TNF receptor
Tumor necrosis factor receptor
TNF receptors are proteins found on the surface of cells that bind to TNF. This binding triggers various cellular responses.
HREMD
High-resolution explicit molecular dynamics simulations
HREMD is a computational method used to simulate the movement of atoms and molecules in biological systems at high resolution.
Roivant Sciences
A biopharmaceutical company developing new therapies for various diseases.
Roivant Sciences is a publicly traded company that focuses on developing and commercializing new drugs. They have multiple subsidiaries working in different therapeutic areas.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:27:28|
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 | 10,580,676 | 605,027 | 17.49 | 1 hrs 22 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 10,172,053 | 600,532 | 16.94 | 1 hrs 25 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 7,364,588 | 524,491 | 14.04 | 1 hrs 43 mins |
| 4 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 5,819,179 | 496,978 | 11.71 | 2 hrs 3 mins |
| 5 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 5,102,549 | 475,942 | 10.72 | 2 hrs 14 mins |
| 6 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,911,015 | 469,708 | 10.46 | 2 hrs 18 mins |
| 7 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 4,839,818 | 445,394 | 10.87 | 2 hrs 13 mins |
| 8 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 4,826,616 | 467,571 | 10.32 | 2 hrs 19 mins |
| 9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,526,280 | 454,099 | 9.97 | 2 hrs 24 mins |
| 10 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,367,938 | 453,167 | 9.64 | 2 hrs 29 mins |
| 11 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 4,114,812 | 444,646 | 9.25 | 2 hrs 36 mins |
| 12 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,052,643 | 440,508 | 9.20 | 2 hrs 37 mins |
| 13 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,968,290 | 439,763 | 9.02 | 2 hrs 40 mins |
| 14 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,670,958 | 428,746 | 8.56 | 2 hrs 48 mins |
| 15 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 3,383,124 | 407,261 | 8.31 | 2 hrs 53 mins |
| 16 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 3,272,271 | 412,024 | 7.94 | 3 hrs 1 mins |
| 17 | GeForce RTX 3070 Mobile 16GB GA104M [GeForce RTX 3070 Mobile 16GB] |
Nvidia | GA104M | 3,154,642 | 404,821 | 7.79 | 3 hrs 5 mins |
| 18 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,030,834 | 401,821 | 7.54 | 3 hrs 11 mins |
| 19 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,862,556 | 391,625 | 7.31 | 3 hrs 17 mins |
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|||||||
| 20 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 2,848,939 | 393,600 | 7.24 | 3 hrs 19 mins |
| 21 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 2,788,608 | 387,641 | 7.19 | 3 hrs 20 mins |
| 22 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,619,483 | 386,735 | 6.77 | 3 hrs 33 mins |
| 23 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,593,968 | 381,551 | 6.80 | 3 hrs 32 mins |
| 24 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,532,291 | 379,230 | 6.68 | 3 hrs 36 mins |
| 25 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,421,461 | 375,402 | 6.45 | 3 hrs 43 mins |
| 26 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,313,821 | 361,334 | 6.40 | 3 hrs 45 mins |
| 27 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,279,789 | 363,389 | 6.27 | 3 hrs 50 mins |
| 28 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,197,752 | 363,401 | 6.05 | 3 hrs 58 mins |
| 29 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,155,936 | 355,680 | 6.06 | 3 hrs 58 mins |
| 30 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,916,429 | 345,537 | 5.55 | 4 hrs 20 mins |
| 31 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,866,340 | 326,737 | 5.71 | 4 hrs 12 mins |
| 32 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 1,852,661 | 318,690 | 5.81 | 4 hrs 8 mins |
| 33 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,796,638 | 338,764 | 5.30 | 4 hrs 32 mins |
| 34 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 1,771,467 | 321,222 | 5.51 | 4 hrs 21 mins |
| 35 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,763,445 | 324,674 | 5.43 | 4 hrs 25 mins |
| 36 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,758,353 | 322,945 | 5.44 | 4 hrs 24 mins |
| 37 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 1,681,711 | 284,326 | 5.91 | 4 hrs 3 mins |
| 38 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,598,954 | 315,630 | 5.07 | 4 hrs 44 mins |
| 39 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,520,396 | 297,374 | 5.11 | 4 hrs 42 mins |
|
|
|||||||
| 40 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,433,112 | 306,156 | 4.68 | 5 hrs 8 mins |
| 41 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,325,397 | 304,501 | 4.35 | 5 hrs 31 mins |
| 42 | Geforce RTX 3070 Ti Laptop GPU GA104 [Geforce RTX 3070 Ti Laptop GPU] |
Nvidia | GA104 | 1,324,375 | 275,068 | 4.81 | 4 hrs 59 mins |
| 43 | Radeon VII Vega 20 [Radeon VII] |
AMD | Vega 20 | 1,318,219 | 268,514 | 4.91 | 4 hrs 53 mins |
| 44 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,190,177 | 295,728 | 4.02 | 5 hrs 58 mins |
| 45 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,180,927 | 293,236 | 4.03 | 5 hrs 58 mins |
| 46 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 1,085,608 | 290,488 | 3.74 | 6 hrs 25 mins |
| 47 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,049,120 | 281,791 | 3.72 | 6 hrs 27 mins |
| 48 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,033,684 | 287,513 | 3.60 | 6 hrs 41 mins |
| 49 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,019,004 | 279,614 | 3.64 | 6 hrs 35 mins |
| 50 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,000,275 | 276,224 | 3.62 | 6 hrs 38 mins |
| 51 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 983,408 | 266,558 | 3.69 | 6 hrs 30 mins |
| 52 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 961,032 | 273,895 | 3.51 | 6 hrs 50 mins |
| 53 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 946,517 | 268,435 | 3.53 | 6 hrs 48 mins |
| 54 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 943,551 | 269,413 | 3.50 | 6 hrs 51 mins |
| 55 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 937,716 | 270,352 | 3.47 | 6 hrs 55 mins |
| 56 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 861,030 | 266,709 | 3.23 | 7 hrs 26 mins |
| 57 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 798,573 | 245,601 | 3.25 | 7 hrs 23 mins |
| 58 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 764,837 | 237,856 | 3.22 | 7 hrs 28 mins |
| 59 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 742,570 | 253,047 | 2.93 | 8 hrs 11 mins |
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| 60 | Radeon Vega FE Vega 10 XTX [Radeon Vega FE] |
AMD | Vega 10 XTX | 727,150 | 198,974 | 3.65 | 6 hrs 34 mins |
| 61 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 670,530 | 243,157 | 2.76 | 8 hrs 42 mins |
| 62 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 606,166 | 240,027 | 2.53 | 9 hrs 30 mins |
| 63 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 597,019 | 245,801 | 2.43 | 9 hrs 53 mins |
| 64 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 572,003 | 233,953 | 2.44 | 9 hrs 49 mins |
| 65 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 529,376 | 225,980 | 2.34 | 10 hrs 15 mins |
| 66 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 525,487 | 223,218 | 2.35 | 10 hrs 12 mins |
| 67 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 513,157 | 192,395 | 2.67 | 8 hrs 60 mins |
| 68 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 503,836 | 221,134 | 2.28 | 10 hrs 32 mins |
| 69 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 498,007 | 216,939 | 2.30 | 10 hrs 27 mins |
| 70 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 391,191 | 223,181 | 1.75 | 13 hrs 42 mins |
| 71 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 374,026 | 199,792 | 1.87 | 12 hrs 49 mins |
| 72 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 364,552 | 189,214 | 1.93 | 12 hrs 27 mins |
| 73 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 351,561 | 220,953 | 1.59 | 15 hrs 5 mins |
| 74 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 338,316 | 193,442 | 1.75 | 13 hrs 43 mins |
| 75 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 312,632 | 192,945 | 1.62 | 14 hrs 49 mins |
| 76 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 298,677 | 183,803 | 1.62 | 14 hrs 46 mins |
| 77 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 293,535 | 205,703 | 1.43 | 16 hrs 49 mins |
| 78 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 282,264 | 185,297 | 1.52 | 15 hrs 45 mins |
| 79 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 250,708 | 183,789 | 1.36 | 17 hrs 36 mins |
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| 80 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 229,825 | 167,571 | 1.37 | 17 hrs 30 mins |
| 81 | Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP] |
AMD | Polaris 20 XL | 221,658 | 164,067 | 1.35 | 17 hrs 46 mins |
| 82 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 200,269 | 162,559 | 1.23 | 19 hrs 29 mins |
| 83 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 196,860 | 161,579 | 1.22 | 19 hrs 42 mins |
| 84 | Tesla K40m GK110 [Tesla K40m] 5046 |
Nvidia | GK110 | 188,797 | 182,532 | 1.03 | 23 hrs 12 mins |
| 85 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 174,828 | 165,823 | 1.05 | 22 hrs 46 mins |
| 86 | R9 290X/390X Hawaii/Grenada XT [R9 290X/390X] |
AMD | Hawaii/Grenada XT | 154,708 | 140,965 | 1.10 | 21 hrs 52 mins |
| 87 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 137,740 | 141,426 | 0.97 | 24 hrs 39 mins |
| 88 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 121,690 | 133,251 | 0.91 | 26 hrs 17 mins |
| 89 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 119,425 | 151,191 | 0.79 | 30 hrs 23 mins |
| 90 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 107,031 | 131,972 | 0.81 | 29 hrs 36 mins |
| 91 | Radeon RX 460/560D Baffin [Radeon RX 460/560D] |
AMD | Baffin | 95,184 | 143,882 | 0.66 | 36 hrs 17 mins |
| 92 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 82,052 | 139,734 | 0.59 | 40 hrs 52 mins |
| 93 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 73,522 | 120,000 | 0.61 | 39 hrs 10 mins |
| 94 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 50,165 | 120,000 | 0.42 | 57 hrs 25 mins |
| 95 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 45,316 | 120,000 | 0.38 | 63 hrs 33 mins |
| 96 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 25,462 | 120,370 | 0.21 | 113 hrs 28 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:27:28|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|