RESEARCH: CANCER
FOLDING PROJECT #18719 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 investigates how the protein TNF-alpha interacts with its receptor, which is important for regulating autoimmune diseases and fighting cancer. Scientists are using computer simulations to understand how the shape of TNF-alpha changes when it binds to a receptor, and how this binding affects tumor growth. The goal is to learn more about how TNF-alpha works and potentially develop new drugs based on these findings.
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 that plays a role in inflammation and immune responses.
Tumor necrosis factor (TNF) is a protein involved in the body's immune system. It helps fight infections but can also cause inflammation. This can be helpful when fighting off diseases but harmful in conditions like arthritis.
Cytokine
A small protein that is secreted by cells and acts as a signaling molecule.
Cytokines are like messengers in the body's immune system. They help cells communicate with each other to fight off infections and heal wounds.
Autoimmune diseases
Conditions in which the immune system attacks the body's own tissues.
Autoimmune diseases occur when the body's immune system mistakes healthy cells for invaders and attacks them. This can cause inflammation and damage to various organs.
Arthritis
A group of conditions that cause inflammation and pain in the joints.
Arthritis is a common condition that causes pain, stiffness, and swelling in the joints. It can affect people of all ages.
Crohn’s disease
A chronic inflammatory bowel disease that affects the digestive tract.
Crohn's disease is a serious condition that causes inflammation in the digestive tract. This can lead to symptoms such as abdominal pain, diarrhea, and weight loss.
Cancer
A group of diseases characterized by the uncontrolled growth and spread of abnormal cells.
Cancer is a disease that occurs when cells in the body grow uncontrollably. This can lead to tumors forming and spreading to other parts of the body.
Tumor angiogenesis
The formation of new blood vessels that supply tumors.
Tumor angiogenesis is the process by which tumors develop their own blood supply. This allows them to grow and spread.
TNF receptor
A protein that binds to TNF and mediates its effects.
The TNF receptor is a protein on the surface of cells that receives signals from TNF. This can trigger various responses, including inflammation.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:27:27|
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 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 10,008,783 | 592,162 | 16.90 | 1 hrs 25 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 9,583,340 | 576,141 | 16.63 | 1 hrs 27 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,337,428 | 536,207 | 17.41 | 1 hrs 23 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 5,508,200 | 489,392 | 11.26 | 2 hrs 8 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 5,481,172 | 486,509 | 11.27 | 2 hrs 8 mins |
| 6 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,180,685 | 478,725 | 10.82 | 2 hrs 13 mins |
| 7 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 4,943,086 | 469,168 | 10.54 | 2 hrs 17 mins |
| 8 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 4,540,807 | 454,462 | 9.99 | 2 hrs 24 mins |
| 9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,412,033 | 451,227 | 9.78 | 2 hrs 27 mins |
| 10 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,386,489 | 454,788 | 9.65 | 2 hrs 29 mins |
| 11 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 4,118,381 | 445,433 | 9.25 | 2 hrs 36 mins |
| 12 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,008,638 | 441,098 | 9.09 | 2 hrs 38 mins |
| 13 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,803,028 | 431,583 | 8.81 | 2 hrs 43 mins |
| 14 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,545,158 | 423,614 | 8.37 | 2 hrs 52 mins |
| 15 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,859,837 | 392,863 | 7.28 | 3 hrs 18 mins |
| 16 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,809,024 | 379,650 | 7.40 | 3 hrs 15 mins |
| 17 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,782,942 | 386,765 | 7.20 | 3 hrs 20 mins |
| 18 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,779,694 | 421,195 | 6.60 | 3 hrs 38 mins |
| 19 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,399,895 | 374,461 | 6.41 | 3 hrs 45 mins |
|
|
|||||||
| 20 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,393,097 | 372,237 | 6.43 | 3 hrs 44 mins |
| 21 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,224,930 | 363,310 | 6.12 | 3 hrs 55 mins |
| 22 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,212,726 | 362,446 | 6.10 | 3 hrs 56 mins |
| 23 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 1,962,452 | 346,871 | 5.66 | 4 hrs 15 mins |
| 24 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,938,893 | 336,031 | 5.77 | 4 hrs 10 mins |
| 25 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,891,531 | 344,391 | 5.49 | 4 hrs 22 mins |
| 26 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,809,366 | 338,478 | 5.35 | 4 hrs 29 mins |
| 27 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,561,281 | 316,522 | 4.93 | 4 hrs 52 mins |
| 28 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,517,098 | 304,922 | 4.98 | 4 hrs 49 mins |
| 29 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,477,738 | 308,381 | 4.79 | 5 hrs 1 mins |
| 30 | Radeon VII Vega 20 [Radeon VII] |
AMD | Vega 20 | 1,425,996 | 300,311 | 4.75 | 5 hrs 3 mins |
| 31 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,306,181 | 309,999 | 4.21 | 5 hrs 42 mins |
| 32 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,280,824 | 224,422 | 5.71 | 4 hrs 12 mins |
| 33 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,164,018 | 285,376 | 4.08 | 5 hrs 53 mins |
| 34 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,071,859 | 291,217 | 3.68 | 6 hrs 31 mins |
| 35 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 998,739 | 281,645 | 3.55 | 6 hrs 46 mins |
| 36 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 986,018 | 282,183 | 3.49 | 6 hrs 52 mins |
| 37 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 982,593 | 291,638 | 3.37 | 7 hrs 7 mins |
| 38 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 981,454 | 286,567 | 3.42 | 7 hrs 0 mins |
| 39 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 981,166 | 287,593 | 3.41 | 7 hrs 2 mins |
|
|
|||||||
| 40 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 941,260 | 268,013 | 3.51 | 6 hrs 50 mins |
| 41 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 766,152 | 253,830 | 3.02 | 7 hrs 57 mins |
| 42 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 756,553 | 254,421 | 2.97 | 8 hrs 4 mins |
| 43 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 754,063 | 254,030 | 2.97 | 8 hrs 5 mins |
| 44 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 740,137 | 252,021 | 2.94 | 8 hrs 10 mins |
| 45 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 708,392 | 218,604 | 3.24 | 7 hrs 24 mins |
| 46 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 616,251 | 225,991 | 2.73 | 8 hrs 48 mins |
| 47 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 612,695 | 154,663 | 3.96 | 6 hrs 4 mins |
| 48 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 595,411 | 234,374 | 2.54 | 9 hrs 27 mins |
| 49 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 555,800 | 228,257 | 2.43 | 9 hrs 51 mins |
| 50 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 509,930 | 231,519 | 2.20 | 10 hrs 54 mins |
| 51 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 488,575 | 208,895 | 2.34 | 10 hrs 16 mins |
| 52 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 488,057 | 231,047 | 2.11 | 11 hrs 22 mins |
| 53 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 448,101 | 212,476 | 2.11 | 11 hrs 23 mins |
| 54 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 419,711 | 202,831 | 2.07 | 11 hrs 36 mins |
| 55 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 382,287 | 214,859 | 1.78 | 13 hrs 29 mins |
| 56 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 357,741 | 167,167 | 2.14 | 11 hrs 13 mins |
| 57 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 350,279 | 218,509 | 1.60 | 14 hrs 58 mins |
| 58 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 291,825 | 194,218 | 1.50 | 15 hrs 58 mins |
| 59 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 233,056 | 166,190 | 1.40 | 17 hrs 7 mins |
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|||||||
| 60 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 227,520 | 169,143 | 1.35 | 17 hrs 51 mins |
| 61 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 200,465 | 162,886 | 1.23 | 19 hrs 30 mins |
| 62 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 188,433 | 159,039 | 1.18 | 20 hrs 15 mins |
| 63 | Tesla K40m GK110 [Tesla K40m] 5046 |
Nvidia | GK110 | 186,230 | 180,688 | 1.03 | 23 hrs 17 mins |
| 64 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 156,922 | 165,043 | 0.95 | 25 hrs 15 mins |
| 65 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 128,231 | 139,442 | 0.92 | 26 hrs 6 mins |
| 66 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 105,652 | 131,422 | 0.80 | 29 hrs 51 mins |
| 67 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 89,658 | 120,000 | 0.75 | 32 hrs 7 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:27:27|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|