RESEARCH: CANCER
FOLDING PROJECT #18714 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 67,342Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project explores how tumor necrosis factor alpha (TNFα), a protein involved in both fighting and fueling cancer, changes shape when it binds to its target. Researchers are using computer simulations to understand how TNFα's structure affects its ability to interact with cells and potentially treat diseases like arthritis and cancer.
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 α
TNFα
Tumor Necrosis Factor alpha (TNFα) is a protein that plays a key role in the body's immune response. It can trigger inflammation and help fight infections, but it can also contribute to autoimmune diseases.
Cytokine
Signaling molecule produced by cells of the immune system
Cytokines are small proteins that act as messengers between cells, particularly in the immune system. They regulate various immune responses, including inflammation, cell growth, and differentiation.
Autoimmune disease
A condition where the immune system attacks the body's own tissues
Autoimmune diseases occur when the body's immune system mistakenly identifies healthy cells and tissues as foreign invaders, leading to an attack on these tissues. Examples include rheumatoid arthritis, lupus, and type 1 diabetes.
Arthritis
Joint inflammation and pain
Arthritis is a general term for conditions that cause inflammation in the joints, leading to pain, stiffness, swelling, and reduced mobility. There are various types of arthritis, such as osteoarthritis and rheumatoid arthritis.
Crohn’s disease
Chronic inflammatory bowel disease
Crohn's disease is a chronic inflammatory bowel disease that can affect any part of the digestive tract, from the mouth to the anus. It causes inflammation, pain, diarrhea, and other symptoms.
Cancer
Uncontrolled cell growth and spread
Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. It can affect various organs and tissues in the body.
Tumor angiogenesis
The formation of new blood vessels that supply a tumor
Tumor angiogenesis is the process by which tumors develop new blood vessels to provide themselves with oxygen and nutrients for growth. This process is essential for tumor development and spread.
Inhibitor
A molecule that binds to and reduces the activity of a target protein
Inhibitors are molecules that can block or reduce the activity of specific proteins. They are widely used in drug development to target disease-causing proteins.
Apo trimer
The TNFα molecule without a bound ligand
An apo trimer refers to the natural, unbound form of the TNFα protein. It exists as a three-unit structure (trimer) and is capable of interacting with its receptor when a ligand binds.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:27:33|
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 | 8,934,370 | 432,114 | 20.68 | 1 hrs 10 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 8,707,856 | 444,805 | 19.58 | 1 hrs 14 mins |
| 3 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 6,574,220 | 404,590 | 16.25 | 1 hrs 29 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 5,713,908 | 376,644 | 15.17 | 1 hrs 35 mins |
| 5 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,790,329 | 363,075 | 13.19 | 1 hrs 49 mins |
| 6 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 4,648,558 | 357,855 | 12.99 | 1 hrs 51 mins |
| 7 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 4,541,197 | 314,086 | 14.46 | 1 hrs 40 mins |
| 8 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,438,476 | 348,771 | 12.73 | 1 hrs 53 mins |
| 9 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,081,282 | 346,452 | 11.78 | 2 hrs 2 mins |
| 10 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,581,082 | 331,493 | 10.80 | 2 hrs 13 mins |
| 11 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,353,504 | 324,164 | 10.35 | 2 hrs 19 mins |
| 12 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 2,837,497 | 305,609 | 9.28 | 2 hrs 35 mins |
| 13 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,696,812 | 295,101 | 9.14 | 2 hrs 38 mins |
| 14 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,584,679 | 290,003 | 8.91 | 2 hrs 42 mins |
| 15 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,465,465 | 282,526 | 8.73 | 2 hrs 45 mins |
| 16 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,361,227 | 288,354 | 8.19 | 2 hrs 56 mins |
| 17 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,251,550 | 283,880 | 7.93 | 3 hrs 2 mins |
| 18 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,096,774 | 271,054 | 7.74 | 3 hrs 6 mins |
| 19 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,919,304 | 268,658 | 7.14 | 3 hrs 22 mins |
|
|
|||||||
| 20 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,806,848 | 264,561 | 6.83 | 3 hrs 31 mins |
| 21 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,679,589 | 256,340 | 6.55 | 3 hrs 40 mins |
| 22 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 1,477,126 | 238,295 | 6.20 | 3 hrs 52 mins |
| 23 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 1,414,692 | 236,799 | 5.97 | 4 hrs 1 mins |
| 24 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,404,022 | 241,062 | 5.82 | 4 hrs 7 mins |
| 25 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,401,406 | 235,247 | 5.96 | 4 hrs 2 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,120,692 | 227,303 | 4.93 | 4 hrs 52 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,102,121 | 224,872 | 4.90 | 4 hrs 54 mins |
| 28 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,037,705 | 220,016 | 4.72 | 5 hrs 5 mins |
| 29 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 970,397 | 213,770 | 4.54 | 5 hrs 17 mins |
| 30 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 940,835 | 211,460 | 4.45 | 5 hrs 24 mins |
| 31 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 903,992 | 211,640 | 4.27 | 5 hrs 37 mins |
| 32 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 873,082 | 207,025 | 4.22 | 5 hrs 41 mins |
| 33 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 778,510 | 199,508 | 3.90 | 6 hrs 9 mins |
| 34 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 703,359 | 202,892 | 3.47 | 6 hrs 55 mins |
| 35 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 700,584 | 192,421 | 3.64 | 6 hrs 36 mins |
| 36 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 481,312 | 175,348 | 2.74 | 8 hrs 45 mins |
| 37 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 474,464 | 168,817 | 2.81 | 8 hrs 32 mins |
| 38 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 442,155 | 171,822 | 2.57 | 9 hrs 20 mins |
| 39 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 425,063 | 162,841 | 2.61 | 9 hrs 12 mins |
|
|
|||||||
| 40 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 382,120 | 167,434 | 2.28 | 10 hrs 31 mins |
| 41 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 349,476 | 159,202 | 2.20 | 10 hrs 56 mins |
| 42 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 324,629 | 149,040 | 2.18 | 11 hrs 1 mins |
| 43 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 258,597 | 147,170 | 1.76 | 13 hrs 40 mins |
| 44 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 225,352 | 130,039 | 1.73 | 13 hrs 51 mins |
| 45 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 219,252 | 137,856 | 1.59 | 15 hrs 5 mins |
| 46 | R9 380X/R9 M295X Tonga XT/Amethyst XT [R9 380X/R9 M295X] |
AMD | Tonga XT/Amethyst XT | 207,441 | 118,237 | 1.75 | 13 hrs 41 mins |
| 47 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 194,749 | 125,483 | 1.55 | 15 hrs 28 mins |
| 48 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 190,586 | 124,567 | 1.53 | 15 hrs 41 mins |
| 49 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 113,432 | 109,400 | 1.04 | 23 hrs 9 mins |
| 50 | R7 370/R9 270X/370X Curacao XT/Trinidad XT [R7 370/R9 270X/370X] |
AMD | Curacao XT/Trinidad XT | 105,437 | 102,021 | 1.03 | 23 hrs 13 mins |
| 51 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 77,511 | 93,615 | 0.83 | 28 hrs 59 mins |
| 52 | Radeon PRO WX3100 Lexa XT [Radeon PRO WX3100] |
AMD | Lexa XT | 46,009 | 84,355 | 0.55 | 44 hrs 0 mins |
| 53 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 24,395 | 82,694 | 0.30 | 81 hrs 21 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:27:33|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|