RESEARCH: CANCER
FOLDING PROJECT #18725 PROFILE

PROJECT TEAM

Manager(s): Rafal Wiewiora
Institution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website

WORK UNIT INFO

Atoms: 77,809
Core: 0x22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project studies how a protein called TNF-alpha works in cancer. It can help cancer grow or kill it! Researchers are using computer simulations to understand how TNF-alpha changes shape when it binds to other molecules, and how this affects its ability to fight or fuel 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

Note: Glossary items are a high level summary and may not be 100% accurate.

Tumor necrosis factor

A cytokine involved in regulating immune responses and inflammation.

Scientific: Biopharmaceuticals
Biotechnology / Immunology

Tumor necrosis factor (TNF) is a protein that plays a crucial role in the body's immune system. It helps to fight infections and regulate inflammation. However, too much TNF can contribute to autoimmune diseases like arthritis and Crohn's disease. In cancer, TNF can have both positive and negative effects, promoting tumor growth in some cases while also helping to kill cancer cells in others.


Cytokine

A small protein that is secreted by cells and acts as a signaling molecule.

Scientific: Biopharmaceuticals
Biotechnology / Immunology

Cytokines are tiny proteins used by the immune system to communicate with each other. They act like messengers, telling cells what to do in response to infection or injury. Different cytokines have different effects, some promoting inflammation while others suppress it.


Autoimmune disease

A condition in which the immune system mistakenly attacks the body's own tissues.

Scientific: Biopharmaceuticals
Biotechnology / Immunology

Autoimmune diseases occur when the immune system, which normally protects us from infection, starts attacking our own healthy cells and tissues. This can lead to a wide range of symptoms depending on which organs are affected.


TNF receptor

A protein that binds to TNF and mediates its effects.

Scientific: Biopharmaceuticals
Biotechnology / Immunology

The TNF receptor is a molecule on the surface of cells that binds to tumor necrosis factor (TNF). This binding triggers a cascade of events within the cell, leading to various responses such as inflammation or cell death.


Cancer

Uncontrolled growth and spread of abnormal cells.

Scientific: Biopharmaceuticals
Biotechnology / Oncology

Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells in the body. These cells can invade surrounding tissues and spread to other parts of the body through the bloodstream or lymphatic system.


Angiogenesis

The formation of new blood vessels.

Scientific: Biopharmaceuticals
Biotechnology / Oncology

Angiogenesis is the process by which new blood vessels are formed. It's essential for normal growth and development but can also be hijacked by tumors to supply themselves with nutrients and oxygen.


Inhibitor

A substance that blocks or reduces the activity of another molecule.

Scientific: Biopharmaceuticals
Biotechnology / Pharmacology

Inhibitors are molecules that can block or reduce the activity of other molecules, such as enzymes or receptors. They're widely used in medicine to treat diseases by inhibiting the function of harmful proteins.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:27:19
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 19,628,479 641,228 30.61 0 hrs 47 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 16,920,595 494,625 34.21 0 hrs 42 mins
3 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 12,596,603 884,454 14.24 1 hrs 41 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 12,373,216 704,920 17.55 1 hrs 22 mins
5 RTX 6000 Ada Generation
AD102GL [RTX 6000 Ada Generation]
Nvidia AD102GL 11,131,671 869,462 12.80 1 hrs 52 mins
6 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 10,538,853 845,986 12.46 1 hrs 56 mins
7 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 10,497,080 851,468 12.33 1 hrs 57 mins
8 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 10,331,329 838,890 12.32 1 hrs 57 mins
9 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 10,243,732 419,681 24.41 0 hrs 59 mins
10 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 10,168,592 834,601 12.18 1 hrs 58 mins
11 RTX A6000
GA102GL [RTX A6000]
Nvidia GA102GL 8,735,077 803,125 10.88 2 hrs 12 mins
12 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 8,526,654 790,967 10.78 2 hrs 14 mins
13 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 7,177,995 749,550 9.58 2 hrs 30 mins
14 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 6,713,480 358,159 18.74 1 hrs 17 mins
15 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 6,380,575 715,322 8.92 2 hrs 41 mins
16 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,168,403 681,004 9.06 2 hrs 39 mins
17 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,943,075 704,447 8.44 2 hrs 51 mins
18 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,647,104 200,000 28.24 0 hrs 51 mins
19 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,532,145 682,020 8.11 2 hrs 58 mins
20 RTX 4000 SFF Ada Generation
AD104GL [RTX 4000 SFF Ada Generation]
Nvidia AD104GL 5,237,201 684,068 7.66 3 hrs 8 mins
21 TITAN RTX
TU102 [TITAN RTX] 16310
Nvidia TU102 5,190,359 675,809 7.68 3 hrs 7 mins
22 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,491,986 643,022 6.99 3 hrs 26 mins
23 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 4,205,583 619,314 6.79 3 hrs 32 mins
24 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 4,184,790 587,000 7.13 3 hrs 22 mins
25 RTX A4500
GA102GL [RTX A4500]
Nvidia GA102GL 4,055,055 567,024 7.15 3 hrs 21 mins
26 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 4,046,045 499,266 8.10 2 hrs 58 mins
27 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,991,397 530,680 7.52 3 hrs 11 mins
28 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,987,843 619,104 6.44 3 hrs 44 mins
29 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 3,952,903 617,470 6.40 3 hrs 45 mins
30 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 3,875,783 435,704 8.90 2 hrs 42 mins
31 GeForce RTX 4060 Max-Q / Mobile
AD107M [GeForce RTX 4060 Max-Q / Mobile]
Nvidia AD107M 3,810,248 610,709 6.24 3 hrs 51 mins
32 GeForce RTX 3080 Ti Mobile
GA103M [GeForce RTX 3080 Ti Mobile]
Nvidia GA103M 3,616,668 558,985 6.47 3 hrs 43 mins
33 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 3,603,489 590,920 6.10 3 hrs 56 mins
34 RTX A4000
GA104GL [RTX A4000]
Nvidia GA104GL 3,510,669 586,391 5.99 4 hrs 1 mins
35 GeForce RTX 4070 Max-Q / Mobile
AD106M [GeForce RTX 4070 Max-Q / Mobile]
Nvidia AD106M 3,473,688 508,080 6.84 3 hrs 31 mins
36 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,472,879 585,269 5.93 4 hrs 3 mins
37 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 3,202,327 570,405 5.61 4 hrs 16 mins
38 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,957,175 563,144 5.25 4 hrs 34 mins
39 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,638,960 539,491 4.89 4 hrs 54 mins
40 Quadro RTX 6000/8000
TU102GL [Quadro RTX 6000/8000]
Nvidia TU102GL 2,497,194 537,000 4.65 5 hrs 10 mins
41 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,412,175 524,021 4.60 5 hrs 13 mins
42 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,780,479 482,289 3.69 6 hrs 30 mins
43 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,730,034 504,943 3.43 7 hrs 0 mins
44 GeForce RTX 4050 Max-Q / Mobile
AD107M [GeForce RTX 4050 Max-Q / Mobile]
Nvidia AD107M 1,677,609 421,973 3.98 6 hrs 2 mins
45 RTX A2000 12GB
GA106 [RTX A2000 12GB]
Nvidia GA106 1,603,178 459,502 3.49 6 hrs 53 mins
46 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,537,566 260,336 5.91 4 hrs 4 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:27:19
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make