PROJECT #18715 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

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.

PROJECT INFO

Manager(s): Rafal Wiewiora

Institution: Roivant Sciences (Silicon Therapeutics)

Project URL: roivant.com

PROJECT WORK UNIT SUMMARY

Atoms: 114,420

Core: 0x22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Monday, 20 March 2023 06:14:51

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 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 35,623,969 831,321 42.85 0 hrs 34 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 10,972,263 855,987 12.82 2 hrs 52 mins
3 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 10,595,533 857,784 12.35 2 hrs 57 mins
4 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 6,113,530 690,374 8.86 3 hrs 43 mins
5 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 5,700,979 698,438 8.16 3 hrs 56 mins
6 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,530,584 691,098 8.00 3 hrs 60 mins
7 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 5,436,569 680,575 7.99 3 hrs 0 mins
8 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 5,184,316 673,596 7.70 3 hrs 7 mins
9 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 4,484,123 644,841 6.95 3 hrs 27 mins
10 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,483,479 648,637 6.91 3 hrs 28 mins
11 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 3,919,555 615,773 6.37 4 hrs 46 mins
12 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,910,125 613,738 6.37 4 hrs 46 mins
13 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 3,576,084 604,679 5.91 4 hrs 3 mins
14 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 2,879,720 557,063 5.17 5 hrs 39 mins
15 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,302,752 500,817 4.60 5 hrs 13 mins
16 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 2,189,783 524,033 4.18 6 hrs 45 mins
17 Geforce RTX 3070 Ti Laptop GPU
GA104 [Geforce RTX 3070 Ti Laptop GPU]
Nvidia GA104 2,056,203 505,225 4.07 6 hrs 54 mins
18 RTX A4000
GA104GL [RTX A4000]
Nvidia GA104GL 2,025,565 498,533 4.06 6 hrs 54 mins
19 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 1,942,042 489,188 3.97 6 hrs 3 mins
20 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,906,997 485,242 3.93 6 hrs 6 mins
21 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,888,065 482,560 3.91 6 hrs 8 mins
22 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,583,918 463,075 3.42 7 hrs 1 mins
23 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 1,560,177 453,565 3.44 7 hrs 59 mins
24 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,491,148 447,268 3.33 7 hrs 12 mins
25 RTX A2000
GA106 [RTX A2000]
GA106 1,083,544 404,074 2.68 9 hrs 57 mins
26 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,078,394 415,711 2.59 9 hrs 15 mins
27 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,050,942 391,508 2.68 9 hrs 56 mins
28 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 992,284 398,834 2.49 10 hrs 39 mins
29 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 991,229 389,254 2.55 9 hrs 25 mins
30 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 918,770 379,012 2.42 10 hrs 54 mins
31 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 784,036 395,089 1.98 12 hrs 6 mins
32 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 523,560 316,020 1.66 14 hrs 29 mins
33 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 519,652 343,962 1.51 16 hrs 53 mins
34 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 448,706 299,199 1.50 16 hrs 0 mins
35 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 434,437 318,988 1.36 18 hrs 37 mins
36 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
Ellesmere XT 426,595 296,584 1.44 17 hrs 41 mins
37 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 253,303 250,054 1.01 24 hrs 42 mins
38 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 222,596 236,499 0.94 25 hrs 30 mins
39 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
Polaris 22 XL 183,734 222,289 0.83 29 hrs 2 mins
40 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 180,395 264,186 0.68 35 hrs 9 mins
41 R7 370/R9 270X/370X
Curacao XT/Trinidad XT [R7 370/R9 270X/370X]
AMD Curacao XT/Trinidad XT 120,783 200,000 0.60 40 hrs 44 mins
42 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 105,858 200,000 0.53 45 hrs 21 mins
43 Radeon 540/540X/550/550X/RX 540X/550/550X
Lexa PRO [Radeon 540/540X/550/550X/RX 540X/550/550X]
AMD Lexa PRO 81,867 200,000 0.41 59 hrs 38 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Monday, 20 March 2023 06:14:51

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make