PROJECT #18714 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: 67,342

Core: 0x22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Saturday, 28 January 2023 00:14:36

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 2 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 2 hrs 49 mins
6 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 4,648,558 357,855 12.99 2 hrs 51 mins
7 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 4,541,197 314,086 14.46 2 hrs 40 mins
8 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 4,438,476 348,771 12.73 2 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 3 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 3 hrs 38 mins
14 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 2,584,679 290,003 8.91 3 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 3 hrs 45 mins
16 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,361,227 288,354 8.19 3 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 4 hrs 31 mins
21 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,679,589 256,340 6.55 4 hrs 40 mins
22 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 1,477,126 238,295 6.20 4 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 5 hrs 52 mins
27 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,102,121 224,872 4.90 5 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 6 hrs 37 mins
32 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 873,082 207,025 4.22 6 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 7 hrs 55 mins
35 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 700,584 192,421 3.64 7 hrs 36 mins
36 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
Navi 14 481,312 175,348 2.74 9 hrs 45 mins
37 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 474,464 168,817 2.81 9 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 11 hrs 31 mins
41 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
Ellesmere XT 349,476 159,202 2.20 11 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 14 hrs 40 mins
44 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 225,352 130,039 1.73 14 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 14 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]
Polaris 22 XL 190,586 124,567 1.53 16 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 29 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

PPDDB data as of Saturday, 28 January 2023 00:14:36

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