PROJECT #18722 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: 77,809

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 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 10,187,954 585,790 17.39 1 hrs 23 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 9,889,813 593,705 16.66 1 hrs 26 mins
3 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 8,590,803 539,699 15.92 2 hrs 30 mins
4 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 5,438,986 485,545 11.20 2 hrs 9 mins
5 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 5,391,036 486,275 11.09 2 hrs 10 mins
6 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 5,156,866 477,917 10.79 2 hrs 13 mins
7 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,034,294 474,618 10.61 2 hrs 16 mins
8 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 4,854,584 467,409 10.39 2 hrs 19 mins
9 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 4,716,134 465,388 10.13 2 hrs 22 mins
10 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,233,101 450,467 9.40 3 hrs 33 mins
11 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 3,944,491 438,568 8.99 3 hrs 40 mins
12 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 3,616,476 422,172 8.57 3 hrs 48 mins
13 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 3,405,516 418,271 8.14 3 hrs 57 mins
14 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 2,819,335 390,500 7.22 3 hrs 19 mins
15 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,804,831 388,582 7.22 3 hrs 19 mins
16 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,724,810 385,324 7.07 3 hrs 24 mins
17 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 2,341,524 373,261 6.27 4 hrs 50 mins
18 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,270,905 365,892 6.21 4 hrs 52 mins
19 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 2,228,517 361,991 6.16 4 hrs 54 mins
20 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,203,878 361,941 6.09 4 hrs 56 mins
21 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,871,377 344,505 5.43 4 hrs 25 mins
22 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 1,814,099 339,606 5.34 4 hrs 30 mins
23 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,751,822 334,410 5.24 5 hrs 35 mins
24 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,667,676 328,688 5.07 5 hrs 44 mins
25 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 1,627,581 317,650 5.12 5 hrs 41 mins
26 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 1,494,279 317,192 4.71 5 hrs 6 mins
27 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,492,258 298,634 5.00 5 hrs 48 mins
28 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,382,795 283,959 4.87 5 hrs 56 mins
29 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,380,762 302,665 4.56 5 hrs 16 mins
30 RTX A2000
GA106 [RTX A2000]
GA106 1,223,849 296,952 4.12 6 hrs 49 mins
31 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,185,991 247,578 4.79 5 hrs 1 mins
32 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 1,164,756 291,527 4.00 6 hrs 0 mins
33 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,098,623 304,144 3.61 7 hrs 39 mins
34 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,031,297 281,499 3.66 7 hrs 33 mins
35 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,026,623 280,406 3.66 7 hrs 33 mins
36 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 990,187 277,690 3.57 7 hrs 44 mins
37 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 984,364 278,834 3.53 7 hrs 48 mins
38 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 962,980 288,864 3.33 7 hrs 12 mins
39 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 922,466 278,564 3.31 7 hrs 15 mins
40 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
Navi 10 907,720 269,205 3.37 7 hrs 7 mins
41 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 899,669 291,826 3.08 8 hrs 47 mins
42 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 796,127 257,377 3.09 8 hrs 46 mins
43 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 743,799 252,027 2.95 8 hrs 8 mins
44 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
Navi 14 590,457 232,334 2.54 9 hrs 27 mins
45 R9 Fury X/NANO
Fiji XT [R9 Fury X/NANO]
Fiji XT 490,582 230,426 2.13 11 hrs 16 mins
46 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 449,599 212,852 2.11 11 hrs 22 mins
47 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 360,268 216,968 1.66 14 hrs 27 mins
48 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 329,046 191,955 1.71 14 hrs 0 mins
49 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
Ellesmere XT 275,569 154,119 1.79 13 hrs 25 mins
50 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 226,294 167,734 1.35 18 hrs 47 mins
51 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 196,206 161,683 1.21 20 hrs 47 mins
52 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
Polaris 22 XL 192,674 160,199 1.20 20 hrs 57 mins
53 Tesla K40m
GK110 [Tesla K40m] 5046
Nvidia GK110 189,093 180,794 1.05 23 hrs 57 mins
54 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 149,011 172,627 0.86 28 hrs 48 mins
55 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 99,745 129,021 0.77 31 hrs 3 mins
56 GeForce MX450
TU117M [GeForce MX450]
Nvidia TU117M 97,202 120,410 0.81 30 hrs 44 mins
57 Radeon RX 460/560D
Baffin [Radeon RX 460/560D]
AMD Baffin 96,787 141,499 0.68 35 hrs 5 mins
58 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 83,909 141,256 0.59 40 hrs 24 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