PROJECT #18038 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

We are simulating publicly available protein and small molecule structures of the currently very hot cancer target KRas, see https://www.fiercepharma.com/pharma/amgen-s-lumakras-becomes-first-fda-approved-kras-inhibitor-for-lung-cancer-patients for recent developments.

Folding@home has previously looked at this protein (in project 10490), and the following part of the description is copied from there: This project is "studying a small protein called KRAS, which forms a key link in growth signaling and cancer.

This gene is something like a molecular switch with a timer.

When it is bound to a molecule called GDP, it is off, and does not signal that the cell should grow.

However, other proteins can cause it to swap its GDP for a GTP, turning KRAS on.

In the on state, it signals that the cell should grow and divide.

Normally, after some time, KRAS, with the aid of some partners, will chemically convert its GTP to GDP and return to its inactive state. In many cancers, this protein becomes mutated, and cannot return to its off state.

The result? The cells continue to divide without limit.

What’s worse, cancers with this protein mutated tend to have much poorer prognoses.

As a result, scientists have been trying to target this protein for decades." We are investigating the dynamic behavior of KRas with these publicly disclosed inhibitors so that we can apply this knowledge to our own drug design.

At the same time, we are further testing the adaptive sampling methodology.

All data is being made publicly available at https://console.cloud.google.com/storage/browser/stxfah-bucket, and insights from methodology developments will be shared.

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: 110,000

Core: OPENMM_22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Sunday, 22 May 2022 15:22:31

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 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 6,453,729 571,681 11.29 2 hrs 8 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 4,905,296 525,746 9.33 3 hrs 34 mins
3 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 4,809,843 527,671 9.12 3 hrs 38 mins
4 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 4,595,635 520,569 8.83 3 hrs 43 mins
5 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 3,910,415 485,871 8.05 3 hrs 59 mins
6 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 3,541,094 480,105 7.38 3 hrs 15 mins
7 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,372,671 470,684 7.17 3 hrs 21 mins
8 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 3,039,525 445,158 6.83 4 hrs 31 mins
9 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 2,890,058 449,281 6.43 4 hrs 44 mins
10 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 2,805,326 436,725 6.42 4 hrs 44 mins
11 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 2,671,064 425,104 6.28 4 hrs 49 mins
12 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,114,339 405,305 5.22 5 hrs 36 mins
13 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,088,270 401,634 5.20 5 hrs 37 mins
14 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,019,409 381,295 5.30 5 hrs 32 mins
15 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 1,807,226 384,774 4.70 5 hrs 7 mins
16 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,748,993 381,860 4.58 5 hrs 14 mins
17 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 1,730,028 367,593 4.71 5 hrs 6 mins
18 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 1,714,935 376,325 4.56 5 hrs 16 mins
19 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,577,737 368,983 4.28 6 hrs 37 mins
20 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 1,509,624 359,820 4.20 6 hrs 43 mins
21 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,453,718 362,505 4.01 6 hrs 59 mins
22 Radeon RX 6700/6700 XT / 6800M
Navi 22 [Radeon RX 6700/6700 XT / 6800M]
AMD Navi 22 1,383,485 349,715 3.96 6 hrs 4 mins
23 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 1,376,947 341,323 4.03 6 hrs 57 mins
24 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,302,984 349,131 3.73 6 hrs 26 mins
25 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,014,359 314,133 3.23 7 hrs 26 mins
26 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,009,305 313,361 3.22 7 hrs 27 mins
27 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 938,219 310,919 3.02 8 hrs 57 mins
28 Radeon RX 5600 OEM/5600 XT/5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]
AMD Navi 10 910,028 309,508 2.94 8 hrs 10 mins
29 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 901,833 301,237 2.99 8 hrs 1 mins
30 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 868,142 305,790 2.84 8 hrs 27 mins
31 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 861,391 298,246 2.89 8 hrs 19 mins
32 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 822,067 298,491 2.75 9 hrs 43 mins
33 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 795,152 292,427 2.72 9 hrs 50 mins
34 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 768,618 286,464 2.68 9 hrs 57 mins
35 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 569,535 257,262 2.21 11 hrs 50 mins
36 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 563,281 259,393 2.17 11 hrs 3 mins
37 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 554,562 272,732 2.03 12 hrs 48 mins
38 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 488,157 251,628 1.94 12 hrs 22 mins
39 Radeon R9 Fury X
Fiji XT [Radeon R9 Fury X]
AMD Fiji XT 422,682 203,513 2.08 12 hrs 33 mins
40 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 404,962 239,709 1.69 14 hrs 12 mins
41 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 382,839 237,343 1.61 15 hrs 53 mins
42 GeForce GTX 980M
GM204 [GeForce GTX 980M] 3189
Nvidia GM204 361,135 223,467 1.62 15 hrs 51 mins
43 Radeon RX 5500/5500M / Pro 5500M
Navi 14 [Radeon RX 5500/5500M / Pro 5500M]
AMD Navi 14 357,809 222,462 1.61 15 hrs 55 mins
44 Radeon RX 6600/6600 XT/6600M
Navi 23 [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 355,993 222,493 1.60 15 hrs 60 mins
45 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 341,545 216,909 1.57 15 hrs 15 mins
46 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 320,050 214,668 1.49 16 hrs 6 mins
47 P106-090
GP106 [P106-090]
Nvidia GP106 308,588 212,181 1.45 17 hrs 30 mins
48 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 270,114 217,714 1.24 19 hrs 21 mins
49 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 260,729 198,442 1.31 18 hrs 16 mins
50 T600
TU117GL [T600]
Intel TU117GL 240,455 195,091 1.23 19 hrs 28 mins
51 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 196,374 180,434 1.09 22 hrs 3 mins
52 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 171,229 173,788 0.99 24 hrs 22 mins
53 Radeon RX 6400 / 6500 XT
Navi 24 [Radeon RX 6400 / 6500 XT]
AMD Navi 24 162,482 171,020 0.95 25 hrs 16 mins
54 Radeon RX Vega M XL
[Radeon RX Vega M XL]
AMD Vega 160,219 168,749 0.95 25 hrs 17 mins
55 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 146,326 163,677 0.89 27 hrs 51 mins
56 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 87,385 144,000 0.61 40 hrs 33 mins
57 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 84,062 144,909 0.58 41 hrs 22 mins
58 Radeon WX 3100
[Radeon WX 3100]
AMD 75,740 144,000 0.53 46 hrs 38 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Sunday, 22 May 2022 15:22:31

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