PROJECT #18126 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: 36,000

Core: 0x22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Wednesday, 30 November 2022 06:13:32

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 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 3,800,064 183,906 20.66 1 hrs 10 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 3,681,965 184,493 19.96 1 hrs 12 mins
3 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 3,681,623 183,873 20.02 1 hrs 12 mins
4 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 3,675,427 185,211 19.84 1 hrs 13 mins
5 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 3,581,383 159,606 22.44 1 hrs 4 mins
6 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 3,387,558 180,787 18.74 1 hrs 17 mins
7 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 3,233,092 175,916 18.38 1 hrs 18 mins
8 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 2,970,697 171,172 17.36 1 hrs 23 mins
9 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 2,947,846 171,565 17.18 1 hrs 24 mins
10 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 2,747,609 167,335 16.42 1 hrs 28 mins
11 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 2,664,905 165,526 16.10 1 hrs 29 mins
12 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 2,657,012 166,684 15.94 2 hrs 30 mins
13 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 2,432,927 160,072 15.20 2 hrs 35 mins
14 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 2,353,868 159,028 14.80 2 hrs 37 mins
15 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 2,167,416 156,706 13.83 2 hrs 44 mins
16 TITAN X
GP102 [TITAN X] 6144
Nvidia GP102 2,165,572 155,642 13.91 2 hrs 43 mins
17 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,108,302 152,639 13.81 2 hrs 44 mins
18 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 1,936,596 149,419 12.96 2 hrs 51 mins
19 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 1,882,037 145,580 12.93 2 hrs 51 mins
20 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 1,794,180 143,717 12.48 2 hrs 55 mins
21 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 1,788,410 145,797 12.27 2 hrs 57 mins
22 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,722,514 142,952 12.05 2 hrs 60 mins
23 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 1,540,646 138,717 11.11 2 hrs 10 mins
24 Tesla P100 16GB
GP100GL [Tesla P100 16GB] 9340
Nvidia GP100GL 1,539,128 138,742 11.09 2 hrs 10 mins
25 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,486,340 137,198 10.83 2 hrs 13 mins
26 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 1,422,288 135,606 10.49 2 hrs 17 mins
27 Geforce RTX 3070 Ti Laptop GPU
GA104 [Geforce RTX 3070 Ti Laptop GPU]
Nvidia GA104 1,387,445 110,874 12.51 2 hrs 55 mins
28 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 1,327,491 130,124 10.20 2 hrs 21 mins
29 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 1,242,833 128,949 9.64 2 hrs 29 mins
30 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,187,897 125,164 9.49 3 hrs 32 mins
31 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,093,417 119,189 9.17 3 hrs 37 mins
32 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,086,168 118,242 9.19 3 hrs 37 mins
33 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,050,688 122,227 8.60 3 hrs 48 mins
34 GeForce GTX Titan X
GM200 [GeForce GTX Titan X] 6144
Nvidia GM200 1,032,879 121,570 8.50 3 hrs 49 mins
35 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,017,853 121,199 8.40 3 hrs 51 mins
36 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,014,636 120,767 8.40 3 hrs 51 mins
37 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 977,149 115,642 8.45 3 hrs 50 mins
38 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 909,388 104,370 8.71 3 hrs 45 mins
39 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 900,008 106,334 8.46 3 hrs 50 mins
40 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 872,863 114,918 7.60 3 hrs 10 mins
41 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 845,325 107,362 7.87 3 hrs 3 mins
42 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 835,007 108,424 7.70 3 hrs 7 mins
43 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 790,622 110,547 7.15 3 hrs 21 mins
44 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 696,678 106,016 6.57 4 hrs 39 mins
45 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 677,208 105,951 6.39 4 hrs 45 mins
46 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 598,324 101,318 5.91 4 hrs 4 mins
47 P106-100
GP106 [P106-100]
Nvidia GP106 596,101 103,067 5.78 4 hrs 9 mins
48 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 589,828 100,827 5.85 4 hrs 6 mins
49 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 541,808 97,733 5.54 4 hrs 20 mins
50 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 522,239 97,893 5.33 4 hrs 30 mins
51 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 426,966 90,836 4.70 5 hrs 6 mins
52 GeForce GTX 980M
GM204 [GeForce GTX 980M] 3189
Nvidia GM204 348,272 82,340 4.23 6 hrs 40 mins
53 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 340,040 85,264 3.99 6 hrs 1 mins
54 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 319,076 83,235 3.83 6 hrs 16 mins
55 P106-090
GP106 [P106-090]
Nvidia GP106 293,144 79,796 3.67 7 hrs 32 mins
56 Quadro M4000
GM204GL [Quadro M4000]
Nvidia GM204GL 291,036 79,560 3.66 7 hrs 34 mins
57 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 258,324 73,919 3.49 7 hrs 52 mins
58 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 239,896 69,316 3.46 7 hrs 56 mins
59 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 220,870 72,126 3.06 8 hrs 50 mins
60 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 209,132 74,735 2.80 9 hrs 35 mins
61 Quadro M2000
GM206GL [Quadro M2000]
Nvidia GM206GL 196,393 68,661 2.86 8 hrs 23 mins
62 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 126,281 60,707 2.08 12 hrs 32 mins
63 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 108,798 58,023 1.88 13 hrs 48 mins
64 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 105,907 61,155 1.73 14 hrs 52 mins
65 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 102,466 56,231 1.82 13 hrs 10 mins
66 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 68,497 49,362 1.39 17 hrs 18 mins
67 GeForce GTX 660
GK106 [GeForce GTX 660] 1981
Nvidia GK106 52,344 51,847 1.01 24 hrs 46 mins
68 Quadro P400
GP107GL [Quadro P400]
Nvidia GP107GL 45,346 42,898 1.06 23 hrs 42 mins
69 Quadro K620
GM107GL [Quadro K620]
Nvidia GM107GL 37,194 45,106 0.82 29 hrs 6 mins
70 Quadro K600
GK107 [Quadro K600]
Nvidia GK107 34,323 34,323 1.00 24 hrs 0 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Wednesday, 30 November 2022 06:13:32

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