PROJECT #18123 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: 25,000
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 20 March 2023 12:15:01
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
---|---|---|---|---|---|---|---|
1 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,277,985 | 153,493 | 27.87 | 0 hrs 52 mins |
2 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,316,566 | 124,721 | 18.57 | 1 hrs 18 mins |
3 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,173,080 | 122,541 | 17.73 | 1 hrs 21 mins |
4 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,131,114 | 121,852 | 17.49 | 1 hrs 22 mins |
5 | GeForce RTX 2070 SUPER Mobile / Max-Q TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 1,926,807 | 117,192 | 16.44 | 1 hrs 28 mins |
6 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,867,586 | 116,057 | 16.09 | 1 hrs 29 mins |
7 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,863,762 | 106,769 | 17.46 | 1 hrs 22 mins |
8 | GeForce RTX 2080 Mobile TU104M [GeForce RTX 2080 Mobile] |
Nvidia | TU104M | 1,641,006 | 109,029 | 15.05 | 2 hrs 36 mins |
9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,540,589 | 109,213 | 14.11 | 2 hrs 42 mins |
10 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,423,565 | 106,211 | 13.40 | 2 hrs 47 mins |
11 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,390,773 | 105,424 | 13.19 | 2 hrs 49 mins |
12 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,350,174 | 103,438 | 13.05 | 2 hrs 50 mins |
13 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,321,019 | 103,728 | 12.74 | 2 hrs 53 mins |
14 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,262,781 | 102,756 | 12.29 | 2 hrs 57 mins |
15 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] |
Nvidia | TU106M | 1,212,461 | 100,668 | 12.04 | 2 hrs 60 mins |
16 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,153,793 | 98,348 | 11.73 | 2 hrs 3 mins |
17 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,131,592 | 98,056 | 11.54 | 2 hrs 5 mins |
18 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 999,801 | 93,513 | 10.69 | 2 hrs 15 mins |
19 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 987,131 | 92,249 | 10.70 | 2 hrs 15 mins |
20 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 968,827 | 93,890 | 10.32 | 2 hrs 20 mins |
21 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 839,002 | 89,307 | 9.39 | 3 hrs 33 mins |
22 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 763,361 | 86,311 | 8.84 | 3 hrs 43 mins |
23 | Quadro T1200 Mobile TU117GLM [Quadro T1200 Mobile] |
Nvidia | TU117GLM | 745,045 | 86,232 | 8.64 | 3 hrs 47 mins |
24 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 677,322 | 81,320 | 8.33 | 3 hrs 53 mins |
25 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 642,458 | 81,228 | 7.91 | 3 hrs 2 mins |
26 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 550,371 | 76,732 | 7.17 | 3 hrs 21 mins |
27 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 546,441 | 60,025 | 9.10 | 3 hrs 38 mins |
28 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 526,708 | 76,120 | 6.92 | 3 hrs 28 mins |
29 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 517,879 | 75,359 | 6.87 | 3 hrs 30 mins |
30 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 488,470 | 74,307 | 6.57 | 4 hrs 39 mins |
31 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 485,972 | 74,558 | 6.52 | 4 hrs 41 mins |
32 | GeForce GTX 980M GM204 [GeForce GTX 980M] 3189 |
Nvidia | GM204 | 395,191 | 69,182 | 5.71 | 4 hrs 12 mins |
33 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 354,209 | 67,161 | 5.27 | 5 hrs 33 mins |
34 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 343,940 | 65,083 | 5.28 | 5 hrs 32 mins |
35 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 322,124 | 64,762 | 4.97 | 5 hrs 50 mins |
36 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 281,277 | 62,270 | 4.52 | 5 hrs 19 mins |
37 | T600 TU117GL [T600] |
Intel | TU117GL | 260,885 | 60,390 | 4.32 | 6 hrs 33 mins |
38 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 255,839 | 59,666 | 4.29 | 6 hrs 36 mins |
39 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 241,976 | 58,118 | 4.16 | 6 hrs 46 mins |
40 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 216,188 | 56,743 | 3.81 | 6 hrs 18 mins |
41 | GeForce GTX 780 GK110 [GeForce GTX 780] 3977 |
Nvidia | GK110 | 198,605 | 55,097 | 3.60 | 7 hrs 39 mins |
42 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 143,697 | 49,453 | 2.91 | 8 hrs 16 mins |
43 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 141,660 | 49,320 | 2.87 | 8 hrs 21 mins |
44 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 137,748 | 48,741 | 2.83 | 8 hrs 30 mins |
45 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 132,652 | 48,036 | 2.76 | 9 hrs 41 mins |
46 | GeForce GTX 690 GK104 [GeForce GTX 690] 3130 |
Nvidia | GK104 | 124,037 | 47,255 | 2.62 | 9 hrs 9 mins |
47 | Quadro M2000 GM206GL [Quadro M2000] |
Nvidia | GM206GL | 116,794 | 43,298 | 2.70 | 9 hrs 54 mins |
48 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 116,632 | 46,097 | 2.53 | 9 hrs 29 mins |
49 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 107,853 | 44,953 | 2.40 | 10 hrs 0 mins |
50 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 106,937 | 44,925 | 2.38 | 10 hrs 5 mins |
51 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 105,094 | 44,575 | 2.36 | 10 hrs 11 mins |
52 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 88,523 | 42,119 | 2.10 | 11 hrs 25 mins |
53 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 80,167 | 40,815 | 1.96 | 12 hrs 13 mins |
54 | GTX 650 Ti Boost GK106 [GTX 650 Ti Boost] |
Nvidia | GK106 | 68,325 | 38,893 | 1.76 | 14 hrs 40 mins |
55 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 66,238 | 38,107 | 1.74 | 14 hrs 48 mins |
56 | GeForce 930M GM108 [GeForce 930M] |
Nvidia | GM108 | 37,040 | 31,704 | 1.17 | 21 hrs 33 mins |
57 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 28,840 | 28,144 | 1.02 | 23 hrs 25 mins |
58 | GeForce GT 720 GK208 [GeForce GT 720] |
Nvidia | GK208 | 18,313 | 24,000 | 0.76 | 31 hrs 27 mins |
59 | GeForce GT 710 GK208B [GeForce GT 710] 366 |
Nvidia | GK208B | 17,480 | 24,000 | 0.73 | 33 hrs 57 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 20 March 2023 12:15:01
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|