PROJECT #18039 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: 130,000
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 16 May 2022 12:52:30
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 | 7,539,251 | 868,367 | 8.68 | 3 hrs 46 mins |
2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,566,231 | 820,217 | 8.01 | 3 hrs 60 mins |
3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,165,239 | 809,629 | 7.61 | 3 hrs 9 mins |
4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,028,034 | 789,893 | 7.63 | 3 hrs 9 mins |
5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,247,254 | 767,751 | 6.83 | 4 hrs 31 mins |
6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,514,647 | 737,020 | 6.13 | 4 hrs 55 mins |
7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,423,313 | 731,526 | 6.05 | 4 hrs 58 mins |
8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,091,424 | 706,643 | 5.79 | 4 hrs 9 mins |
9 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 3,852,837 | 699,022 | 5.51 | 4 hrs 21 mins |
10 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,713,119 | 674,287 | 5.51 | 4 hrs 21 mins |
11 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,493,920 | 664,452 | 5.26 | 5 hrs 34 mins |
12 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,031,309 | 532,799 | 5.69 | 4 hrs 13 mins |
13 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,736,790 | 614,213 | 4.46 | 5 hrs 23 mins |
14 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,729,781 | 626,587 | 4.36 | 6 hrs 31 mins |
15 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,477,998 | 592,385 | 4.18 | 6 hrs 44 mins |
16 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,271,649 | 581,597 | 3.91 | 6 hrs 9 mins |
17 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,178,399 | 571,883 | 3.81 | 6 hrs 18 mins |
18 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,134,038 | 584,028 | 3.65 | 7 hrs 34 mins |
19 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,019,470 | 570,926 | 3.54 | 7 hrs 47 mins |
20 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,956,674 | 541,645 | 3.61 | 7 hrs 39 mins |
21 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,855,736 | 549,887 | 3.37 | 7 hrs 7 mins |
22 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,787,727 | 536,098 | 3.33 | 7 hrs 12 mins |
23 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,647,707 | 524,738 | 3.14 | 8 hrs 39 mins |
24 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,500,167 | 505,161 | 2.97 | 8 hrs 5 mins |
25 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,469,241 | 510,185 | 2.88 | 8 hrs 20 mins |
26 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,279,673 | 478,554 | 2.67 | 9 hrs 59 mins |
27 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,136,675 | 478,058 | 2.38 | 10 hrs 6 mins |
28 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,102,565 | 470,778 | 2.34 | 10 hrs 15 mins |
29 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,053,367 | 458,089 | 2.30 | 10 hrs 26 mins |
30 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,038,821 | 447,802 | 2.32 | 10 hrs 21 mins |
31 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 974,501 | 448,113 | 2.17 | 11 hrs 2 mins |
32 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 954,446 | 499,889 | 1.91 | 13 hrs 34 mins |
33 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 928,292 | 429,974 | 2.16 | 11 hrs 7 mins |
34 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 867,282 | 375,723 | 2.31 | 10 hrs 24 mins |
35 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 866,257 | 454,623 | 1.91 | 13 hrs 36 mins |
36 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 861,380 | 448,034 | 1.92 | 12 hrs 29 mins |
37 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 846,135 | 419,150 | 2.02 | 12 hrs 53 mins |
38 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 713,703 | 394,849 | 1.81 | 13 hrs 17 mins |
39 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 564,572 | 365,476 | 1.54 | 16 hrs 32 mins |
40 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 451,827 | 356,431 | 1.27 | 19 hrs 56 mins |
41 | T600 TU117GL [T600] |
Intel | TU117GL | 288,958 | 293,288 | 0.99 | 24 hrs 22 mins |
42 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 220,730 | 320,315 | 0.69 | 35 hrs 50 mins |
43 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 183,268 | 245,464 | 0.75 | 32 hrs 9 mins |
44 | Radeon R9 200 Series Hawaii [Radeon R9 200 Series] |
AMD | Hawaii | 111,953 | 241,000 | 0.46 | 52 hrs 40 mins |
45 | Radeon WX 3100 [Radeon WX 3100] |
AMD | 101,651 | 241,000 | 0.42 | 57 hrs 54 mins | |
46 | Radeon R7/R6/R5 Series Carrizo [Radeon R7/R6/R5 Series] |
AMD | Carrizo | 34,111 | 241,000 | 0.14 | 170 hrs 34 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 16 May 2022 12:52:30
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|
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