PROJECT #18036 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: 70,000
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Tuesday, 07 February 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 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 5,623,552 | 433,521 | 12.97 | 2 hrs 51 mins |
2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 5,173,501 | 416,822 | 12.41 | 2 hrs 56 mins |
3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,870,450 | 408,952 | 11.91 | 2 hrs 1 mins |
4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,857,206 | 411,241 | 11.81 | 2 hrs 2 mins |
5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,297,649 | 387,943 | 11.08 | 2 hrs 10 mins |
6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,757,094 | 376,829 | 9.97 | 2 hrs 24 mins |
7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,603,773 | 371,424 | 9.70 | 2 hrs 28 mins |
8 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,267,554 | 357,029 | 9.15 | 3 hrs 37 mins |
9 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,155,090 | 353,389 | 8.93 | 3 hrs 41 mins |
10 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,052,633 | 346,371 | 8.81 | 3 hrs 43 mins |
11 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 3,047,361 | 351,876 | 8.66 | 3 hrs 46 mins |
12 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,933,856 | 345,369 | 8.49 | 3 hrs 50 mins |
13 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,309,651 | 320,679 | 7.20 | 3 hrs 20 mins |
14 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,211,835 | 316,486 | 6.99 | 3 hrs 26 mins |
15 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,164,249 | 314,208 | 6.89 | 3 hrs 29 mins |
16 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,128,167 | 301,436 | 7.06 | 3 hrs 24 mins |
17 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,995,662 | 307,317 | 6.49 | 4 hrs 42 mins |
18 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 1,974,067 | 303,878 | 6.50 | 4 hrs 42 mins |
19 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,747,060 | 294,243 | 5.94 | 4 hrs 3 mins |
20 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,665,258 | 284,148 | 5.86 | 4 hrs 6 mins |
21 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,533,237 | 280,383 | 5.47 | 4 hrs 23 mins |
22 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,505,529 | 277,887 | 5.42 | 4 hrs 26 mins |
23 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 1,439,261 | 273,193 | 5.27 | 5 hrs 33 mins |
24 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,310,557 | 263,008 | 4.98 | 5 hrs 49 mins |
25 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,248,819 | 261,255 | 4.78 | 5 hrs 1 mins |
26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,082,538 | 250,679 | 4.32 | 6 hrs 33 mins |
27 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,033,075 | 243,263 | 4.25 | 6 hrs 39 mins |
28 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 957,839 | 244,254 | 3.92 | 6 hrs 7 mins |
29 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 859,556 | 236,641 | 3.63 | 7 hrs 36 mins |
30 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 812,403 | 220,318 | 3.69 | 7 hrs 31 mins |
31 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 744,859 | 208,744 | 3.57 | 7 hrs 44 mins |
32 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 715,896 | 212,595 | 3.37 | 7 hrs 8 mins |
33 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 689,102 | 213,163 | 3.23 | 7 hrs 25 mins |
34 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 580,139 | 206,919 | 2.80 | 9 hrs 34 mins |
35 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 505,293 | 200,151 | 2.52 | 10 hrs 30 mins |
36 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 494,097 | 187,340 | 2.64 | 9 hrs 6 mins |
37 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 363,291 | 173,276 | 2.10 | 11 hrs 27 mins |
38 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 345,185 | 170,137 | 2.03 | 12 hrs 50 mins |
39 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 311,464 | 163,811 | 1.90 | 13 hrs 37 mins |
40 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 254,690 | 156,103 | 1.63 | 15 hrs 43 mins |
41 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 221,420 | 146,335 | 1.51 | 16 hrs 52 mins |
42 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 180,401 | 136,814 | 1.32 | 18 hrs 12 mins |
43 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 81,737 | 101,323 | 0.81 | 30 hrs 45 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Tuesday, 07 February 2023 06:14:51
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|