RESEARCH: CANCER
FOLDING PROJECT #18117 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 25,000Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies KRas, a protein that controls cell growth and is often mutated in cancer. Scientists are using computer simulations to understand how drugs can block KRas activity and treat these cancers. All data and findings will be publicly available.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
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.
RELATED TERMS GLOSSARY AI BETA
KRas
A protein that plays a crucial role in cell growth and division.
KRas is a protein found within cells that acts as a molecular switch controlling cell growth. When active, it signals for cells to divide; however, mutations in KRas can cause it to remain constantly 'on,' leading to uncontrolled cell growth and cancer.
GDP
Guanosine Diphosphate
GDP is a molecule that binds to KRas, keeping it in an inactive state. When GDP is replaced with GTP, KRas becomes active and signals for cell growth.
GTP
Guanosine Triphosphate
GTP is a molecule that binds to KRas, activating it and triggering cell growth signaling. When GTP is broken down into GDP, KRas returns to its inactive state.
Protein
A large biomolecule composed of amino acids.
Proteins are essential building blocks and functional units within cells. They perform diverse roles, including catalyzing reactions, transporting molecules, and providing structural support.
Cancer
A disease characterized by uncontrolled cell growth and spread.
Cancer is a group of diseases where abnormal cells divide uncontrollably, invading surrounding tissues and potentially spreading to other parts of the body. It arises from genetic mutations that disrupt normal cell growth regulation.
Inhibitor
A substance that blocks or reduces the activity of a particular molecule.
Inhibitors are molecules designed to interfere with the function of specific targets, such as proteins involved in disease pathways. They are commonly used in drug development to treat various conditions.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:32:04|
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 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 2,739,226 | 121,870 | 22.48 | 1 hrs 4 mins |
| 2 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 2,597,189 | 117,531 | 22.10 | 1 hrs 5 mins |
| 3 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 2,593,766 | 118,406 | 21.91 | 1 hrs 6 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 2,536,774 | 119,443 | 21.24 | 1 hrs 8 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 2,457,504 | 118,065 | 20.81 | 1 hrs 9 mins |
| 6 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,447,693 | 118,298 | 20.69 | 1 hrs 10 mins |
| 7 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,275,405 | 115,747 | 19.66 | 1 hrs 13 mins |
| 8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 2,244,187 | 115,021 | 19.51 | 1 hrs 14 mins |
| 9 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,124,631 | 112,935 | 18.81 | 1 hrs 17 mins |
| 10 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,083,670 | 111,103 | 18.75 | 1 hrs 17 mins |
| 11 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,059,798 | 111,976 | 18.39 | 1 hrs 18 mins |
| 12 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,033,659 | 111,358 | 18.26 | 1 hrs 19 mins |
| 13 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 1,940,493 | 109,577 | 17.71 | 1 hrs 21 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,877,205 | 107,402 | 17.48 | 1 hrs 22 mins |
| 15 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 1,863,011 | 108,152 | 17.23 | 1 hrs 24 mins |
| 16 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 1,836,528 | 103,969 | 17.66 | 1 hrs 22 mins |
| 17 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 1,795,852 | 104,295 | 17.22 | 1 hrs 24 mins |
| 18 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 1,734,548 | 102,137 | 16.98 | 1 hrs 25 mins |
| 19 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 1,718,299 | 104,944 | 16.37 | 1 hrs 28 mins |
|
|
|||||||
| 20 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,491,875 | 100,333 | 14.87 | 1 hrs 37 mins |
| 21 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,445,245 | 99,212 | 14.57 | 1 hrs 39 mins |
| 22 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,336,693 | 94,124 | 14.20 | 1 hrs 41 mins |
| 23 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,277,790 | 95,399 | 13.39 | 1 hrs 48 mins |
| 24 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 1,241,854 | 90,097 | 13.78 | 1 hrs 44 mins |
| 25 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,207,406 | 91,021 | 13.27 | 1 hrs 49 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,193,302 | 91,458 | 13.05 | 1 hrs 50 mins |
| 27 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,192,698 | 92,000 | 12.96 | 1 hrs 51 mins |
| 28 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,150,151 | 92,273 | 12.46 | 1 hrs 56 mins |
| 29 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,144,333 | 90,568 | 12.64 | 1 hrs 54 mins |
| 30 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,121,033 | 91,373 | 12.27 | 1 hrs 57 mins |
| 31 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550 |
Nvidia | TU106M | 1,031,702 | 88,731 | 11.63 | 2 hrs 4 mins |
| 32 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 965,371 | 85,497 | 11.29 | 2 hrs 8 mins |
| 33 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 962,144 | 85,909 | 11.20 | 2 hrs 9 mins |
| 34 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 961,149 | 85,617 | 11.23 | 2 hrs 8 mins |
| 35 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 840,588 | 82,996 | 10.13 | 2 hrs 22 mins |
| 36 | RTX A2000 Mobile GA107GLM [RTX A2000 Mobile] |
Nvidia | GA107GLM | 795,058 | 81,864 | 9.71 | 2 hrs 28 mins |
| 37 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 724,520 | 78,546 | 9.22 | 2 hrs 36 mins |
| 38 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 690,882 | 77,724 | 8.89 | 2 hrs 42 mins |
| 39 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 667,313 | 76,251 | 8.75 | 2 hrs 45 mins |
|
|
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| 40 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 665,020 | 76,690 | 8.67 | 2 hrs 46 mins |
| 41 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 641,762 | 75,798 | 8.47 | 2 hrs 50 mins |
| 42 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 632,489 | 74,151 | 8.53 | 2 hrs 49 mins |
| 43 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 598,008 | 74,506 | 8.03 | 2 hrs 59 mins |
| 44 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 592,649 | 71,427 | 8.30 | 2 hrs 54 mins |
| 45 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 566,116 | 72,820 | 7.77 | 3 hrs 5 mins |
| 46 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 544,214 | 71,909 | 7.57 | 3 hrs 10 mins |
| 47 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 519,522 | 70,189 | 7.40 | 3 hrs 15 mins |
| 48 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 435,273 | 65,738 | 6.62 | 3 hrs 37 mins |
| 49 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 434,070 | 66,819 | 6.50 | 3 hrs 42 mins |
| 50 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 336,984 | 61,526 | 5.48 | 4 hrs 23 mins |
| 51 | Tesla K20C GK110 [Tesla K20C] 3524 |
Nvidia | GK110 | 334,500 | 57,809 | 5.79 | 4 hrs 9 mins |
| 52 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 324,820 | 60,636 | 5.36 | 4 hrs 29 mins |
| 53 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 243,374 | 54,919 | 4.43 | 5 hrs 25 mins |
| 54 | GeForce GTX 670/GTX 760Ti OEM GK104 [GeForce GTX 670/GTX 760Ti OEM] 2634 |
Nvidia | GK104 | 240,645 | 55,008 | 4.37 | 5 hrs 29 mins |
| 55 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 223,795 | 53,414 | 4.19 | 5 hrs 44 mins |
| 56 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 223,680 | 53,482 | 4.18 | 5 hrs 44 mins |
| 57 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 221,879 | 52,668 | 4.21 | 5 hrs 42 mins |
| 58 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 186,066 | 50,320 | 3.70 | 6 hrs 29 mins |
| 59 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 175,059 | 49,173 | 3.56 | 6 hrs 44 mins |
|
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| 60 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 170,693 | 48,799 | 3.50 | 6 hrs 52 mins |
| 61 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 126,342 | 44,109 | 2.86 | 8 hrs 23 mins |
| 62 | GeForce GTX 690 GK104 [GeForce GTX 690] 3130 |
Nvidia | GK104 | 118,651 | 42,766 | 2.77 | 8 hrs 39 mins |
| 63 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 101,114 | 40,474 | 2.50 | 9 hrs 36 mins |
| 64 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 76,149 | 37,293 | 2.04 | 11 hrs 45 mins |
| 65 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 64,327 | 34,524 | 1.86 | 12 hrs 53 mins |
| 66 | GTX 650 Ti Boost GK106 [GTX 650 Ti Boost] |
Nvidia | GK106 | 51,541 | 31,448 | 1.64 | 14 hrs 39 mins |
| 67 | GeForce 940MX GM108M [GeForce 940MX] |
Nvidia | GM108M | 48,740 | 32,160 | 1.52 | 15 hrs 50 mins |
| 68 | GeForce 940M GM108 [GeForce 940M] |
Nvidia | GM108 | 42,188 | 29,950 | 1.41 | 17 hrs 2 mins |
| 69 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 41,937 | 30,591 | 1.37 | 17 hrs 30 mins |
| 70 | GeForce GTX 460 v2 GF114 [GeForce GTX 460 v2] 1045.6 |
Nvidia | GF114 | 31,608 | 27,895 | 1.13 | 21 hrs 11 mins |
| 71 | GeForce GT 640 GK107 [GeForce GT 640] 693 |
Nvidia | GK107 | 19,788 | 21,619 | 0.92 | 26 hrs 13 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:32:04|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|