RESEARCH: CANCER
FOLDING PROJECT #18040 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 150,000Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Scientists are using computer simulations to study how a protein called KRas works in cancer cells. KRas is like a switch that controls cell growth, and when it's stuck on, cancer can grow uncontrollably. The project aims to understand how drugs can block KRas and potentially treat cancer. All data and findings will be made 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 involved in cell growth signaling and often mutated in cancer.
KRas is a protein that plays a crucial role in regulating cell growth. It acts like a switch, turning on and off cellular signals that promote division. Mutations in the KRas gene can lead to uncontrolled cell growth, contributing to the development of various cancers.
Inhibitor
A molecule that blocks or reduces the activity of another molecule, such as a protein.
An inhibitor is a substance designed to interfere with the function of a specific target molecule. In drug development, inhibitors are often used to block the activity of proteins involved in disease processes.
GDP
Guanosine diphosphate
GDP is a molecule that plays a role in cellular signaling. It binds to certain proteins, such as KRas, and can regulate their activity.
GTP
Guanosine triphosphate
GTP is a molecule that plays a role in cellular energy transfer and signaling. It binds to certain proteins, such as KRas, and can activate their function.
Mutation
A permanent change in the DNA sequence of a gene.
A mutation is a change in the genetic code that can alter protein function. Mutations can occur spontaneously or be induced by environmental factors. In cancer, mutations in genes like KRas can lead to uncontrolled cell growth.
Prognosis
The likely course or outcome of a disease.
Prognosis refers to the predicted outcome of a disease. In cancer, prognosis considers factors such as tumor stage, type, and patient characteristics to estimate the likelihood of survival and disease progression.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:32:37|
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 | 8,630,929 | 1,024,712 | 8.42 | 2 hrs 51 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,812,692 | 954,636 | 7.14 | 3 hrs 22 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,194,522 | 933,559 | 6.64 | 3 hrs 37 mins |
| 4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,733,559 | 912,105 | 6.29 | 3 hrs 49 mins |
| 5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,080,839 | 852,331 | 5.96 | 4 hrs 2 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,462,218 | 850,949 | 5.24 | 4 hrs 35 mins |
| 7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,410,349 | 842,245 | 5.24 | 4 hrs 35 mins |
| 8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,957,015 | 806,645 | 4.91 | 4 hrs 54 mins |
| 9 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 3,778,011 | 808,322 | 4.67 | 5 hrs 8 mins |
| 10 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,456,042 | 756,500 | 4.57 | 5 hrs 15 mins |
| 11 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,326,739 | 769,143 | 4.33 | 5 hrs 33 mins |
| 12 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,308,881 | 757,930 | 4.37 | 5 hrs 30 mins |
| 13 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,829,456 | 720,902 | 3.92 | 6 hrs 7 mins |
| 14 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 2,753,229 | 713,800 | 3.86 | 6 hrs 13 mins |
| 15 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,720,909 | 714,612 | 3.81 | 6 hrs 18 mins |
| 16 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,634,220 | 701,239 | 3.76 | 6 hrs 23 mins |
| 17 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,460,309 | 689,125 | 3.57 | 6 hrs 43 mins |
| 18 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,423,061 | 691,385 | 3.50 | 6 hrs 51 mins |
| 19 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,198,061 | 661,317 | 3.32 | 7 hrs 13 mins |
|
|
|||||||
| 20 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,044,160 | 668,800 | 3.06 | 7 hrs 51 mins |
| 21 | Radeon RX 6700/6700 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT / 6800M] |
AMD | Navi 22 | 1,935,927 | 635,110 | 3.05 | 7 hrs 52 mins |
| 22 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,925,972 | 642,597 | 3.00 | 8 hrs 0 mins |
| 23 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,917,790 | 629,321 | 3.05 | 7 hrs 53 mins |
| 24 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,820,791 | 639,090 | 2.85 | 8 hrs 25 mins |
| 25 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,795,277 | 619,184 | 2.90 | 8 hrs 17 mins |
| 26 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,659,246 | 600,569 | 2.76 | 8 hrs 41 mins |
| 27 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,655,686 | 581,217 | 2.85 | 8 hrs 26 mins |
| 28 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,535,249 | 586,717 | 2.62 | 9 hrs 10 mins |
| 29 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,496,318 | 595,436 | 2.51 | 9 hrs 33 mins |
| 30 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,299,362 | 543,094 | 2.39 | 10 hrs 2 mins |
| 31 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,261,671 | 554,618 | 2.27 | 10 hrs 33 mins |
| 32 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,152,670 | 532,309 | 2.17 | 11 hrs 5 mins |
| 33 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,111,888 | 526,739 | 2.11 | 11 hrs 22 mins |
| 34 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,109,003 | 546,659 | 2.03 | 11 hrs 50 mins |
| 35 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,062,776 | 502,879 | 2.11 | 11 hrs 21 mins |
| 36 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,025,786 | 531,904 | 1.93 | 12 hrs 27 mins |
| 37 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,019,710 | 528,487 | 1.93 | 12 hrs 26 mins |
| 38 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 969,424 | 502,960 | 1.93 | 12 hrs 27 mins |
| 39 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 958,988 | 500,137 | 1.92 | 12 hrs 31 mins |
|
|
|||||||
| 40 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 843,199 | 482,072 | 1.75 | 13 hrs 43 mins |
| 41 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 841,338 | 297,000 | 2.83 | 8 hrs 28 mins |
| 42 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 838,606 | 366,319 | 2.29 | 10 hrs 29 mins |
| 43 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 830,403 | 478,032 | 1.74 | 13 hrs 49 mins |
| 44 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 687,239 | 448,498 | 1.53 | 15 hrs 40 mins |
| 45 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 654,251 | 325,175 | 2.01 | 11 hrs 56 mins |
| 46 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 512,479 | 406,664 | 1.26 | 19 hrs 3 mins |
| 47 | Radeon RX 6600/6600 XT/6600M Navi 23 [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 | 466,622 | 394,598 | 1.18 | 20 hrs 18 mins |
| 48 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 444,263 | 380,612 | 1.17 | 20 hrs 34 mins |
| 49 | Radeon R9 200/HD 7900/8970 Tahiti XT [Radeon R9 200/HD 7900/8970] |
AMD | Tahiti XT | 346,145 | 359,865 | 0.96 | 24 hrs 57 mins |
| 50 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 325,871 | 365,727 | 0.89 | 26 hrs 56 mins |
| 51 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 206,956 | 299,251 | 0.69 | 34 hrs 42 mins |
| 52 | T600 TU117GL [T600] |
Nvidia | TU117GL | 116,606 | 301,407 | 0.39 | 62 hrs 2 mins |
| 53 | Radeon WX 3100 [Radeon WX 3100] |
AMD | 109,589 | 297,000 | 0.37 | 65 hrs 3 mins | |
| 54 | Radeon Vega Series / Radeon Vega Mobile Series Raven Ridge [Radeon Vega Series / Radeon Vega Mobile Series] |
AMD | Raven Ridge | 104,340 | 297,000 | 0.35 | 68 hrs 19 mins |
| 55 | Radeon R9 200 Series Hawaii [Radeon R9 200 Series] |
AMD | Hawaii | 101,998 | 297,000 | 0.34 | 69 hrs 53 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:32:37|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|