RESEARCH: CANCER
FOLDING PROJECT #18114 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 34,970Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project uses computer simulations to study how a special molecule called KRpep binds to a protein called KRas. KRas is involved in cancer, so understanding how molecules bind to it could lead to new drugs. The project will explore different binding positions and analyze the interactions between KRas and KRpep. Results will be publicly available online.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
18110: simulation for the complex of KRas(G12D)-GDP-KRpep-2d, with the initial structure of peptide ligand in the known binding position, exploring the binding dynamics of the complex and binding poses. 18111: binding simulation for the complex of KRas(G12D)-GDP-KRpep-2d, with the initial structure of peptide ligand 35A away from the protein center, exploring if the correct binding pose will be observed through the simulation. 18112-18114: binding simulation for the complex of KRas(G12D)-GDP-peptide, the binding pocket and binding pose is unknown.
We start with 100 randomly sampled initial structures, in each structure, the ligand center is 40A away from the protein center, with random direction and rotation.
The simulation is aimed to identify potential binding pocket and binding poses of the peptide.
The interactions between KRas protein and the peptide would provide insights in designing small molecules that bind with KRas. 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 in real time at https://console.cloud.google.com/storage/browser/stxfah-bucket.
RELATED TERMS GLOSSARY AI BETA
KRas
Kirsten rat sarcoma viral oncogene homolog
KRas is a gene that provides instructions for making a protein involved in cell growth and division. Mutations in the KRas gene can lead to uncontrolled cell growth, contributing to the development of cancer.
G12D
Glycine to Aspartic acid at position 12
G12D is a specific mutation in the KRas gene where the amino acid glycine is replaced by aspartic acid at position 12. This mutation is frequently found in various cancers and is associated with increased cancer cell growth and survival.
GDP
Guanosine diphosphate
GDP is a molecule that acts as an energy source and signaling molecule within cells. It plays a crucial role in various cellular processes, including protein synthesis and signal transduction.
KRpep-2d
A specific KRas peptide ligand
KRpep-2d is a synthetic peptide designed to bind to the KRas protein. It acts as a potential drug candidate for targeting and inhibiting the growth of cancer cells driven by mutated KRas.
Binding Simulation
A computational method to predict the interactions between molecules in a system
Binding simulations use computer models to analyze how different molecules, such as drugs and proteins, interact with each other. These simulations help researchers understand how drugs bind to their targets and can be used to design more effective therapies.
Binding Pose
The specific orientation and position of a molecule when bound to its target
Binding pose describes how a molecule, like a drug, fits into the active site of a protein target. Understanding the binding pose is crucial for designing drugs that effectively interact with their intended targets.
Folding@home
A distributed computing project for simulating protein folding and other biomolecular processes.
Folding@home harnesses the power of volunteer computers to perform complex simulations of protein folding. This massive computational effort accelerates research into diseases like Alzheimer's and cancer.
Roivant Sciences
A biotechnology company focused on developing new therapies for a range of diseases.
Roivant Sciences is a biopharmaceutical company that utilizes innovative approaches to develop and commercialize treatments for various conditions. They are known for their focus on rapidly translating research discoveries into clinical applications.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:32:09|
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 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 4,737,330 | 242,569 | 19.53 | 1 hrs 14 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,474,865 | 238,304 | 18.78 | 1 hrs 17 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,044,033 | 230,093 | 17.58 | 1 hrs 22 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,881,812 | 226,875 | 17.11 | 1 hrs 24 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,340,909 | 215,781 | 15.48 | 1 hrs 33 mins |
| 6 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 3,308,527 | 213,458 | 15.50 | 1 hrs 33 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,152,698 | 212,363 | 14.85 | 1 hrs 37 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,094,195 | 210,995 | 14.66 | 1 hrs 38 mins |
| 9 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,012,579 | 209,207 | 14.40 | 1 hrs 40 mins |
| 10 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,879,927 | 206,194 | 13.97 | 1 hrs 43 mins |
| 11 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,857,890 | 205,254 | 13.92 | 1 hrs 43 mins |
| 12 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,667,153 | 200,168 | 13.32 | 1 hrs 48 mins |
| 13 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 2,644,172 | 200,144 | 13.21 | 1 hrs 49 mins |
| 14 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,616,378 | 199,809 | 13.09 | 1 hrs 50 mins |
| 15 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,452,347 | 194,890 | 12.58 | 1 hrs 54 mins |
| 16 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,385,413 | 190,758 | 12.50 | 1 hrs 55 mins |
| 17 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,222,160 | 188,651 | 11.78 | 2 hrs 2 mins |
| 18 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,113,122 | 185,686 | 11.38 | 2 hrs 7 mins |
| 19 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 2,010,822 | 182,209 | 11.04 | 2 hrs 10 mins |
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|||||||
| 20 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,006,881 | 182,823 | 10.98 | 2 hrs 11 mins |
| 21 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,933,089 | 180,536 | 10.71 | 2 hrs 14 mins |
| 22 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,826,187 | 181,409 | 10.07 | 2 hrs 23 mins |
| 23 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,783,321 | 175,952 | 10.14 | 2 hrs 22 mins |
| 24 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,774,865 | 175,472 | 10.11 | 2 hrs 22 mins |
| 25 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,733,136 | 173,997 | 9.96 | 2 hrs 25 mins |
| 26 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,716,106 | 173,184 | 9.91 | 2 hrs 25 mins |
| 27 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,671,886 | 172,345 | 9.70 | 2 hrs 28 mins |
| 28 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,669,971 | 170,623 | 9.79 | 2 hrs 27 mins |
| 29 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,494,408 | 165,662 | 9.02 | 2 hrs 40 mins |
| 30 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,423,665 | 163,216 | 8.72 | 2 hrs 45 mins |
| 31 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,323,722 | 158,662 | 8.34 | 2 hrs 53 mins |
| 32 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,199,095 | 153,584 | 7.81 | 3 hrs 4 mins |
| 33 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,192,596 | 153,692 | 7.76 | 3 hrs 6 mins |
| 34 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,192,053 | 153,856 | 7.75 | 3 hrs 6 mins |
| 35 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,169,113 | 151,973 | 7.69 | 3 hrs 7 mins |
| 36 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,064,055 | 148,801 | 7.15 | 3 hrs 21 mins |
| 37 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,003,285 | 144,250 | 6.96 | 3 hrs 27 mins |
| 38 | Radeon RX 6700/6700 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT / 6800M] |
AMD | Navi 22 | 962,629 | 138,740 | 6.94 | 3 hrs 28 mins |
| 39 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 927,250 | 141,163 | 6.57 | 3 hrs 39 mins |
|
|
|||||||
| 40 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 921,418 | 136,394 | 6.76 | 3 hrs 33 mins |
| 41 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 912,502 | 140,504 | 6.49 | 3 hrs 42 mins |
| 42 | RTX A2000 Mobile GA107GLM [RTX A2000 Mobile] |
Nvidia | GA107GLM | 881,633 | 138,647 | 6.36 | 3 hrs 46 mins |
| 43 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 866,086 | 135,032 | 6.41 | 3 hrs 45 mins |
| 44 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 698,500 | 128,663 | 5.43 | 4 hrs 25 mins |
| 45 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 683,604 | 127,819 | 5.35 | 4 hrs 29 mins |
| 46 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 593,863 | 119,191 | 4.98 | 4 hrs 49 mins |
| 47 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 585,242 | 121,336 | 4.82 | 4 hrs 59 mins |
| 48 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 541,657 | 118,423 | 4.57 | 5 hrs 15 mins |
| 49 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 474,022 | 111,192 | 4.26 | 5 hrs 38 mins |
| 50 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 454,781 | 110,812 | 4.10 | 5 hrs 51 mins |
| 51 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 429,020 | 108,505 | 3.95 | 6 hrs 4 mins |
| 52 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 386,743 | 96,971 | 3.99 | 6 hrs 1 mins |
| 53 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 354,781 | 102,613 | 3.46 | 6 hrs 56 mins |
| 54 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 313,156 | 98,337 | 3.18 | 7 hrs 32 mins |
| 55 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 291,531 | 96,070 | 3.03 | 7 hrs 55 mins |
| 56 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 282,555 | 95,493 | 2.96 | 8 hrs 7 mins |
| 57 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 270,852 | 93,900 | 2.88 | 8 hrs 19 mins |
| 58 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 254,869 | 92,043 | 2.77 | 8 hrs 40 mins |
| 59 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 253,929 | 90,722 | 2.80 | 8 hrs 34 mins |
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|||||||
| 60 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 248,642 | 91,248 | 2.72 | 8 hrs 48 mins |
| 61 | Radeon RX 6600/6600 XT/6600M Navi 23 [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 | 180,034 | 57,350 | 3.14 | 7 hrs 39 mins |
| 62 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 132,326 | 65,971 | 2.01 | 11 hrs 58 mins |
| 63 | GeForce 940MX GM107 [GeForce 940MX] |
Nvidia | GM107 | 46,404 | 45,384 | 1.02 | 23 hrs 28 mins |
| 64 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 37,660 | 45,384 | 0.83 | 28 hrs 55 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:32:09|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|