RESEARCH: CANCER
FOLDING PROJECT #14946 PROFILE
PROJECT TEAM
Manager(s): Prateek BansalInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 106,127Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how Class F Receptors and Patched proteins control how cells develop. When these proteins don't work right, they can cause cancer like Basal Cell Carcinoma and Medulloblastoma. By studying how these proteins activate, we hope to learn more about why these cancers happen.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Class F Receptors and Patched Membrane Protein Class F Receptors and Patched are human proteins that are involved in the control of cell differentiation.
Over-activation/inactivation of these proteins has links to Basal Cell Carcinoma and Medulloblastoma.
Through simulations we aim to understand the activation mechanisms of these proteins, giving us a way to probe into the pathogenesis of the disease.
RELATED TERMS GLOSSARY AI BETA
Class F Receptors
Receptors that play a role in cell signaling and differentiation.
Class F receptors are a type of protein found on the surface of cells. They receive signals from other molecules and trigger changes inside the cell, affecting processes like growth and development. Disruptions in their function can contribute to diseases like cancer.
Patched
A protein that regulates the activity of other proteins involved in cell growth and differentiation.
Patched is a protein that acts as a brake on cellular signaling. It helps control the activity of other proteins involved in processes like cell growth and division. When Patched is not functioning properly, it can lead to uncontrolled cell proliferation, contributing to diseases like cancer.
Basal Cell Carcinoma
A type of skin cancer that originates in the basal cells.
Basal cell carcinoma is the most common type of skin cancer. It arises from abnormal growth of the basal cells, which are found in the deepest layer of the epidermis (skin). Basal cell carcinomas usually appear as pearly or waxy bumps and can be treated effectively with surgery or other therapies.
Medulloblastoma
A type of malignant brain tumor that originates in the cerebellum.
Medulloblastoma is a highly aggressive type of brain tumor that typically affects children. It arises from cells in the cerebellum, a part of the brain responsible for balance and coordination. Medulloblastoma can spread to other parts of the body, making it a serious condition requiring intensive treatment.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:32:34|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 14,121,393 | 176,359 | 80.07 | 0 hrs 18 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 12,747,617 | 173,901 | 73.30 | 0 hrs 20 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,235,531 | 151,661 | 60.90 | 0 hrs 24 mins |
| 4 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,665,101 | 145,471 | 52.69 | 0 hrs 27 mins |
| 5 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 7,207,399 | 146,833 | 49.09 | 0 hrs 29 mins |
| 6 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,680,109 | 139,498 | 47.89 | 0 hrs 30 mins |
| 7 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 6,678,320 | 141,074 | 47.34 | 0 hrs 30 mins |
| 8 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,660,481 | 139,862 | 47.62 | 0 hrs 30 mins |
| 9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,360,889 | 137,004 | 46.43 | 0 hrs 31 mins |
| 10 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 6,279,458 | 134,308 | 46.75 | 0 hrs 31 mins |
| 11 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,208,872 | 129,122 | 40.34 | 0 hrs 36 mins |
| 12 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,868,718 | 126,400 | 38.52 | 0 hrs 37 mins |
| 13 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,769,769 | 126,146 | 37.81 | 0 hrs 38 mins |
| 14 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,236,363 | 121,317 | 34.92 | 0 hrs 41 mins |
| 15 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,650,743 | 114,565 | 31.87 | 0 hrs 45 mins |
| 16 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,281,289 | 110,245 | 29.76 | 0 hrs 48 mins |
| 17 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,191,281 | 109,780 | 29.07 | 0 hrs 50 mins |
| 18 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,085,251 | 105,460 | 29.26 | 0 hrs 49 mins |
| 19 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,083,257 | 108,916 | 28.31 | 0 hrs 51 mins |
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|||||||
| 20 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,037,858 | 107,424 | 28.28 | 0 hrs 51 mins |
| 21 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,008,185 | 108,687 | 27.68 | 0 hrs 52 mins |
| 22 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 3,003,148 | 106,474 | 28.21 | 0 hrs 51 mins |
| 23 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,749,893 | 104,213 | 26.39 | 0 hrs 55 mins |
| 24 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,703,795 | 104,149 | 25.96 | 0 hrs 55 mins |
| 25 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,418,300 | 100,582 | 24.04 | 0 hrs 60 mins |
| 26 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,322,733 | 99,157 | 23.42 | 1 hrs 1 mins |
| 27 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,291,806 | 99,360 | 23.07 | 1 hrs 2 mins |
| 28 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,174,498 | 96,614 | 22.51 | 1 hrs 4 mins |
| 29 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,983,744 | 91,128 | 21.77 | 1 hrs 6 mins |
| 30 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,808,286 | 91,394 | 19.79 | 1 hrs 13 mins |
| 31 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,711,587 | 87,395 | 19.58 | 1 hrs 14 mins |
| 32 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,635,604 | 84,233 | 19.42 | 1 hrs 14 mins |
| 33 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,387,418 | 83,629 | 16.59 | 1 hrs 27 mins |
| 34 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,363,842 | 83,474 | 16.34 | 1 hrs 28 mins |
| 35 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,308,886 | 77,612 | 16.86 | 1 hrs 25 mins |
| 36 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,296,503 | 81,813 | 15.85 | 1 hrs 31 mins |
| 37 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,278,857 | 81,036 | 15.78 | 1 hrs 31 mins |
| 38 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,277,625 | 79,983 | 15.97 | 1 hrs 30 mins |
| 39 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,224,846 | 79,237 | 15.46 | 1 hrs 33 mins |
|
|
|||||||
| 40 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,098,273 | 77,107 | 14.24 | 1 hrs 41 mins |
| 41 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,016,478 | 73,447 | 13.84 | 1 hrs 44 mins |
| 42 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 993,843 | 74,864 | 13.28 | 1 hrs 48 mins |
| 43 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 839,374 | 70,540 | 11.90 | 2 hrs 1 mins |
| 44 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 599,497 | 62,915 | 9.53 | 2 hrs 31 mins |
| 45 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 536,531 | 60,613 | 8.85 | 2 hrs 43 mins |
| 46 | RX Vega 10 Mobile Picasso APU [RX Vega 10 Mobile] |
AMD | Picasso APU | 492,309 | 24,563 | 20.04 | 1 hrs 12 mins |
| 47 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 330,671 | 51,948 | 6.37 | 3 hrs 46 mins |
| 48 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 312,885 | 59,284 | 5.28 | 4 hrs 33 mins |
| 49 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 296,538 | 50,052 | 5.92 | 4 hrs 3 mins |
| 50 | Tesla K40m GK110 [Tesla K40m] 5046 |
Nvidia | GK110 | 234,001 | 46,900 | 4.99 | 4 hrs 49 mins |
| 51 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 205,870 | 44,474 | 4.63 | 5 hrs 11 mins |
| 52 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 135,018 | 38,602 | 3.50 | 6 hrs 52 mins |
| 53 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 115,305 | 36,704 | 3.14 | 7 hrs 38 mins |
| 54 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 103,960 | 34,955 | 2.97 | 8 hrs 4 mins |
| 55 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 90,319 | 37,271 | 2.42 | 9 hrs 54 mins |
| 56 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 52,037 | 28,123 | 1.85 | 12 hrs 58 mins |
| 57 | R7 370/R9 270X/370X Curacao XT/Trinidad XT [R7 370/R9 270X/370X] |
AMD | Curacao XT/Trinidad XT | 46,197 | 25,567 | 1.81 | 13 hrs 17 mins |
| 58 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 31,572 | 27,897 | 1.13 | 21 hrs 12 mins |
| 59 | Vega Mobile 5000 series APU Cezanne [Vega Mobile 5000 series APU] |
AMD | Cezanne | 21,254 | 21,018 | 1.01 | 23 hrs 44 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:32:34|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|