RESEARCH: CANCER
FOLDING PROJECT #14944 PROFILE

PROJECT TEAM

Manager(s): Prateek Bansal
Institution: University of Illinois Urbana-Champaign

WORK UNIT INFO

Atoms: 105,200
Core: 0x22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project studies how Class F Receptors and Patched proteins control cell growth. These proteins are linked to cancer, so figuring out how they work could help us understand and treat diseases like Basal Cell Carcinoma and Medulloblastoma.

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

Note: Glossary items are a high level summary and may not be 100% accurate.

Class F Receptors

Receptors that bind to signaling molecules and trigger cellular responses.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Class F receptors are a type of protein found on the surface of cells. They act like antennas, receiving signals from other molecules in the body. These signals can tell cells to grow, divide, or change shape. When these receptors don't work properly, it can lead to problems like cancer.


Patched Membrane Protein

A transmembrane protein that regulates the signaling pathway of Hedgehog.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Patched is a protein found on the surface of cells. It plays an important role in controlling cell growth and development. The Hedgehog pathway is a signaling system that tells cells when to grow, divide, and specialize. Patched acts as a brake on this pathway, preventing cells from growing too quickly. When Patched doesn't work properly, it can lead to uncontrolled cell growth and cancer.


Basal Cell Carcinoma

The most common type of skin cancer.

Medical: Healthcare
Oncology / Skin Cancer

Basal cell carcinoma is a slow-growing type of skin cancer that starts in the basal cells, which are located in the deepest layer of the epidermis (the outer layer of skin). It usually appears as a pearly or waxy bump on the skin and can grow slowly over time. While it's rarely life-threatening, it can spread to nearby tissues if left untreated.


Medulloblastoma

A type of aggressive brain tumor that develops in the cerebellum.

Medical: Healthcare
Neurology / Brain Tumors

Medulloblastoma is a fast-growing brain tumor that originates in the cerebellum, which is responsible for coordinating movement and balance. It's most common in children and can spread quickly to other parts of the brain and spinal cord. Treatment typically involves surgery, radiation therapy, and chemotherapy.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:32:35
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 12,582,877 171,084 73.55 0 hrs 20 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 12,101,725 169,381 71.45 0 hrs 20 mins
3 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 10,301,357 163,486 63.01 0 hrs 23 mins
4 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 8,918,061 155,498 57.35 0 hrs 25 mins
5 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 8,255,253 149,942 55.06 0 hrs 26 mins
6 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,207,150 145,126 49.66 0 hrs 29 mins
7 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,111,405 144,240 49.30 0 hrs 29 mins
8 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,900,802 141,046 48.93 0 hrs 29 mins
9 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 6,519,488 137,001 47.59 0 hrs 30 mins
10 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,412,238 131,318 41.21 0 hrs 35 mins
11 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,657,691 124,853 37.31 0 hrs 39 mins
12 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,486,598 123,154 36.43 0 hrs 40 mins
13 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 3,998,741 117,915 33.91 0 hrs 42 mins
14 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 3,790,607 117,173 32.35 0 hrs 45 mins
15 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 3,566,177 114,128 31.25 0 hrs 46 mins
16 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,485,994 113,937 30.60 0 hrs 47 mins
17 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 3,379,956 110,535 30.58 0 hrs 47 mins
18 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 2,754,610 105,864 26.02 0 hrs 55 mins
19 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,688,482 104,058 25.84 0 hrs 56 mins
20 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,683,493 104,089 25.78 0 hrs 56 mins
21 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,484,206 102,213 24.30 0 hrs 59 mins
22 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,324,355 99,686 23.32 1 hrs 2 mins
23 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,226,234 97,847 22.75 1 hrs 3 mins
24 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,657,028 87,895 18.85 1 hrs 16 mins
25 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,471,414 84,904 17.33 1 hrs 23 mins
26 Radeon VII
Vega 20 [Radeon VII]
AMD Vega 20 1,471,407 85,371 17.24 1 hrs 24 mins
27 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,401,905 83,252 16.84 1 hrs 26 mins
28 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,401,490 83,940 16.70 1 hrs 26 mins
29 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,299,643 81,990 15.85 1 hrs 31 mins
30 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,296,422 81,513 15.90 1 hrs 31 mins
31 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,290,072 81,306 15.87 1 hrs 31 mins
32 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,249,109 78,884 15.83 1 hrs 31 mins
33 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,070,919 77,240 13.86 1 hrs 44 mins
34 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 687,004 54,976 12.50 1 hrs 55 mins
35 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 677,791 65,851 10.29 2 hrs 20 mins
36 GeForce GTX 1650
TU117 [GeForce GTX 1650] 3091
Nvidia TU117 639,767 65,079 9.83 2 hrs 26 mins
37 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 543,754 61,441 8.85 2 hrs 43 mins
38 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 541,298 46,831 11.56 2 hrs 5 mins
39 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 450,488 57,452 7.84 3 hrs 4 mins
40 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 324,110 51,492 6.29 3 hrs 49 mins
41 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 230,116 45,986 5.00 4 hrs 48 mins
42 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 142,704 39,309 3.63 6 hrs 37 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:32:35
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make