RESEARCH: CANCER
FOLDING PROJECT #14937 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 105,048
Core: OPENMM_22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Class F Receptors help control how cells develop. When these receptors are overactive, they can contribute to cancers like Basal Cell Carcinoma and Medulloblastoma. This project uses computer simulations to understand how these receptors work, hoping to find new ways to treat these diseases.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Class F Receptors Class F Receptors are involved in the control of cell differentiation.

Over-activation 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

A family of G protein-coupled receptors involved in cell signaling and differentiation.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Class F Receptors are a group of proteins found on the surface of cells. They act as receptors, receiving signals from other molecules and triggering responses within the cell. These receptors are important for processes like cell growth, development, and survival. Disruptions in their function can contribute to diseases like Basal Cell Carcinoma and Medulloblastoma.


Basal Cell Carcinoma

A type of skin cancer that originates in the basal cells.

Pathological: Healthcare
Oncology / Skin Cancer

Basal Cell Carcinoma is the most common type of skin cancer. It develops from the basal cells, which are found in the deepest layer of the epidermis (outer skin layer). This cancer often appears as a pearly or waxy bump and can be slow-growing.


Medulloblastoma

A type of malignant brain tumor that arises from the cerebellum.

Pathological: Healthcare
Oncology / Brain Tumors

Medulloblastoma is a serious type of cancer that begins in the cerebellum, a part of the brain responsible for balance and coordination. It's most common in children.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:32:40
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 8,057,773 146,663 54.94 0 hrs 26 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,068,101 140,675 50.24 0 hrs 29 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,617,547 135,275 48.92 0 hrs 29 mins
4 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,530,645 138,362 47.20 0 hrs 31 mins
5 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,100,992 132,742 45.96 0 hrs 31 mins
6 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,959,468 125,888 39.40 0 hrs 37 mins
7 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,701,842 124,072 37.90 0 hrs 38 mins
8 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 4,602,656 122,909 37.45 0 hrs 38 mins
9 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,567,680 122,407 37.32 0 hrs 39 mins
10 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,193,128 118,089 35.51 0 hrs 41 mins
11 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,036,920 117,912 34.24 0 hrs 42 mins
12 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,258,635 108,653 29.99 0 hrs 48 mins
13 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 3,234,700 110,025 29.40 0 hrs 49 mins
14 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 3,227,085 109,974 29.34 0 hrs 49 mins
15 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 3,161,178 110,324 28.65 0 hrs 50 mins
16 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,154,888 107,622 29.31 0 hrs 49 mins
17 Quadro RTX 6000/8000
TU102GL [Quadro RTX 6000/8000]
Nvidia TU102GL 3,088,792 107,188 28.82 0 hrs 50 mins
18 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,335,850 98,460 23.72 1 hrs 1 mins
19 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,237,071 97,027 23.06 1 hrs 2 mins
20 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,149,249 95,395 22.53 1 hrs 4 mins
21 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,028,901 94,240 21.53 1 hrs 7 mins
22 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 1,896,218 91,697 20.68 1 hrs 10 mins
23 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 1,839,129 92,483 19.89 1 hrs 12 mins
24 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 1,690,483 88,215 19.16 1 hrs 15 mins
25 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,482,950 83,272 17.81 1 hrs 21 mins
26 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,309,408 80,669 16.23 1 hrs 29 mins
27 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,302,815 78,555 16.58 1 hrs 27 mins
28 GeForce RTX 2060 Mobile / Max-Q
TU106M [GeForce RTX 2060 Mobile / Max-Q]
Nvidia TU106M 1,238,620 79,270 15.63 1 hrs 32 mins
29 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,236,458 80,053 15.45 1 hrs 33 mins
30 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,221,028 79,446 15.37 1 hrs 34 mins
31 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,218,741 78,288 15.57 1 hrs 33 mins
32 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,180,386 78,499 15.04 1 hrs 36 mins
33 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,091,997 76,167 14.34 1 hrs 40 mins
34 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 924,575 72,049 12.83 1 hrs 52 mins
35 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 907,425 71,745 12.65 1 hrs 54 mins
36 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 781,693 68,800 11.36 2 hrs 7 mins
37 P104-100
GP104 [P104-100]
Nvidia GP104 771,235 68,739 11.22 2 hrs 8 mins
38 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 723,502 66,702 10.85 2 hrs 13 mins
39 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 520,443 59,777 8.71 2 hrs 45 mins
40 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 491,611 58,668 8.38 2 hrs 52 mins
41 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 473,506 59,941 7.90 3 hrs 2 mins
42 P106-090
GP106 [P106-090]
Nvidia GP106 310,421 50,610 6.13 3 hrs 55 mins
43 GeForce GTX 1050 Ti Mobile
GP107M [GeForce GTX 1050 Ti Mobile]
Nvidia GP107M 298,541 49,337 6.05 3 hrs 58 mins
44 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 292,820 46,639 6.28 3 hrs 49 mins
45 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 226,935 45,280 5.01 4 hrs 47 mins
46 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 222,657 26,270 8.48 2 hrs 50 mins
47 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 128,143 37,550 3.41 7 hrs 2 mins
48 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 121,809 27,190 4.48 5 hrs 21 mins
49 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 111,959 36,155 3.10 7 hrs 45 mins
50 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 101,878 34,552 2.95 8 hrs 8 mins
51 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 82,479 33,959 2.43 9 hrs 53 mins
52 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 69,566 30,698 2.27 10 hrs 35 mins
53 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 50,902 27,640 1.84 13 hrs 2 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:32:40
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make