RESEARCH: CANCER
FOLDING PROJECT #14935 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 105,385
Core: OPENMM_22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at Class F Receptors, which control how cells develop. Overactive receptors can cause cancer like Basal Cell Carcinoma and Medulloblastoma. By using computer models, researchers want to figure out how these receptors work, helping us understand and treat these diseases better.

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 have 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 play a role in cell differentiation.

Scientific: Biotechnology
Cell Biology / Signal Transduction

Class F receptors are a type of protein found on the surface of cells. They receive signals from other molecules and help to control how cells grow and develop. Overactivation of these receptors has been linked to certain types of cancer, such as basal cell carcinoma and medulloblastoma.


Basal Cell Carcinoma

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

Medical: Healthcare
Oncology / Skin Cancer

Basal cell carcinoma is the most common form of skin cancer. It develops from the basal cells, which are located in the deepest layer of the epidermis (outermost layer of skin). Basal cell carcinomas typically appear as pearly or waxy bumps and can grow slowly.


Medulloblastoma

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

Medical: Healthcare
Oncology / Pediatric Brain Cancer

Medulloblastoma is a fast-growing brain tumor that occurs most often in children. It originates in the cerebellum, a part of the brain responsible for balance and coordination. Medulloblastoma can spread to other parts of the body.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:32:41
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 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,251,972 139,965 51.81 0 hrs 28 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,969,150 134,068 51.98 0 hrs 28 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,664,416 133,331 49.98 0 hrs 29 mins
4 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 5,827,244 129,417 45.03 0 hrs 32 mins
5 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,637,443 120,492 38.49 0 hrs 37 mins
6 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,258,136 116,851 36.44 0 hrs 40 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,961,025 114,338 34.64 0 hrs 42 mins
8 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,811,691 109,134 34.93 0 hrs 41 mins
9 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,757,657 113,078 33.23 0 hrs 43 mins
10 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,331,796 107,975 30.86 0 hrs 47 mins
11 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,480,383 97,607 25.41 0 hrs 57 mins
12 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A] M 7465
Nvidia TU106 2,420,675 97,296 24.88 0 hrs 58 mins
13 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,363,877 89,453 26.43 0 hrs 54 mins
14 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,269,840 95,171 23.85 1 hrs 0 mins
15 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,134,381 93,346 22.87 1 hrs 3 mins
16 GeForce RTX 2070 SUPER Mobile / Max-Q
TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q]
Nvidia TU104M 2,121,486 84,404 25.13 0 hrs 57 mins
17 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,022,654 91,024 22.22 1 hrs 5 mins
18 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,921,047 90,401 21.25 1 hrs 8 mins
19 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 1,848,409 88,869 20.80 1 hrs 9 mins
20 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,637,992 85,308 19.20 1 hrs 15 mins
21 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 1,441,844 82,318 17.52 1 hrs 22 mins
22 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,409,852 81,035 17.40 1 hrs 23 mins
23 GeForce RTX 2070
TU106 [GeForce RTX 2070] M 6497
Nvidia TU106 1,406,563 81,357 17.29 1 hrs 23 mins
24 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,306,136 78,073 16.73 1 hrs 26 mins
25 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,289,979 78,453 16.44 1 hrs 28 mins
26 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,220,980 77,447 15.77 1 hrs 31 mins
27 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,013,432 73,139 13.86 1 hrs 44 mins
28 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 913,106 65,915 13.85 1 hrs 44 mins
29 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 795,830 67,240 11.84 2 hrs 2 mins
30 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 684,446 64,382 10.63 2 hrs 15 mins
31 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 551,678 58,411 9.44 2 hrs 32 mins
32 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 489,396 57,073 8.57 2 hrs 48 mins
33 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 465,273 56,091 8.29 2 hrs 54 mins
34 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 331,061 50,318 6.58 3 hrs 39 mins
35 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 313,148 48,128 6.51 3 hrs 41 mins
36 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 309,721 49,115 6.31 3 hrs 48 mins
37 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 191,775 42,059 4.56 5 hrs 16 mins
38 GeForce GTX 770
GK104 [GeForce GTX 770] 3213
Nvidia GK104 112,066 34,869 3.21 7 hrs 28 mins
39 GeForce GTX 760
GK104 [GeForce GTX 760] 2258
Nvidia GK104 96,187 33,175 2.90 8 hrs 17 mins
40 GeForce GTX 660
GK106 [GeForce GTX 660]
Nvidia GK106 67,493 29,736 2.27 10 hrs 34 mins
41 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 50,766 26,888 1.89 12 hrs 43 mins
42 GeForce GT 730
GK208B [GeForce GT 730] 692.7
Nvidia GK208B 30,103 22,720 1.32 18 hrs 7 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:32:41
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make