RESEARCH: CANCER
FOLDING PROJECT #14934 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

This project looks at Class F receptors, which help control how cells grow and change. When these proteins are overactive, they can lead to cancers like Basal Cell Carcinoma and Medulloblastoma. By using computer simulations, scientists hope to figure out how these proteins work and learn more about how these cancers develop.

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

A group of cell surface receptors involved in signaling pathways.

Technical: Biotechnology
Cellular Biology / Receptor Signaling

Class F Receptors are a family of proteins found on the surface of cells. They act as receptors, receiving signals from other molecules and triggering cellular responses. These receptors play a crucial role in various biological processes, including cell growth, differentiation, and survival. Disruptions in Class F receptor signaling can contribute to the development of certain cancers.


Cell Differentiation

The process by which a cell becomes specialized for a specific function.

Scientific: Biotechnology
Cellular Biology / Development

Cell differentiation is the process by which unspecialized cells develop into specialized cells with specific functions. During development, stem cells undergo differentiation to give rise to all the diverse cell types in an organism. This process involves changes in gene expression and cellular structure, ultimately leading to the formation of tissues and organs.


Basal Cell Carcinoma

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

Medical: Pharmaceuticals
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 (outermost layer of skin). Basal cell carcinomas typically appear as pearly or waxy bumps, often with visible blood vessels.


Medulloblastoma

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

Medical: Pharmaceuticals
Oncology / Brain Tumors

Medulloblastoma is a highly aggressive brain tumor that originates in the cerebellum, a part of the brain responsible for balance and coordination. It primarily affects children and adolescents. Medulloblastomas can grow rapidly and spread to other parts of the body.


Simulations

Computer-based models that mimic real-world processes.

Technical: Pharmaceuticals
Bioinformatics / Drug Discovery

Simulations are computer-generated models that attempt to replicate complex systems or processes. In drug discovery, simulations are used to predict how drugs will interact with target proteins and to design new molecules with desired properties.


Pathogenesis

The origin and development of a disease.

Scientific: Biotechnology
Medicine / Disease Mechanisms

Pathogenesis refers to the biological processes that underlie the development and progression of a disease. Understanding pathogenesis is crucial for identifying potential therapeutic targets and developing effective treatments.

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 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,275,388 140,227 51.88 0 hrs 28 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,842,668 137,742 49.68 0 hrs 29 mins
3 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,993,004 130,615 45.88 0 hrs 31 mins
4 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 5,741,990 132,890 43.21 0 hrs 33 mins
5 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,765,157 124,314 38.33 0 hrs 38 mins
6 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,752,685 124,538 38.16 0 hrs 38 mins
7 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 4,708,407 123,916 38.00 0 hrs 38 mins
8 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,532,612 122,231 37.08 0 hrs 39 mins
9 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 4,167,900 119,349 34.92 0 hrs 41 mins
10 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,877,430 115,212 33.65 0 hrs 43 mins
11 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,351,951 110,605 30.31 0 hrs 48 mins
12 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 3,090,307 109,052 28.34 0 hrs 51 mins
13 Quadro RTX 6000/8000
TU102GL [Quadro RTX 6000/8000]
Nvidia TU102GL 2,838,321 105,123 27.00 0 hrs 53 mins
14 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,766,234 98,506 28.08 0 hrs 51 mins
15 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A] M 7465
Nvidia TU106 2,559,554 100,723 25.41 0 hrs 57 mins
16 GeForce RTX 2070 SUPER Mobile / Max-Q
TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q]
Nvidia TU104M 2,511,253 100,248 25.05 0 hrs 57 mins
17 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,356,869 99,113 23.78 1 hrs 1 mins
18 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,309,953 98,136 23.54 1 hrs 1 mins
19 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,174,738 96,458 22.55 1 hrs 4 mins
20 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,109,715 94,671 22.28 1 hrs 5 mins
21 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,982,242 93,531 21.19 1 hrs 8 mins
22 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,612,186 86,280 18.69 1 hrs 17 mins
23 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,462,083 85,027 17.20 1 hrs 24 mins
24 GeForce RTX 2070
TU106 [GeForce RTX 2070] M 6497
Nvidia TU106 1,457,919 68,146 21.39 1 hrs 7 mins
25 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,340,166 82,292 16.29 1 hrs 28 mins
26 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 1,335,409 81,917 16.30 1 hrs 28 mins
27 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,334,871 81,884 16.30 1 hrs 28 mins
28 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,222,312 70,736 17.28 1 hrs 23 mins
29 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,203,529 75,705 15.90 1 hrs 31 mins
30 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,128,463 77,520 14.56 1 hrs 39 mins
31 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 1,064,413 73,505 14.48 1 hrs 39 mins
32 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 647,545 64,426 10.05 2 hrs 23 mins
33 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 607,163 63,591 9.55 2 hrs 31 mins
34 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 588,659 61,862 9.52 2 hrs 31 mins
35 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 579,625 61,855 9.37 2 hrs 34 mins
36 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 576,562 61,783 9.33 2 hrs 34 mins
37 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 486,480 58,387 8.33 2 hrs 53 mins
38 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 328,709 51,453 6.39 3 hrs 45 mins
39 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 201,656 43,563 4.63 5 hrs 11 mins
40 GeForce GTX 770
GK104 [GeForce GTX 770] 3213
Nvidia GK104 143,700 39,026 3.68 6 hrs 31 mins
41 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 128,798 37,554 3.43 6 hrs 60 mins
42 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 95,452 33,585 2.84 8 hrs 27 mins
43 GeForce GTX 760
GK104 [GeForce GTX 760] 2258
Nvidia GK104 94,401 33,811 2.79 8 hrs 36 mins
44 GeForce GTX 660
GK106 [GeForce GTX 660]
Nvidia GK106 66,982 30,269 2.21 10 hrs 51 mins
45 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 52,655 16,800 3.13 7 hrs 39 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