RESEARCH: CANCER
FOLDING PROJECT #14963 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 105,448
Core: 0x22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project looks at how Class F Receptors and Patched proteins control cell growth. Too much or too little of these proteins can cause cancers like Basal Cell Carcinoma and Medulloblastoma. By using computer simulations, we hope to understand how these proteins work and 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 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

A group of cell surface receptors involved in signal transduction.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Class F receptors are a family of proteins found on the surface of cells. They play a crucial role in receiving signals from other cells and transmitting them inside the cell. This process is essential for many cellular functions, including growth, differentiation, and survival.


Patched Membrane Protein

A transmembrane protein that acts as a regulator of the Hedgehog signaling pathway.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Patched is a protein embedded in the cell membrane. It's like a gatekeeper for a cellular signaling pathway called the Hedgehog pathway. This pathway is crucial for development and tissue repair, but when it's dysregulated, it can contribute to cancer.


Basal Cell Carcinoma

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

Pathological: Healthcare
Oncology / Skin Cancer

Basal cell carcinoma is a common form of skin cancer that starts in the basal cells, which are found in the deepest layer of the epidermis. It's usually slow-growing and rarely spreads to other parts of the body.


Medulloblastoma

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

Pathological: Healthcare
Oncology / Brain Cancer

Medulloblastoma is an aggressive childhood brain tumor that arises from the cerebellum, a part of the brain responsible for balance and coordination. It's often diagnosed in young children and can spread quickly.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:32:25
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 4,406,786 313,108 14.07 1 hrs 42 mins
2 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 3,971,002 301,126 13.19 1 hrs 49 mins
3 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 3,111,687 278,637 11.17 2 hrs 9 mins
4 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,448,613 257,150 9.52 2 hrs 31 mins
5 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,403,396 249,354 9.64 2 hrs 29 mins
6 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,827,259 226,163 8.08 2 hrs 58 mins
7 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,413,443 148,416 9.52 2 hrs 31 mins
8 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,342,979 208,481 6.44 3 hrs 44 mins
9 P104-100
GP104 [P104-100]
Nvidia GP104 1,037,733 193,325 5.37 4 hrs 28 mins
10 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,020,544 192,028 5.31 4 hrs 31 mins
11 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 975,397 189,207 5.16 4 hrs 39 mins
12 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 920,062 185,643 4.96 4 hrs 51 mins
13 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 870,552 190,209 4.58 5 hrs 15 mins
14 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 825,090 179,588 4.59 5 hrs 13 mins
15 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 641,826 161,486 3.97 6 hrs 2 mins
16 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 335,603 132,909 2.53 9 hrs 30 mins
17 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 244,612 133,572 1.83 13 hrs 6 mins
18 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 230,358 133,210 1.73 13 hrs 53 mins
19 P106-090
GP106 [P106-090]
Nvidia GP106 212,992 130,313 1.63 14 hrs 41 mins
20 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 89,085 68,500 1.30 18 hrs 27 mins
21 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 52,745 73,420 0.72 33 hrs 24 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:32:25
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make