RESEARCH: CANCER
FOLDING PROJECT #14962 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 proteins called Class F Receptors and Patched that help control how cells develop. When these proteins are overactive or inactive, they can cause cancers like Basal Cell Carcinoma and Medulloblastoma. By using computer simulations, scientists hope to understand how these proteins work so they can better study and 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

Receptors belonging to a class of G protein-coupled receptors.

Technical: Biotechnology
Cellular Biology / Signal Transduction

Class F receptors are a type of protein found on the surface of cells that receive signals from other molecules. These signals trigger changes inside the cell, controlling processes like growth and development. Scientists are studying Class F receptors because they play a role in diseases like basal cell carcinoma.


Patched

A transmembrane protein that regulates the activity of Hedgehog signaling pathway.

Technical: Biotechnology
Cellular Biology / Signal Transduction

Patched is a protein found on the surface of cells. It acts as a brake on the Hedgehog signaling pathway, which is important for controlling cell growth and development. When Patched is not working properly, it can lead to problems like cancer.


Basal Cell Carcinoma

A type of skin cancer that arises from the basal cells.

Medical: Medicine
Oncology / Skin Cancer

Basal cell carcinoma is the most common type of skin cancer. It starts in the basal cells, which are found in the deepest layer of the epidermis (skin). Basal cell carcinoma usually grows slowly and rarely spreads to other parts of the body.


Medulloblastoma

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

Medical: Medicine
Oncology / Brain Tumors

Medulloblastoma is a serious type of childhood brain cancer. It starts in the cerebellum, which is responsible for controlling balance and movement. Medulloblastoma can spread to other parts of the brain and body.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:32:26
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 4,417,408 313,551 14.09 1 hrs 42 mins
2 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 4,390,810 312,444 14.05 1 hrs 42 mins
3 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 3,085,541 277,753 11.11 2 hrs 10 mins
4 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,745,879 268,178 10.24 2 hrs 21 mins
5 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,386,618 244,555 9.76 2 hrs 28 mins
6 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,343,277 248,035 9.45 2 hrs 32 mins
7 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,092,567 239,406 8.74 2 hrs 45 mins
8 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,066,981 242,526 8.52 2 hrs 49 mins
9 Quadro RTX 5000 Mobile / Max-Q
TU104GLM [Quadro RTX 5000 Mobile / Max-Q]
Nvidia TU104GLM 1,942,553 238,125 8.16 2 hrs 57 mins
10 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,904,008 236,559 8.05 2 hrs 59 mins
11 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,298,563 209,573 6.20 3 hrs 52 mins
12 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,226,912 208,414 5.89 4 hrs 5 mins
13 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,174,844 205,001 5.73 4 hrs 11 mins
14 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,131,476 199,123 5.68 4 hrs 13 mins
15 P104-100
GP104 [P104-100]
Nvidia GP104 1,041,432 193,648 5.38 4 hrs 28 mins
16 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 989,075 190,517 5.19 4 hrs 37 mins
17 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 650,553 164,692 3.95 6 hrs 5 mins
18 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 623,497 163,954 3.80 6 hrs 19 mins
19 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 313,934 68,500 4.58 5 hrs 14 mins
20 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 270,333 122,870 2.20 10 hrs 54 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:32:26
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make