RESEARCH: CANCER
FOLDING PROJECT #14964 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 studies Class F Receptors and Patched proteins. These help control how cells grow and change. When they don't work right, it can cause cancers like Basal Cell Carcinoma and Medulloblastoma. By using computer models, we hope to learn how these proteins work so we can better understand 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

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 outside the cell and relaying them to the inside, influencing processes like cell growth, differentiation, and survival. Dysregulation of these receptors is linked to various diseases, including cancers.


Patched Membrane Protein

A transmembrane protein that acts as a receptor for Hedgehog signaling.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Patched is a protein found on the cell surface. It's part of the Hedgehog signaling pathway, which is essential for embryonic development and tissue repair. When Hedgehog binds to Patched, it triggers a cascade of events inside the cell, influencing gene expression and cell behavior. Mutations in Patched are associated with developmental disorders and cancers.


Basal Cell Carcinoma

The most common type of skin cancer, arising from the basal cells.

Medical: Medicine
Oncology / Skin Cancer

Basal Cell Carcinoma is a slow-growing form of skin cancer that originates in the basal layer of the epidermis. It often appears as a pearly or waxy bump and can be treated effectively with surgery, radiation therapy, or topical medications.


Medulloblastoma

A malignant tumor that arises in the cerebellum.

Medical: Medicine
Oncology / Brain Tumors

Medulloblastoma is a highly aggressive type of brain cancer that primarily affects children. It originates in the cerebellum, which controls balance and coordination. Treatment typically involves surgery, radiation therapy, and chemotherapy.

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 4,421,692 313,922 14.09 1 hrs 42 mins
2 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 3,968,345 302,879 13.10 1 hrs 50 mins
3 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 3,052,339 277,108 11.01 2 hrs 11 mins
4 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,622,537 263,748 9.94 2 hrs 25 mins
5 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,336,368 247,083 9.46 2 hrs 32 mins
6 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,197,316 230,569 9.53 2 hrs 31 mins
7 Quadro RTX 5000 Mobile / Max-Q
TU104GLM [Quadro RTX 5000 Mobile / Max-Q]
Nvidia TU104GLM 1,951,083 238,498 8.18 2 hrs 56 mins
8 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,837,272 234,160 7.85 3 hrs 4 mins
9 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,352,652 211,865 6.38 3 hrs 46 mins
10 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,209,216 181,156 6.67 3 hrs 36 mins
11 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,047,668 192,613 5.44 4 hrs 25 mins
12 P104-100
GP104 [P104-100]
Nvidia GP104 1,020,228 192,044 5.31 4 hrs 31 mins
13 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 945,497 146,078 6.47 3 hrs 42 mins
14 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 897,472 184,578 4.86 4 hrs 56 mins
15 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 894,264 177,915 5.03 4 hrs 46 mins
16 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 868,855 182,475 4.76 5 hrs 2 mins
17 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 838,101 178,025 4.71 5 hrs 6 mins
18 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 635,751 163,290 3.89 6 hrs 10 mins
19 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 538,152 165,608 3.25 7 hrs 23 mins
20 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 372,967 152,386 2.45 9 hrs 48 mins
21 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 249,178 131,424 1.90 12 hrs 39 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