RESEARCH: CANCER
FOLDING PROJECT #14965 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 proteins called Class F Receptors and Patched work. These proteins help control how cells grow and change. Problems with these proteins can lead to cancers like Basal Cell Carcinoma and Medulloblastoma. By studying how they work, we hope to better understand 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 family of G protein-coupled receptors involved in cell signaling.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Class F Receptors are a group of proteins found on the surface of cells that receive signals from other molecules. These signals can trigger various cellular responses, including changes in growth and differentiation. Dysregulation of Class F Receptor activity has been linked to certain cancers.


Patched

A protein that regulates the activity of Hedgehog signaling pathway.

Scientific: Biotechnology
Cellular Biology / Signal Transduction

Patched is a transmembrane protein that acts as a negative regulator of the Hedgehog signaling pathway. This pathway plays a crucial role in embryonic development and tissue homeostasis. Mutations or dysregulation of Patched can lead to uncontrolled cell growth and contribute to the development of various cancers.


Basal Cell Carcinoma

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

Medical: Healthcare
Oncology / Skin Cancer

Basal cell carcinoma is a slow-growing form of skin cancer that arises from the basal layer of the epidermis. It often presents as pearly or waxy bumps, sometimes with visible blood vessels. While generally less aggressive than other skin cancers, it can spread to surrounding tissues if left untreated.


Medulloblastoma

A malignant brain tumor that originates in the cerebellum.

Medical: Healthcare
Oncology / Pediatric Brain Tumors

Medulloblastoma is an aggressive type of childhood brain cancer that develops from cells in the cerebellum, a part of the brain responsible for coordination and balance. It can spread to other parts of the brain and spinal cord. Treatment typically involves surgery, radiation therapy, and chemotherapy.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:32:24
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 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 3,062,528 277,169 11.05 2 hrs 10 mins
2 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,636,006 262,016 10.06 2 hrs 23 mins
3 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,464,202 257,252 9.58 2 hrs 30 mins
4 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,172,142 247,849 8.76 2 hrs 44 mins
5 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,875,486 235,336 7.97 3 hrs 1 mins
6 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,454,209 216,674 6.71 3 hrs 35 mins
7 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,326,119 209,964 6.32 3 hrs 48 mins
8 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,238,720 205,461 6.03 3 hrs 59 mins
9 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 1,163,580 200,707 5.80 4 hrs 8 mins
10 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,097,177 195,988 5.60 4 hrs 17 mins
11 P104-100
GP104 [P104-100]
Nvidia GP104 1,047,047 194,499 5.38 4 hrs 27 mins
12 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 842,283 189,256 4.45 5 hrs 24 mins
13 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 810,905 177,808 4.56 5 hrs 16 mins
14 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 798,308 175,407 4.55 5 hrs 16 mins
15 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 739,624 173,136 4.27 5 hrs 37 mins
16 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 481,288 149,884 3.21 7 hrs 28 mins
17 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 306,763 128,857 2.38 10 hrs 5 mins
18 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 162,295 80,885 2.01 11 hrs 58 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:32:24
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make