RESEARCH: CANCER
FOLDING PROJECT #14965 PROFILE
PROJECT TEAM
Manager(s): Prateek BansalInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 105,448Core: 0x22
Status: Public
Related Projects
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
Class F Receptors
A family of G protein-coupled receptors involved in cell signaling.
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.
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.
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.
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 |
|---|