RESEARCH: CANCER
FOLDING PROJECT #15200 PROFILE
PROJECT TEAM
Manager(s): Eric GiavedoniInstitution: University of Illinois at Urbana-Champaign
Project URL: View Project Website
WORK UNIT INFO
Atoms: 365,961Core: 0x24
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project explores how PTCH1, a protein that regulates cell growth, moves cholesterol to control cancer-causing signals. Problems with this process can lead to cancers like medulloblastoma and basal cell carcinoma. Understanding how PTCH1 works could help develop new cancer treatments.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
This project aims to elucidate the cholesterol transport mechanism in PTCH1, a transmembrane protein responsible for inhibiting SMO in the absence of SHH in the hedgehog signaling pathway by reducing access to ciliary membrane cholesterol.
Dysregulation of this pathway (such as the inability of PTCH1 to transport cholesterol and thereby inhibit SMO) has been linked to various cancers, including medulloblastoma and basal cell carcinoma.
Thus, understanding the mechanisms behind PTCH1 cholesterol transport will allow for therapeutic treatments to target these cancers..
RELATED TERMS GLOSSARY AI BETA
PTCH1
Patched 1 protein, a transmembrane receptor involved in the Hedgehog pathway.
PTCH1 is a protein found on cell surfaces. It plays a crucial role in the Hedgehog signaling pathway, which controls important processes like cell growth and development. PTCH1 normally blocks another protein called SMO when there's no Hedgehog signal present. This helps regulate cell division and prevent uncontrolled growth.
SMO
Smoothened
SMO is a protein that acts as a switch in the Hedgehog signaling pathway. When PTCH1 detects a Hedgehog signal, it releases SMO, allowing it to activate downstream signals that promote cell growth and division.
SHH
Sonic Hedgehog
SHH is a signaling molecule that triggers the Hedgehog pathway. It plays a vital role in embryonic development and tissue regeneration.
cholesterol transport
The movement of cholesterol molecules within and between cells.
Cholesterol transport involves the movement of cholesterol molecules through the body. Cells need cholesterol for various functions, such as building cell membranes and producing hormones.
transmembrane protein
A protein that spans the entire width of a cell membrane.
Transmembrane proteins are embedded within cell membranes. They often act as channels or receptors, allowing molecules to pass through or receive signals from outside the cell.
cancer
A group of diseases characterized by uncontrolled cell growth.
Cancer is a broad term for diseases where cells grow and divide uncontrollably. This can lead to tumors and the spread of cancer to other parts of the body.
medulloblastoma
A type of malignant brain tumor that originates in the cerebellum.
Medulloblastoma is a highly aggressive form of brain cancer that develops in the cerebellum, a part of the brain responsible for balance and coordination.
basal cell carcinoma
The most common type of skin cancer.
Basal cell carcinoma is a type of skin cancer that starts in the basal cells, which are found in the lowest layer of the epidermis (outer layer of skin). It often appears as a pearly or waxy bump and usually grows slowly.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Monday, 20 October 2025 16:20:49|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | GeForce RTX 5090 GB202 [GeForce RTX 5090] |
Nvidia | GB202 | 38,960,155 | 120,000 | 324.67 | 0 hrs 4 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 24,464,091 | 438,037 | 55.85 | 0 hrs 26 mins |
| 3 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 19,879,284 | 120,000 | 165.66 | 0 hrs 9 mins |
| 4 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 18,237,531 | 253,996 | 71.80 | 0 hrs 20 mins |
| 5 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 16,602,162 | 147,337 | 112.68 | 0 hrs 13 mins |
| 6 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 13,097,138 | 311,104 | 42.10 | 0 hrs 34 mins |
| 7 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,855,042 | 852,077 | 13.91 | 2 hrs 43 mins |
| 8 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 11,400,520 | 120,000 | 95.00 | 0 hrs 15 mins |
| 9 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 11,260,393 | 120,000 | 93.84 | 0 hrs 15 mins |
| 10 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 10,028,444 | 420,601 | 23.84 | 1 hrs 0 mins |
| 11 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 7,249,537 | 425,900 | 17.02 | 1 hrs 25 mins |
| 12 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 6,508,899 | 993,008 | 6.55 | 4 hrs 40 mins |
| 13 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,959,137 | 120,000 | 49.66 | 0 hrs 29 mins |
| 14 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 5,935,338 | 120,000 | 49.46 | 0 hrs 29 mins |
| 15 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,509,932 | 180,983 | 19.39 | 1 hrs 14 mins |
| 16 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,343,447 | 120,000 | 27.86 | 0 hrs 52 mins |
| 17 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 3,318,108 | 561,142 | 5.91 | 4 hrs 4 mins |
| 18 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,270,680 | 120,000 | 27.26 | 0 hrs 53 mins |
| 19 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,104,117 | 120,000 | 17.53 | 1 hrs 22 mins |
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| 20 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,534,887 | 120,000 | 12.79 | 2 hrs 53 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Monday, 20 October 2025 16:20:49|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
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