RESEARCH: CANCER
FOLDING PROJECT #12137 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 95,000Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Proteins are like origami, they fold into specific shapes to work. Sometimes changes in their instructions (DNA) mess up the folding, leading to diseases. This project looks at how different protein changes affect their folding speed to help us understand and prevent these diseases.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Protein misfolding occurs when a peptide cannot fold into its native structure.
Mutations in the protein sequence may cause alterations of the native folded conformation, leading to diseases such as cancer and Alzheimer's.
Understanding protein misfolding as a function of mutations is currently one of the biggest challenges in the biological sciences.
We aim to systematically study folding rates of diverse mutated proteins to better understand and predict folding dynamics.
RELATED TERMS GLOSSARY AI BETA
Protein
A large biomolecule composed of amino acids.
Proteins are essential macromolecules found in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.
Misfolding
The failure of a protein to assume its correct three-dimensional structure.
Protein misfolding occurs when a protein cannot fold into its proper shape. This can lead to dysfunctional proteins that aggregate and cause disease.
Mutations
Changes in the DNA sequence.
Mutations are alterations in the genetic code. They can be caused by environmental factors or errors during DNA replication.
Conformation
The three-dimensional shape of a molecule.
Protein conformation refers to the specific arrangement of atoms within a protein molecule. The correct conformation is essential for proper protein function.
Cancer
A disease characterized by uncontrolled cell growth.
Cancer is a group of diseases involving abnormal cell growth and spread. It can affect various organs and tissues.
Alzheimer's
A progressive neurodegenerative disease.
Alzheimer's disease is a brain disorder that causes memory loss, cognitive decline, and behavioral changes.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:37|
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 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,181,915 | 117,754 | 69.48 | 0 hrs 21 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,886,267 | 180,551 | 43.68 | 0 hrs 33 mins |
| 3 | Instinct MI300X Aqua Vanjaram [Instinct MI300X] |
AMD | Aqua Vanjaram | 6,726,195 | 43,248 | 155.53 | 0 hrs 9 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,300,043 | 43,248 | 145.67 | 0 hrs 10 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,955,459 | 43,248 | 137.70 | 0 hrs 10 mins |
| 6 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,242,443 | 64,738 | 80.98 | 0 hrs 18 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,199,912 | 118,372 | 43.93 | 0 hrs 33 mins |
| 8 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,630,477 | 43,248 | 107.07 | 0 hrs 13 mins |
| 9 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 4,374,085 | 43,248 | 101.14 | 0 hrs 14 mins |
| 10 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 4,359,727 | 43,248 | 100.81 | 0 hrs 14 mins |
| 11 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,988,414 | 222,432 | 17.93 | 1 hrs 20 mins |
| 12 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,852,105 | 44,994 | 85.61 | 0 hrs 17 mins |
| 13 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 3,830,629 | 101,124 | 37.88 | 0 hrs 38 mins |
| 14 | Radeon PRO W6400 Navi 24 [Radeon PRO W6400] |
AMD | Navi 24 | 3,528,883 | 49,826 | 70.82 | 0 hrs 20 mins |
| 15 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,260,203 | 43,248 | 75.38 | 0 hrs 19 mins |
| 16 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,110,364 | 43,248 | 71.92 | 0 hrs 20 mins |
| 17 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,966,256 | 196,080 | 15.13 | 1 hrs 35 mins |
| 18 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,898,856 | 78,762 | 36.81 | 0 hrs 39 mins |
| 19 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,864,491 | 43,248 | 66.23 | 0 hrs 22 mins |
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| 20 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,338,236 | 43,248 | 54.07 | 0 hrs 27 mins |
| 21 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,236,542 | 159,027 | 14.06 | 1 hrs 42 mins |
| 22 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,224,577 | 43,248 | 51.44 | 0 hrs 28 mins |
| 23 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,160,739 | 43,248 | 49.96 | 0 hrs 29 mins |
| 24 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,152,569 | 43,248 | 49.77 | 0 hrs 29 mins |
| 25 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,120,719 | 43,248 | 49.04 | 0 hrs 29 mins |
| 26 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,100,004 | 58,050 | 36.18 | 0 hrs 40 mins |
| 27 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,849,913 | 173,065 | 10.69 | 2 hrs 15 mins |
| 28 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 1,717,395 | 43,248 | 39.71 | 0 hrs 36 mins |
| 29 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,492,453 | 63,014 | 23.68 | 1 hrs 1 mins |
| 30 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,366,666 | 43,248 | 31.60 | 0 hrs 46 mins |
| 31 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,345,874 | 43,248 | 31.12 | 0 hrs 46 mins |
| 32 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,173,582 | 46,079 | 25.47 | 0 hrs 57 mins |
| 33 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,089,852 | 136,787 | 7.97 | 3 hrs 1 mins |
| 34 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 602,043 | 117,817 | 5.11 | 4 hrs 42 mins |
| 35 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 432,353 | 43,248 | 10.00 | 2 hrs 24 mins |
| 36 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 416,071 | 43,248 | 9.62 | 2 hrs 30 mins |
| 37 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 359,276 | 43,248 | 8.31 | 2 hrs 53 mins |
| 38 | Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP] |
AMD | Polaris 20 XL | 338,626 | 43,248 | 7.83 | 3 hrs 4 mins |
| 39 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 296,380 | 43,248 | 6.85 | 3 hrs 30 mins |
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| 40 | Quadro M5000 GM204GL [Quadro M5000] |
Nvidia | GM204GL | 291,871 | 43,248 | 6.75 | 3 hrs 33 mins |
| 41 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 245,494 | 78,135 | 3.14 | 7 hrs 38 mins |
| 42 | Quadro K5200 GK110 [Quadro K5200] |
Nvidia | GK110 | 237,136 | 43,248 | 5.48 | 4 hrs 23 mins |
| 43 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 201,709 | 82,415 | 2.45 | 9 hrs 48 mins |
| 44 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 190,911 | 43,248 | 4.41 | 5 hrs 26 mins |
| 45 | Quadro T400 Mobile TU117GLM [Quadro T400 Mobile] |
Nvidia | TU117GLM | 151,061 | 43,248 | 3.49 | 6 hrs 52 mins |
| 46 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 73,913 | 52,760 | 1.40 | 17 hrs 8 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:37|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|