RESEARCH: CANCER
FOLDING PROJECT #12127 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 sometimes fold incorrectly, causing diseases like cancer and Alzheimer's. This project studies how changes in protein code affect how they fold to better understand and predict these issues.
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
Large biomolecule essential for various bodily functions.
Proteins are complex molecules made up of amino acids. They perform a wide range of functions in living organisms, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.
Misfolding
Failure of a protein to assume its correct three-dimensional shape.
Misfolding occurs when a protein does not fold into its proper shape. This can disrupt the protein's function and lead to various diseases.
Peptide
Short chain of amino acids linked together.
Peptides are short chains of amino acids. They often serve as building blocks for larger proteins.
Mutations
Changes in the DNA sequence.
Mutations are alterations in the genetic code. They can be caused by errors during DNA replication or exposure to mutagens.
Conformation
Three-dimensional shape of a molecule.
Conformation refers to the specific arrangement of atoms in a molecule. It is crucial for the function of proteins and other biomolecules.
Cancer
Uncontrolled cell growth.
Cancer is a disease characterized by the uncontrolled growth and spread of abnormal cells. It can affect various parts of the body.
Alzheimer's
Alzheimer's disease (AD)
Alzheimer's disease is a progressive neurodegenerative disorder that causes memory loss, cognitive decline, and behavioral changes.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:41|
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 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 10,183,113 | 202,178 | 50.37 | 0 hrs 29 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,034,379 | 206,971 | 43.65 | 0 hrs 33 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,921,716 | 156,580 | 56.98 | 0 hrs 25 mins |
| 4 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 6,559,384 | 255,500 | 25.67 | 0 hrs 56 mins |
| 5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,314,958 | 195,576 | 32.29 | 0 hrs 45 mins |
| 6 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,894,516 | 254,908 | 23.12 | 1 hrs 2 mins |
| 7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,817,823 | 78,677 | 73.95 | 0 hrs 19 mins |
| 8 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,607,196 | 43,945 | 127.60 | 0 hrs 11 mins |
| 9 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,926,394 | 240,713 | 20.47 | 1 hrs 10 mins |
| 10 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,279,409 | 189,574 | 22.57 | 1 hrs 4 mins |
| 11 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,112,178 | 133,306 | 30.85 | 0 hrs 47 mins |
| 12 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,491,972 | 192,844 | 18.11 | 1 hrs 20 mins |
| 13 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,126,756 | 61,177 | 51.11 | 0 hrs 28 mins |
| 14 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,914,441 | 211,470 | 13.78 | 1 hrs 44 mins |
| 15 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,691,236 | 189,133 | 14.23 | 1 hrs 41 mins |
| 16 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,595,419 | 194,339 | 13.36 | 1 hrs 48 mins |
| 17 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,399,383 | 43,945 | 54.60 | 0 hrs 26 mins |
| 18 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,361,109 | 127,329 | 18.54 | 1 hrs 18 mins |
| 19 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,162,832 | 67,053 | 32.26 | 0 hrs 45 mins |
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| 20 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,081,371 | 49,818 | 41.78 | 0 hrs 34 mins |
| 21 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,069,871 | 179,986 | 11.50 | 2 hrs 5 mins |
| 22 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,958,418 | 177,180 | 11.05 | 2 hrs 10 mins |
| 23 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 1,934,251 | 50,000 | 38.69 | 0 hrs 37 mins |
| 24 | Radeon VII Vega 20 [Radeon VII] |
AMD | Vega 20 | 1,782,057 | 50,000 | 35.64 | 0 hrs 40 mins |
| 25 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,692,857 | 73,656 | 22.98 | 1 hrs 3 mins |
| 26 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,616,450 | 43,945 | 36.78 | 0 hrs 39 mins |
| 27 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,502,889 | 162,218 | 9.26 | 2 hrs 35 mins |
| 28 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,401,985 | 158,807 | 8.83 | 2 hrs 43 mins |
| 29 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,239,223 | 151,482 | 8.18 | 2 hrs 56 mins |
| 30 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,189,556 | 77,550 | 15.34 | 1 hrs 34 mins |
| 31 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,120,908 | 146,290 | 7.66 | 3 hrs 8 mins |
| 32 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,120,147 | 148,359 | 7.55 | 3 hrs 11 mins |
| 33 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,060,939 | 74,841 | 14.18 | 1 hrs 42 mins |
| 34 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 711,165 | 126,882 | 5.60 | 4 hrs 17 mins |
| 35 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 691,339 | 51,073 | 13.54 | 1 hrs 46 mins |
| 36 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 689,679 | 43,945 | 15.69 | 1 hrs 32 mins |
| 37 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 654,829 | 127,277 | 5.14 | 4 hrs 40 mins |
| 38 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 620,062 | 43,945 | 14.11 | 1 hrs 42 mins |
| 39 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 565,845 | 43,945 | 12.88 | 1 hrs 52 mins |
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| 40 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 529,291 | 112,982 | 4.68 | 5 hrs 7 mins |
| 41 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 513,762 | 43,945 | 11.69 | 2 hrs 3 mins |
| 42 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 458,118 | 43,945 | 10.42 | 2 hrs 18 mins |
| 43 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 400,314 | 104,658 | 3.82 | 6 hrs 16 mins |
| 44 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 360,108 | 99,945 | 3.60 | 6 hrs 40 mins |
| 45 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 258,462 | 88,728 | 2.91 | 8 hrs 14 mins |
| 46 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 220,331 | 43,945 | 5.01 | 4 hrs 47 mins |
| 47 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 202,926 | 93,705 | 2.17 | 11 hrs 5 mins |
| 48 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 156,049 | 43,945 | 3.55 | 6 hrs 46 mins |
| 49 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 151,522 | 46,392 | 3.27 | 7 hrs 21 mins |
| 50 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 145,760 | 74,948 | 1.94 | 12 hrs 20 mins |
| 51 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 92,528 | 44,127 | 2.10 | 11 hrs 27 mins |
| 52 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 88,407 | 50,761 | 1.74 | 13 hrs 47 mins |
| 53 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 85,431 | 62,290 | 1.37 | 17 hrs 30 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:41|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|