RESEARCH: CANCER
FOLDING PROJECT #12126 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 need to fold into specific shapes to work right. Sometimes changes in a protein's code can mess up this folding, causing diseases like cancer and Alzheimer's. This project is trying to figure out how these changes affect how proteins fold so we can better understand and treat 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
Large biomolecules essential for various cellular functions.
Proteins are complex molecules found in all living things. They perform many vital roles, such as building and repairing tissues, transporting substances, and catalyzing chemical reactions.
Misfolding
An incorrect three-dimensional shape adopted by a protein.
Protein misfolding happens when a protein doesn't fold into its correct shape. This can lead to problems with the protein's function and cause diseases.
Mutation
A permanent change in the DNA sequence.
Mutations are changes in the genetic code. They can be caused by errors during DNA replication or exposure to mutagens like radiation. Mutations can have various effects on organisms, including no effect, beneficial effects, or harmful effects.
Alzheimer's
A progressive neurodegenerative disease.
Alzheimer's disease is a brain disorder that causes memory loss, thinking problems, and behavioral changes. It is the most common cause of dementia.
Cancer
Uncontrolled cell growth and spread.
Cancer is a group of diseases characterized by the abnormal growth and spread of cells. It can affect any part of the body.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:42|
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 | 9,837,123 | 209,349 | 46.99 | 0 hrs 31 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,691,043 | 204,411 | 47.41 | 0 hrs 30 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,658,672 | 163,273 | 53.03 | 0 hrs 27 mins |
| 4 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 6,693,473 | 256,935 | 26.05 | 0 hrs 55 mins |
| 5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,213,753 | 183,962 | 33.78 | 0 hrs 43 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,938,925 | 41,638 | 142.63 | 0 hrs 10 mins |
| 7 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,679,145 | 229,148 | 24.78 | 0 hrs 58 mins |
| 8 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,667,519 | 92,696 | 61.14 | 0 hrs 24 mins |
| 9 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,878,941 | 215,019 | 22.69 | 1 hrs 3 mins |
| 10 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,756,465 | 116,550 | 40.81 | 0 hrs 35 mins |
| 11 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,917,430 | 216,649 | 18.08 | 1 hrs 20 mins |
| 12 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,645,223 | 144,202 | 25.28 | 0 hrs 57 mins |
| 13 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,451,889 | 41,638 | 82.90 | 0 hrs 17 mins |
| 14 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,062,233 | 161,632 | 18.95 | 1 hrs 16 mins |
| 15 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,814,568 | 198,080 | 14.21 | 1 hrs 41 mins |
| 16 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,619,953 | 158,991 | 16.48 | 1 hrs 27 mins |
| 17 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,329,249 | 50,000 | 46.58 | 0 hrs 31 mins |
| 18 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,250,999 | 177,450 | 12.69 | 1 hrs 54 mins |
| 19 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,221,703 | 41,638 | 53.36 | 0 hrs 27 mins |
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| 20 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,147,792 | 124,061 | 17.31 | 1 hrs 23 mins |
| 21 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,118,459 | 175,677 | 12.06 | 1 hrs 59 mins |
| 22 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,084,496 | 138,563 | 15.04 | 1 hrs 36 mins |
| 23 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,032,104 | 56,871 | 35.73 | 0 hrs 40 mins |
| 24 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,023,829 | 172,275 | 11.75 | 2 hrs 3 mins |
| 25 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,852,200 | 171,535 | 10.80 | 2 hrs 13 mins |
| 26 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,601,576 | 159,777 | 10.02 | 2 hrs 24 mins |
| 27 | Radeon VII Vega 20 [Radeon VII] |
AMD | Vega 20 | 1,581,946 | 41,638 | 37.99 | 0 hrs 38 mins |
| 28 | Radeon 740M/760M/780M Phoenix [Radeon 740M/760M/780M] |
AMD | Phoenix | 1,341,778 | 125,837 | 10.66 | 2 hrs 15 mins |
| 29 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,336,652 | 151,046 | 8.85 | 2 hrs 43 mins |
| 30 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,194,968 | 41,638 | 28.70 | 0 hrs 50 mins |
| 31 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,148,430 | 142,913 | 8.04 | 2 hrs 59 mins |
| 32 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,141,468 | 41,638 | 27.41 | 0 hrs 53 mins |
| 33 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,073,132 | 118,188 | 9.08 | 2 hrs 39 mins |
| 34 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,068,135 | 75,759 | 14.10 | 1 hrs 42 mins |
| 35 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,019,976 | 41,638 | 24.50 | 0 hrs 59 mins |
| 36 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 723,945 | 122,548 | 5.91 | 4 hrs 4 mins |
| 37 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 723,177 | 122,610 | 5.90 | 4 hrs 4 mins |
| 38 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 702,851 | 121,804 | 5.77 | 4 hrs 10 mins |
| 39 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 692,155 | 41,638 | 16.62 | 1 hrs 27 mins |
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| 40 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 642,246 | 41,638 | 15.42 | 1 hrs 33 mins |
| 41 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 596,300 | 41,638 | 14.32 | 1 hrs 41 mins |
| 42 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 573,229 | 41,638 | 13.77 | 1 hrs 45 mins |
| 43 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 573,098 | 41,638 | 13.76 | 1 hrs 45 mins |
| 44 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 555,551 | 41,638 | 13.34 | 1 hrs 48 mins |
| 45 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 495,472 | 52,960 | 9.36 | 2 hrs 34 mins |
| 46 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 488,524 | 104,706 | 4.67 | 5 hrs 9 mins |
| 47 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 480,781 | 41,638 | 11.55 | 2 hrs 5 mins |
| 48 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 415,522 | 96,498 | 4.31 | 5 hrs 34 mins |
| 49 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 260,931 | 49,849 | 5.23 | 4 hrs 35 mins |
| 50 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 215,251 | 41,638 | 5.17 | 4 hrs 39 mins |
| 51 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 198,206 | 80,209 | 2.47 | 9 hrs 43 mins |
| 52 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 157,919 | 41,638 | 3.79 | 6 hrs 20 mins |
| 53 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 143,430 | 71,777 | 2.00 | 12 hrs 1 mins |
| 54 | Radeon RX 460/560D Baffin [Radeon RX 460/560D] |
AMD | Baffin | 100,432 | 41,638 | 2.41 | 9 hrs 57 mins |
| 55 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 82,235 | 59,394 | 1.38 | 17 hrs 20 mins |
| 56 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 74,909 | 41,638 | 1.80 | 13 hrs 20 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:42|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | CORE I7-8705G CPU @ 3.10GHZ | 8 | Intel | ||
| 2 | XEON CPU E3-1231 V3 @ 3.40GHZ | 8 | Intel |