RESEARCH: CANCER
FOLDING PROJECT #12917 PROFILE
PROJECT TEAM
Manager(s): Diego KleimanInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 17,539Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Protein misfolding happens when a protein can't fold properly. Changes in the protein's code can cause this, leading to diseases like cancer and Alzheimer's. The project relates to studying how these changes affect how proteins fold so we can better understand and predict these problems.
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 biological functions.
Proteins are complex molecules 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. Protein misfolding, where a protein fails to adopt its correct 3-dimensional shape, can lead to various diseases.
Misfolding
The process where a protein fails to adopt its correct 3-dimensional structure.
Misfolding occurs when a protein doesn't fold properly into its intended shape. This can disrupt the protein's function and lead to various health problems. Understanding misfolding is crucial for developing treatments for diseases like Alzheimer's and Parkinson's.
Mutations
Permanent alterations in the DNA sequence.
Mutations are changes in the genetic code. They can occur spontaneously or be induced by environmental factors. Mutations can have a wide range of effects, from being harmless to causing disease.
Cancer
A disease characterized by uncontrolled cell growth.
Cancer is a group of diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body. Mutations in genes that regulate cell growth can contribute to cancer development.
Alzheimer's
A progressive neurodegenerative disease.
Alzheimer's disease is a brain disorder that gradually destroys memory and thinking skills. Protein misfolding and accumulation are implicated in the development of Alzheimer's.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:53|
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 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 3,401,328 | 194,625 | 17.48 | 1 hrs 22 mins |
| 2 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,520,735 | 171,562 | 14.69 | 1 hrs 38 mins |
| 3 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,341,664 | 31,200 | 75.05 | 0 hrs 19 mins |
| 4 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 2,136,633 | 166,462 | 12.84 | 1 hrs 52 mins |
| 5 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,931,859 | 159,670 | 12.10 | 1 hrs 59 mins |
| 6 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,547,303 | 149,732 | 10.33 | 2 hrs 19 mins |
| 7 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 982,759 | 129,178 | 7.61 | 3 hrs 9 mins |
| 8 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 905,368 | 125,213 | 7.23 | 3 hrs 19 mins |
| 9 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 834,877 | 81,621 | 10.23 | 2 hrs 21 mins |
| 10 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 826,215 | 118,662 | 6.96 | 3 hrs 27 mins |
| 11 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 730,127 | 31,200 | 23.40 | 1 hrs 2 mins |
| 12 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 708,391 | 68,673 | 10.32 | 2 hrs 20 mins |
| 13 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 705,156 | 50,695 | 13.91 | 1 hrs 44 mins |
| 14 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 702,467 | 114,938 | 6.11 | 3 hrs 56 mins |
| 15 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 581,106 | 92,719 | 6.27 | 3 hrs 50 mins |
| 16 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 534,117 | 49,881 | 10.71 | 2 hrs 14 mins |
| 17 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 400,445 | 101,522 | 3.94 | 6 hrs 5 mins |
| 18 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 358,411 | 84,206 | 4.26 | 5 hrs 38 mins |
| 19 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 327,230 | 88,777 | 3.69 | 6 hrs 31 mins |
|
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| 20 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 290,543 | 85,822 | 3.39 | 7 hrs 5 mins |
| 21 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 277,863 | 84,678 | 3.28 | 7 hrs 19 mins |
| 22 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 259,414 | 84,534 | 3.07 | 7 hrs 49 mins |
| 23 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 154,334 | 69,628 | 2.22 | 10 hrs 50 mins |
| 24 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 129,874 | 31,200 | 4.16 | 5 hrs 46 mins |
| 25 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 83,645 | 62,757 | 1.33 | 18 hrs 0 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:53|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|