RESEARCH: CANCER
FOLDING PROJECT #12916 PROFILE
PROJECT TEAM
Manager(s): Diego KleimanInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 16,225Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Proteins are like tiny machines that need to fold into the right shape to work. Sometimes, changes in their code (mutations) can mess up this folding process, leading to diseases like cancer and Alzheimer's. This project studies how these mutations affect protein folding to help us understand and maybe even 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
Large biomolecule composed of amino acids.
Proteins are essential 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.
Peptide
Short chain of amino acids linked together.
Peptides are short chains of amino acids, the building blocks of proteins. They play important roles in various biological processes, such as signaling, hormone regulation, and immune responses.
Mutation
Permanent change in the DNA sequence.
Mutations are alterations in the genetic code (DNA). They can occur spontaneously or be induced by environmental factors. Mutations can have various effects, ranging from being harmless to causing disease.
Conformation
3D shape of a molecule.
Conformation refers to the three-dimensional arrangement of atoms within a molecule. The shape of a molecule is crucial for its function.
Cancer
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 in the body.
Alzheimer's
Progressive neurodegenerative disease.
Alzheimer's disease is a brain disorder that causes memory loss, thinking problems, and behavioral changes. It is the most common form of dementia.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:54|
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 | 3,406,245 | 180,955 | 18.82 | 1 hrs 16 mins |
| 2 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,805,840 | 169,639 | 16.54 | 1 hrs 27 mins |
| 3 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,684,547 | 167,257 | 16.05 | 1 hrs 30 mins |
| 4 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,511,587 | 28,000 | 89.70 | 0 hrs 16 mins |
| 5 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 2,159,122 | 154,984 | 13.93 | 1 hrs 43 mins |
| 6 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,879,523 | 145,949 | 12.88 | 1 hrs 52 mins |
| 7 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,799,490 | 28,000 | 64.27 | 0 hrs 22 mins |
| 8 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,603,831 | 28,000 | 57.28 | 0 hrs 25 mins |
| 9 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,589,291 | 28,000 | 56.76 | 0 hrs 25 mins |
| 10 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,567,430 | 28,000 | 55.98 | 0 hrs 26 mins |
| 11 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,541,635 | 28,000 | 55.06 | 0 hrs 26 mins |
| 12 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 977,114 | 119,845 | 8.15 | 2 hrs 57 mins |
| 13 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 887,845 | 106,358 | 8.35 | 2 hrs 53 mins |
| 14 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 836,727 | 56,483 | 14.81 | 1 hrs 37 mins |
| 15 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 808,847 | 112,147 | 7.21 | 3 hrs 20 mins |
| 16 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 789,400 | 28,000 | 28.19 | 0 hrs 51 mins |
| 17 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 789,384 | 107,607 | 7.34 | 3 hrs 16 mins |
| 18 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 747,721 | 109,375 | 6.84 | 3 hrs 31 mins |
| 19 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 744,824 | 28,000 | 26.60 | 0 hrs 54 mins |
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| 20 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 653,182 | 45,562 | 14.34 | 1 hrs 40 mins |
| 21 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 555,161 | 28,000 | 19.83 | 1 hrs 13 mins |
| 22 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 333,492 | 84,403 | 3.95 | 6 hrs 4 mins |
| 23 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 322,586 | 80,274 | 4.02 | 5 hrs 58 mins |
| 24 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 280,199 | 78,865 | 3.55 | 6 hrs 45 mins |
| 25 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 269,219 | 78,170 | 3.44 | 6 hrs 58 mins |
| 26 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 266,919 | 77,719 | 3.43 | 6 hrs 59 mins |
| 27 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 229,904 | 74,243 | 3.10 | 7 hrs 45 mins |
| 28 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 166,341 | 66,172 | 2.51 | 9 hrs 33 mins |
| 29 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 155,611 | 64,694 | 2.41 | 9 hrs 59 mins |
| 30 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 100,985 | 56,091 | 1.80 | 13 hrs 20 mins |
| 31 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 88,360 | 45,432 | 1.94 | 12 hrs 20 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:54|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | PHENOM II X4 970 | 4 | AMD |