RESEARCH: CANCER
FOLDING PROJECT #18451 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 40,908Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies how tiny proteins fold into their shapes and how changes to their code affect folding. They'll use computer simulations and experiments to understand this process in proteins like GB1, hpin1 WW domain, and MeCP2, which is linked to Rett syndrome.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
The function of a protein depends on its native shape, or fold.
Deciphering the sequence-dependent process by which proteins reach their folded state has been the goal of much experimental and computational work, and the inspiration for the e Folding@home project.
Small “fast folding” mini-proteins, such as the protein G B1 domain (GB1) and hpin1 WW domain, have been studied extensively both experimentally and through simulation, producing a wealth of data on wild-type protein function, and much insight on how mutations affect the folding reaction.
In 2022, the Voelz lab published a study on the folding reaction of a transcription factor, FOXO1, in which a simple hydrophobic transfer model was used to accurately predict mutational effects from models derived from massively parallel Folding@home simulations (Novack et al.).
We found that this model made more accurate predictions than other state of the art methods of mutational analysis.
We hypothesize that this is because our simulations have more accurate descriptions of the unfolded ensemble of a protein than other methods, highlighting the importance of adequately describing the unfolded state of a protein in determining mutational effects on folding reaction.
In these projects, we aim to validate this hypothesis on the well studied miniproteins GB1 and hpin1 WW domain, as well as the MeCP2 protein.
MeCP2 is a protein that binds methylated DNA and is found in high levels in nerve cells.
the main disease associated with mutations of MeCP2 is Rett syndrome, a neurological disorder that severely impairs people’s ability to speak, walk, eat, and breathe.
The gene lives on X chromosomes, thus for people with an XY chromosomal configuration (lacking a complimentary natively functioning gene), this disease can be fatal within the first 2 years due to encephalopathy.
There are at least 4668 mutational variants of MeCP2 identified, with 1171 being in the only structured region of the protein, the MBD.
Stability effects of mutation in MeCP2 have been investigated both experimentally and computationally, which makes it a promising test case for both validation of hydrophobic transfer as a model of mutation effects, as well as an opportunity to gain atomic insight that can elucidate new avenues for therapeutics targeting MeCP2.
RELATED TERMS GLOSSARY AI BETA
Protein
Large biomolecule essential for various biological functions.
Proteins are complex molecules that perform many vital roles in living organisms. They act as catalysts, structural components, transport molecules, and more. Understanding protein structure and function is crucial for advancements in medicine and biotechnology.
Fold
The three-dimensional shape of a protein.
The fold refers to the unique 3D structure that a protein adopts. This shape is crucial for its function as it determines how the protein interacts with other molecules. Protein folding is a complex process influenced by various factors.
Mutation
A change in the DNA sequence.
Mutations are alterations in the genetic code (DNA). They can occur spontaneously or be induced by environmental factors. Some mutations are harmless, while others can lead to diseases or altered traits.
Transcription Factor
A protein that regulates gene expression.
Transcription factors are proteins that control the process of gene transcription. They bind to specific DNA sequences and either activate or repress the expression of genes.
FOXO1
Forkhead box O1 transcription factor.
FOXO1 is a specific type of transcription factor involved in regulating various cellular processes, including cell growth, metabolism, and stress response.
MeCP2
Methyl-CpG-binding protein 2.
MeCP2 is a protein that binds to methylated DNA and plays a role in gene regulation. Mutations in the MeCP2 gene can cause Rett syndrome.
Rett Syndrome
A rare neurodevelopmental disorder.
Rett syndrome is a severe neurological disorder primarily affecting females. It is characterized by developmental regression, intellectual disability, and repetitive hand movements.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:28:56|
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 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,817,063 | 140,596 | 20.04 | 1 hrs 12 mins |
| 2 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,937,313 | 121,802 | 15.91 | 1 hrs 31 mins |
| 3 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,816,440 | 122,478 | 14.83 | 1 hrs 37 mins |
| 4 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,791,257 | 121,855 | 14.70 | 1 hrs 38 mins |
| 5 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,759,041 | 120,492 | 14.60 | 1 hrs 39 mins |
| 6 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,676,115 | 118,256 | 14.17 | 1 hrs 42 mins |
| 7 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,652,925 | 115,313 | 14.33 | 1 hrs 40 mins |
| 8 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,623,816 | 117,764 | 13.79 | 1 hrs 44 mins |
| 9 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,604,642 | 117,681 | 13.64 | 1 hrs 46 mins |
| 10 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,487,431 | 106,436 | 13.97 | 1 hrs 43 mins |
| 11 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,342,163 | 92,196 | 14.56 | 1 hrs 39 mins |
| 12 | Tesla P100 16GB GP100GL [Tesla P100 16GB] 9340 |
Nvidia | GP100GL | 1,239,934 | 103,502 | 11.98 | 2 hrs 0 mins |
| 13 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,197,743 | 105,835 | 11.32 | 2 hrs 7 mins |
| 14 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 1,187,419 | 100,012 | 11.87 | 2 hrs 1 mins |
| 15 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,151,164 | 102,301 | 11.25 | 2 hrs 8 mins |
| 16 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,148,899 | 104,318 | 11.01 | 2 hrs 11 mins |
| 17 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,121,130 | 103,669 | 10.81 | 2 hrs 13 mins |
| 18 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,018,418 | 100,598 | 10.12 | 2 hrs 22 mins |
| 19 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,017,406 | 95,678 | 10.63 | 2 hrs 15 mins |
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| 20 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,013,104 | 99,735 | 10.16 | 2 hrs 22 mins |
| 21 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 933,053 | 97,541 | 9.57 | 2 hrs 31 mins |
| 22 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 932,488 | 97,656 | 9.55 | 2 hrs 31 mins |
| 23 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 771,185 | 91,036 | 8.47 | 2 hrs 50 mins |
| 24 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 747,089 | 88,066 | 8.48 | 2 hrs 50 mins |
| 25 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 743,784 | 89,931 | 8.27 | 2 hrs 54 mins |
| 26 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 711,863 | 85,788 | 8.30 | 2 hrs 54 mins |
| 27 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 672,480 | 87,515 | 7.68 | 3 hrs 7 mins |
| 28 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 668,456 | 86,663 | 7.71 | 3 hrs 7 mins |
| 29 | GeForce GTX 1060 6GB GP104 [GeForce GTX 1060 6GB] |
Nvidia | GP104 | 657,195 | 87,503 | 7.51 | 3 hrs 12 mins |
| 30 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 622,068 | 79,762 | 7.80 | 3 hrs 5 mins |
| 31 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 517,744 | 82,034 | 6.31 | 3 hrs 48 mins |
| 32 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 507,121 | 79,593 | 6.37 | 3 hrs 46 mins |
| 33 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 498,728 | 78,073 | 6.39 | 3 hrs 45 mins |
| 34 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 468,818 | 74,175 | 6.32 | 3 hrs 48 mins |
| 35 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 432,605 | 73,616 | 5.88 | 4 hrs 5 mins |
| 36 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 431,378 | 75,769 | 5.69 | 4 hrs 13 mins |
| 37 | Tesla K40c GK110 [Tesla K40c] 5046 |
Nvidia | GK110 | 392,018 | 74,967 | 5.23 | 4 hrs 35 mins |
| 38 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 382,684 | 75,423 | 5.07 | 4 hrs 44 mins |
| 39 | Quadro K6000 GK110GL [Quadro K6000] |
Nvidia | GK110GL | 366,849 | 71,946 | 5.10 | 4 hrs 42 mins |
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| 40 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 360,075 | 70,949 | 5.08 | 4 hrs 44 mins |
| 41 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 345,151 | 70,618 | 4.89 | 4 hrs 55 mins |
| 42 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 326,546 | 66,417 | 4.92 | 4 hrs 53 mins |
| 43 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 310,007 | 68,444 | 4.53 | 5 hrs 18 mins |
| 44 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 298,437 | 67,048 | 4.45 | 5 hrs 24 mins |
| 45 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 265,730 | 64,208 | 4.14 | 5 hrs 48 mins |
| 46 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 265,623 | 62,532 | 4.25 | 5 hrs 39 mins |
| 47 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 215,161 | 60,138 | 3.58 | 6 hrs 42 mins |
| 48 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 178,741 | 51,375 | 3.48 | 6 hrs 54 mins |
| 49 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 171,806 | 56,706 | 3.03 | 7 hrs 55 mins |
| 50 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 169,160 | 55,122 | 3.07 | 7 hrs 49 mins |
| 51 | Tesla K40m GK110 [Tesla K40m] 5046 |
Nvidia | GK110 | 160,312 | 57,983 | 2.76 | 8 hrs 41 mins |
| 52 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 146,070 | 52,821 | 2.77 | 8 hrs 41 mins |
| 53 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 125,764 | 50,154 | 2.51 | 9 hrs 34 mins |
| 54 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 124,721 | 51,532 | 2.42 | 9 hrs 55 mins |
| 55 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 122,784 | 49,392 | 2.49 | 9 hrs 39 mins |
| 56 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 112,306 | 48,415 | 2.32 | 10 hrs 21 mins |
| 57 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 101,282 | 46,491 | 2.18 | 11 hrs 1 mins |
| 58 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 77,166 | 48,322 | 1.60 | 15 hrs 2 mins |
| 59 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 70,046 | 45,032 | 1.56 | 15 hrs 26 mins |
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| 60 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 57,432 | 38,696 | 1.48 | 16 hrs 10 mins |
| 61 | Radeon RX 460/560D Baffin [Radeon RX 460/560D] |
AMD | Baffin | 55,545 | 45,421 | 1.22 | 19 hrs 38 mins |
| 62 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 39,999 | 37,238 | 1.07 | 22 hrs 21 mins |
| 63 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 35,863 | 36,820 | 0.97 | 24 hrs 38 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:28:56|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|