RESEARCH: CANCER
FOLDING PROJECT #12432 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 52,457Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies how proteins fold into their shapes and how changes in the protein's code affect its folding. They'll use computer simulations to understand this process in mini-proteins and a protein called MeCP2, which is important for brain function and mutations can cause 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
A large biomolecule consisting of chains of amino acids.
Proteins are essential building blocks of life. They perform a wide range of functions within cells and organisms, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating gene expression.
fold
The three-dimensional shape of a protein.
A protein's fold determines its function. It is the unique arrangement of amino acids that allows proteins to interact with other molecules and carry out specific tasks.
transcription factor
A protein that binds to DNA and regulates gene expression.
Transcription factors are essential for controlling which genes are turned on or off in a cell. They play a crucial role in development, cell differentiation, and response to environmental stimuli.
mutation
A permanent change in the DNA sequence.
Mutations can be caused by errors during DNA replication or exposure to mutagens. They can have various effects on an organism, ranging from harmless to harmful.
Rett syndrome
A rare neurological disorder that primarily affects girls.
Rett syndrome is characterized by developmental regression, intellectual disability, and repetitive behaviors. It is caused by mutations in the MECP2 gene.
MBD
Methyl-binding domain
The MBD is a protein domain that binds to methylated DNA.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:33|
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 | 2,039,316 | 155,183 | 13.14 | 1 hrs 50 mins |
| 2 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 1,917,793 | 94,279 | 20.34 | 1 hrs 11 mins |
| 3 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,851,581 | 102,714 | 18.03 | 1 hrs 20 mins |
| 4 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,766,951 | 149,820 | 11.79 | 2 hrs 2 mins |
| 5 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,724,126 | 126,049 | 13.68 | 1 hrs 45 mins |
| 6 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,617,042 | 130,091 | 12.43 | 1 hrs 56 mins |
| 7 | Radeon 740M/760M/780M Phoenix [Radeon 740M/760M/780M] |
AMD | Phoenix | 1,580,484 | 142,231 | 11.11 | 2 hrs 10 mins |
| 8 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,555,927 | 143,125 | 10.87 | 2 hrs 12 mins |
| 9 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,533,876 | 109,361 | 14.03 | 1 hrs 43 mins |
| 10 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,460,470 | 116,890 | 12.49 | 1 hrs 55 mins |
| 11 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 1,381,142 | 35,838 | 38.54 | 0 hrs 37 mins |
| 12 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,337,511 | 134,512 | 9.94 | 2 hrs 25 mins |
| 13 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 1,257,878 | 125,743 | 10.00 | 2 hrs 24 mins |
| 14 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,240,101 | 133,066 | 9.32 | 2 hrs 35 mins |
| 15 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,189,431 | 132,139 | 9.00 | 2 hrs 40 mins |
| 16 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,122,006 | 128,661 | 8.72 | 2 hrs 45 mins |
| 17 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,112,287 | 93,545 | 11.89 | 2 hrs 1 mins |
| 18 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,099,504 | 114,047 | 9.64 | 2 hrs 29 mins |
| 19 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,094,878 | 113,144 | 9.68 | 2 hrs 29 mins |
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|||||||
| 20 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,087,771 | 110,815 | 9.82 | 2 hrs 27 mins |
| 21 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,060,027 | 113,226 | 9.36 | 2 hrs 34 mins |
| 22 | P102-100 GP102 [P102-100] |
Nvidia | GP102 | 1,059,689 | 119,904 | 8.84 | 2 hrs 43 mins |
| 23 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 991,756 | 102,433 | 9.68 | 2 hrs 29 mins |
| 24 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 987,710 | 94,420 | 10.46 | 2 hrs 18 mins |
| 25 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 935,413 | 121,294 | 7.71 | 3 hrs 7 mins |
| 26 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 911,578 | 109,785 | 8.30 | 2 hrs 53 mins |
| 27 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 901,238 | 120,208 | 7.50 | 3 hrs 12 mins |
| 28 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 883,685 | 118,629 | 7.45 | 3 hrs 13 mins |
| 29 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 868,674 | 119,086 | 7.29 | 3 hrs 17 mins |
| 30 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 800,705 | 100,681 | 7.95 | 3 hrs 1 mins |
| 31 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 783,279 | 35,838 | 21.86 | 1 hrs 6 mins |
| 32 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 769,688 | 113,294 | 6.79 | 3 hrs 32 mins |
| 33 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 751,830 | 111,609 | 6.74 | 3 hrs 34 mins |
| 34 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 712,968 | 110,816 | 6.43 | 3 hrs 44 mins |
| 35 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 702,588 | 86,549 | 8.12 | 2 hrs 57 mins |
| 36 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 681,708 | 108,443 | 6.29 | 3 hrs 49 mins |
| 37 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 648,464 | 35,838 | 18.09 | 1 hrs 20 mins |
| 38 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 629,744 | 102,040 | 6.17 | 3 hrs 53 mins |
| 39 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 604,548 | 68,412 | 8.84 | 2 hrs 43 mins |
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| 40 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 586,702 | 103,585 | 5.66 | 4 hrs 14 mins |
| 41 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 559,027 | 94,601 | 5.91 | 4 hrs 4 mins |
| 42 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 511,055 | 49,266 | 10.37 | 2 hrs 19 mins |
| 43 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 437,140 | 93,138 | 4.69 | 5 hrs 7 mins |
| 44 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 426,322 | 87,294 | 4.88 | 4 hrs 55 mins |
| 45 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 396,762 | 58,178 | 6.82 | 3 hrs 31 mins |
| 46 | Tesla K40c GK110 [Tesla K40c] 5046 |
Nvidia | GK110 | 394,476 | 92,504 | 4.26 | 5 hrs 38 mins |
| 47 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 358,749 | 87,904 | 4.08 | 5 hrs 53 mins |
| 48 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 343,226 | 88,640 | 3.87 | 6 hrs 12 mins |
| 49 | Quadro K6000 GK110GL [Quadro K6000] |
Nvidia | GK110GL | 334,946 | 87,412 | 3.83 | 6 hrs 16 mins |
| 50 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 326,318 | 89,485 | 3.65 | 6 hrs 35 mins |
| 51 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 304,899 | 85,005 | 3.59 | 6 hrs 41 mins |
| 52 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 291,143 | 85,270 | 3.41 | 7 hrs 2 mins |
| 53 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 289,033 | 85,350 | 3.39 | 7 hrs 5 mins |
| 54 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 268,978 | 68,835 | 3.91 | 6 hrs 9 mins |
| 55 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 259,071 | 78,900 | 3.28 | 7 hrs 19 mins |
| 56 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 245,614 | 77,319 | 3.18 | 7 hrs 33 mins |
| 57 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 218,171 | 78,064 | 2.79 | 8 hrs 35 mins |
| 58 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 214,209 | 79,428 | 2.70 | 8 hrs 54 mins |
| 59 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 207,419 | 73,493 | 2.82 | 8 hrs 30 mins |
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|||||||
| 60 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 169,688 | 66,894 | 2.54 | 9 hrs 28 mins |
| 61 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 154,286 | 66,763 | 2.31 | 10 hrs 23 mins |
| 62 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 144,602 | 65,166 | 2.22 | 10 hrs 49 mins |
| 63 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 135,668 | 63,963 | 2.12 | 11 hrs 19 mins |
| 64 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 131,945 | 38,857 | 3.40 | 7 hrs 4 mins |
| 65 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 105,331 | 58,519 | 1.80 | 13 hrs 20 mins |
| 66 | Radeon RX 460/560D Baffin [Radeon RX 460/560D] |
AMD | Baffin | 86,331 | 35,838 | 2.41 | 9 hrs 58 mins |
| 67 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 78,677 | 53,272 | 1.48 | 16 hrs 15 mins |
| 68 | GeForce GTX 670/GTX 760Ti OEM GK104 [GeForce GTX 670/GTX 760Ti OEM] 2634 |
Nvidia | GK104 | 76,626 | 35,838 | 2.14 | 11 hrs 13 mins |
| 69 | Quadro P600 GP107GL [Quadro P600] |
Nvidia | GP107GL | 74,121 | 58,747 | 1.26 | 19 hrs 1 mins |
| 70 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 72,399 | 43,079 | 1.68 | 14 hrs 17 mins |
| 71 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 72,188 | 57,733 | 1.25 | 19 hrs 12 mins |
| 72 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 68,623 | 41,958 | 1.64 | 14 hrs 40 mins |
| 73 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 67,286 | 51,012 | 1.32 | 18 hrs 12 mins |
| 74 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 64,621 | 55,024 | 1.17 | 20 hrs 26 mins |
| 75 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 52,961 | 35,838 | 1.48 | 16 hrs 14 mins |
| 76 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 38,777 | 47,214 | 0.82 | 29 hrs 13 mins |
| 77 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 30,695 | 45,717 | 0.67 | 35 hrs 45 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:33|
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 |