RESEARCH: CANCER
FOLDING PROJECT #12431 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 in their code affect this folding. Using powerful computer simulations, they're trying to understand how these small changes can lead to bigger problems, like the neurological disorder 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 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, and providing structural support.
fold
The three-dimensional shape of a protein.
A protein's fold is its unique three-dimensional structure, which is crucial for its function. The folding process is complex and influenced by various factors.
mutation
A permanent change in the DNA sequence.
Mutations are alterations in the genetic code that can lead to changes in protein structure and function. They can be beneficial, harmful, or have no effect.
transcription factor
A protein that binds to DNA and regulates gene expression.
Transcription factors play a vital role in controlling which genes are turned on or off. They bind to specific DNA sequences and influence the rate of transcription.
FOXO1
Forkhead box O1 transcription factor
FOXO1 is a protein that regulates various cellular processes, including cell survival, growth, and metabolism. It plays a role in aging and disease.
MeCP2
Methyl-CpG binding protein 2
MeCP2 is a protein that binds to methylated DNA and regulates gene expression. Mutations in the MeCP2 gene can cause Rett syndrome.
Rett syndrome
A rare genetic disorder that primarily affects females.
Rett syndrome is a neurodevelopmental disorder characterized by progressive loss of motor and language skills. It is caused by mutations in the MeCP2 gene.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:34:34|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,020,049 | 126,548 | 15.96 | 1 hrs 30 mins |
| 2 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,004,922 | 124,285 | 16.13 | 1 hrs 29 mins |
| 3 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 1,907,105 | 125,187 | 15.23 | 1 hrs 35 mins |
| 4 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,767,564 | 93,783 | 18.85 | 1 hrs 16 mins |
| 5 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,764,697 | 103,019 | 17.13 | 1 hrs 24 mins |
| 6 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,742,556 | 120,983 | 14.40 | 1 hrs 40 mins |
| 7 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,563,023 | 115,453 | 13.54 | 1 hrs 46 mins |
| 8 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,519,506 | 91,631 | 16.58 | 1 hrs 27 mins |
| 9 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,469,429 | 97,291 | 15.10 | 1 hrs 35 mins |
| 10 | Radeon 740M/760M/780M Phoenix [Radeon 740M/760M/780M] |
AMD | Phoenix | 1,407,053 | 110,746 | 12.71 | 1 hrs 53 mins |
| 11 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,334,299 | 109,421 | 12.19 | 1 hrs 58 mins |
| 12 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,147,601 | 96,229 | 11.93 | 2 hrs 1 mins |
| 13 | P102-100 GP102 [P102-100] |
Nvidia | GP102 | 1,145,970 | 101,232 | 11.32 | 2 hrs 7 mins |
| 14 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,125,320 | 101,979 | 11.03 | 2 hrs 10 mins |
| 15 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,118,451 | 73,939 | 15.13 | 1 hrs 35 mins |
| 16 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 1,113,866 | 99,730 | 11.17 | 2 hrs 9 mins |
| 17 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,087,440 | 85,417 | 12.73 | 1 hrs 53 mins |
| 18 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,050,877 | 94,419 | 11.13 | 2 hrs 9 mins |
| 19 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,044,118 | 101,613 | 10.28 | 2 hrs 20 mins |
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| 20 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,039,247 | 101,675 | 10.22 | 2 hrs 21 mins |
| 21 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 950,398 | 97,848 | 9.71 | 2 hrs 28 mins |
| 22 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 927,339 | 97,586 | 9.50 | 2 hrs 32 mins |
| 23 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 924,928 | 97,325 | 9.50 | 2 hrs 32 mins |
| 24 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 894,531 | 95,957 | 9.32 | 2 hrs 34 mins |
| 25 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 887,131 | 96,209 | 9.22 | 2 hrs 36 mins |
| 26 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 885,409 | 63,584 | 13.93 | 1 hrs 43 mins |
| 27 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 879,727 | 66,963 | 13.14 | 1 hrs 50 mins |
| 28 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 843,179 | 81,899 | 10.30 | 2 hrs 20 mins |
| 29 | Quadro RTX 5000 Mobile / Max-Q TU104GLM [Quadro RTX 5000 Mobile / Max-Q] |
Nvidia | TU104GLM | 818,821 | 65,861 | 12.43 | 1 hrs 56 mins |
| 30 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 808,532 | 80,771 | 10.01 | 2 hrs 24 mins |
| 31 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 789,863 | 92,586 | 8.53 | 2 hrs 49 mins |
| 32 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 774,339 | 92,366 | 8.38 | 2 hrs 52 mins |
| 33 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 710,699 | 89,348 | 7.95 | 3 hrs 1 mins |
| 34 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 705,787 | 53,820 | 13.11 | 1 hrs 50 mins |
| 35 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 675,412 | 66,810 | 10.11 | 2 hrs 22 mins |
| 36 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 629,887 | 86,144 | 7.31 | 3 hrs 17 mins |
| 37 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 617,535 | 85,228 | 7.25 | 3 hrs 19 mins |
| 38 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 604,786 | 84,566 | 7.15 | 3 hrs 21 mins |
| 39 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 596,677 | 84,292 | 7.08 | 3 hrs 23 mins |
|
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|||||||
| 40 | Quadro T1200 Mobile TU117GLM [Quadro T1200 Mobile] |
Nvidia | TU117GLM | 586,342 | 84,090 | 6.97 | 3 hrs 27 mins |
| 41 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 547,797 | 61,670 | 8.88 | 2 hrs 42 mins |
| 42 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 547,751 | 26,048 | 21.03 | 1 hrs 8 mins |
| 43 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 475,770 | 76,668 | 6.21 | 3 hrs 52 mins |
| 44 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 468,764 | 44,309 | 10.58 | 2 hrs 16 mins |
| 45 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 446,822 | 67,870 | 6.58 | 3 hrs 39 mins |
| 46 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 428,141 | 75,600 | 5.66 | 4 hrs 14 mins |
| 47 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 427,358 | 45,850 | 9.32 | 2 hrs 34 mins |
| 48 | Tesla K40c GK110 [Tesla K40c] 5046 |
Nvidia | GK110 | 405,681 | 74,627 | 5.44 | 4 hrs 25 mins |
| 49 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 351,527 | 61,574 | 5.71 | 4 hrs 12 mins |
| 50 | Quadro K6000 GK110GL [Quadro K6000] |
Nvidia | GK110GL | 351,408 | 71,255 | 4.93 | 4 hrs 52 mins |
| 51 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 347,776 | 71,588 | 4.86 | 4 hrs 56 mins |
| 52 | Tesla K20C GK110 [Tesla K20C] 3524 |
Nvidia | GK110 | 334,720 | 69,729 | 4.80 | 4 hrs 60 mins |
| 53 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 328,041 | 69,134 | 4.75 | 5 hrs 3 mins |
| 54 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 321,740 | 69,477 | 4.63 | 5 hrs 11 mins |
| 55 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 310,596 | 66,167 | 4.69 | 5 hrs 7 mins |
| 56 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 304,280 | 69,824 | 4.36 | 5 hrs 30 mins |
| 57 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 286,267 | 53,237 | 5.38 | 4 hrs 28 mins |
| 58 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 272,005 | 63,409 | 4.29 | 5 hrs 36 mins |
| 59 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 250,351 | 62,582 | 4.00 | 5 hrs 60 mins |
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| 60 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 214,545 | 60,062 | 3.57 | 6 hrs 43 mins |
| 61 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 203,985 | 62,848 | 3.25 | 7 hrs 24 mins |
| 62 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 147,560 | 53,019 | 2.78 | 8 hrs 37 mins |
| 63 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 145,307 | 53,180 | 2.73 | 8 hrs 47 mins |
| 64 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 142,618 | 51,700 | 2.76 | 8 hrs 42 mins |
| 65 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 133,820 | 51,203 | 2.61 | 9 hrs 11 mins |
| 66 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 129,437 | 29,046 | 4.46 | 5 hrs 23 mins |
| 67 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 109,907 | 48,068 | 2.29 | 10 hrs 30 mins |
| 68 | Quadro P600 GP107GL [Quadro P600] |
Nvidia | GP107GL | 89,726 | 47,422 | 1.89 | 12 hrs 41 mins |
| 69 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 78,313 | 34,437 | 2.27 | 10 hrs 33 mins |
| 70 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 75,924 | 47,150 | 1.61 | 14 hrs 54 mins |
| 71 | Radeon RX 460/560D Baffin [Radeon RX 460/560D] |
AMD | Baffin | 75,011 | 26,048 | 2.88 | 8 hrs 20 mins |
| 72 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 70,547 | 29,609 | 2.38 | 10 hrs 4 mins |
| 73 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 68,390 | 41,165 | 1.66 | 14 hrs 27 mins |
| 74 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 54,871 | 43,664 | 1.26 | 19 hrs 6 mins |
| 75 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 53,035 | 26,048 | 2.04 | 11 hrs 47 mins |
| 76 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 34,997 | 37,910 | 0.92 | 25 hrs 60 mins |
| 77 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 32,070 | 36,926 | 0.87 | 27 hrs 38 mins |
| 78 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 24,775 | 26,048 | 0.95 | 25 hrs 14 mins |
| 79 | GeForce GT 710 GK208B [GeForce GT 710] 366 |
Nvidia | GK208B | 13,325 | 26,048 | 0.51 | 46 hrs 55 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:34:34|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|