RESEARCH: CANCER
FOLDING PROJECT #18452 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 changes in protein shape affect their function. They're using computer simulations to understand how mutations impact folding, starting with small proteins and moving on to MeCP2, a protein linked to Rett syndrome. Accurate protein folding models could lead to better treatments for diseases like 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 life processes.
Proteins are complex molecules that perform many vital functions in living organisms. They are made up of chains of amino acids and fold into specific shapes that determine their function. Proteins are involved in a wide range of processes, including catalyzing reactions, transporting molecules, providing structural support, and regulating cellular processes.
fold
The three-dimensional shape of a protein.
The 'fold' refers to the unique three-dimensional shape that a protein takes on. This shape is crucial for the protein's function because it determines how it interacts with other molecules. The process by which a protein folds into its correct shape is called protein folding.
mutation
A change in the DNA sequence.
A mutation is a permanent alteration in the DNA sequence of an organism. Mutations can be caused by factors such as errors during DNA replication, exposure to radiation, or certain chemicals. Some mutations have no effect on the organism, while others can lead to changes in protein structure and function.
transcription factor
A protein that binds to DNA and regulates gene expression.
Transcription factors are proteins that play a crucial role in controlling which genes are turned on or off. They bind to specific regions of DNA called promoters and enhancers, influencing the rate of transcription (the process of making RNA from DNA). This regulation is essential for cellular differentiation, development, and response to environmental signals.
MeCP2
Methyl CpG binding protein 2
MeCP2 is a protein that binds to methylated DNA. It plays a role in gene regulation and is particularly important for brain development and function. Mutations in the MeCP2 gene can lead to Rett syndrome, a neurodevelopmental disorder characterized by intellectual disability, autism spectrum disorder, and other neurological symptoms.
Rett syndrome
A rare neurodevelopmental disorder.
Rett syndrome is a rare genetic disorder that primarily affects females. It is characterized by a period of normal development followed by regression in skills such as language, motor function, and social interaction. Other symptoms include seizures, breathing irregularities, and scoliosis. Rett syndrome is caused by mutations in the MeCP2 gene.
MBD
Methyl-binding domain
The MBD is a protein domain that specifically binds to methylated DNA. It plays a role in regulating gene expression and is found in various proteins involved in chromatin remodeling and transcriptional repression.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:28:55|
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 | 2,890,175 | 175,383 | 16.48 | 1 hrs 27 mins |
| 2 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,099,746 | 152,300 | 13.79 | 1 hrs 44 mins |
| 3 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,982,711 | 152,502 | 13.00 | 1 hrs 51 mins |
| 4 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,937,892 | 152,858 | 12.68 | 1 hrs 54 mins |
| 5 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,922,006 | 155,891 | 12.33 | 1 hrs 57 mins |
| 6 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,850,490 | 146,860 | 12.60 | 1 hrs 54 mins |
| 7 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,770,860 | 147,618 | 12.00 | 2 hrs 0 mins |
| 8 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,746,348 | 145,011 | 12.04 | 1 hrs 60 mins |
| 9 | Tesla P100 16GB GP100GL [Tesla P100 16GB] 9340 |
Nvidia | GP100GL | 1,558,834 | 143,251 | 10.88 | 2 hrs 12 mins |
| 10 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,542,146 | 139,700 | 11.04 | 2 hrs 10 mins |
| 11 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,386,225 | 134,821 | 10.28 | 2 hrs 20 mins |
| 12 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,252,153 | 133,919 | 9.35 | 2 hrs 34 mins |
| 13 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,242,751 | 132,083 | 9.41 | 2 hrs 33 mins |
| 14 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 1,219,875 | 128,942 | 9.46 | 2 hrs 32 mins |
| 15 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,213,761 | 128,658 | 9.43 | 2 hrs 33 mins |
| 16 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,175,313 | 130,947 | 8.98 | 2 hrs 40 mins |
| 17 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,101,242 | 119,288 | 9.23 | 2 hrs 36 mins |
| 18 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 1,093,161 | 127,208 | 8.59 | 2 hrs 48 mins |
| 19 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,078,259 | 125,727 | 8.58 | 2 hrs 48 mins |
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| 20 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 980,316 | 118,059 | 8.30 | 2 hrs 53 mins |
| 21 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 946,805 | 121,530 | 7.79 | 3 hrs 5 mins |
| 22 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 929,424 | 120,817 | 7.69 | 3 hrs 7 mins |
| 23 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 811,892 | 115,072 | 7.06 | 3 hrs 24 mins |
| 24 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 807,422 | 113,014 | 7.14 | 3 hrs 22 mins |
| 25 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 806,781 | 115,739 | 6.97 | 3 hrs 27 mins |
| 26 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 775,180 | 113,388 | 6.84 | 3 hrs 31 mins |
| 27 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 680,890 | 104,706 | 6.50 | 3 hrs 41 mins |
| 28 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 675,764 | 108,670 | 6.22 | 3 hrs 52 mins |
| 29 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 652,388 | 107,639 | 6.06 | 3 hrs 58 mins |
| 30 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 643,409 | 107,568 | 5.98 | 4 hrs 1 mins |
| 31 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 607,417 | 105,440 | 5.76 | 4 hrs 10 mins |
| 32 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 578,287 | 106,084 | 5.45 | 4 hrs 24 mins |
| 33 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 555,519 | 98,537 | 5.64 | 4 hrs 15 mins |
| 34 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 477,024 | 97,383 | 4.90 | 4 hrs 54 mins |
| 35 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 402,113 | 91,970 | 4.37 | 5 hrs 29 mins |
| 36 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 400,081 | 94,011 | 4.26 | 5 hrs 38 mins |
| 37 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 399,657 | 89,290 | 4.48 | 5 hrs 22 mins |
| 38 | Tesla K40c GK110 [Tesla K40c] 5046 |
Nvidia | GK110 | 399,549 | 93,587 | 4.27 | 5 hrs 37 mins |
| 39 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 389,464 | 90,760 | 4.29 | 5 hrs 36 mins |
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| 40 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 376,129 | 89,206 | 4.22 | 5 hrs 42 mins |
| 41 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 370,434 | 93,727 | 3.95 | 6 hrs 4 mins |
| 42 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 360,900 | 88,267 | 4.09 | 5 hrs 52 mins |
| 43 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 343,749 | 90,984 | 3.78 | 6 hrs 21 mins |
| 44 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 316,528 | 84,751 | 3.73 | 6 hrs 26 mins |
| 45 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 311,076 | 85,707 | 3.63 | 6 hrs 37 mins |
| 46 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 306,907 | 86,700 | 3.54 | 6 hrs 47 mins |
| 47 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 278,075 | 80,894 | 3.44 | 6 hrs 59 mins |
| 48 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 253,009 | 76,963 | 3.29 | 7 hrs 18 mins |
| 49 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 219,412 | 74,409 | 2.95 | 8 hrs 8 mins |
| 50 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 177,168 | 70,188 | 2.52 | 9 hrs 30 mins |
| 51 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 175,029 | 69,100 | 2.53 | 9 hrs 29 mins |
| 52 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 165,810 | 69,526 | 2.38 | 10 hrs 4 mins |
| 53 | Tesla K40m GK110 [Tesla K40m] 5046 |
Nvidia | GK110 | 155,860 | 71,973 | 2.17 | 11 hrs 5 mins |
| 54 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 149,750 | 66,264 | 2.26 | 10 hrs 37 mins |
| 55 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 125,625 | 65,439 | 1.92 | 12 hrs 30 mins |
| 56 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 120,164 | 59,352 | 2.02 | 11 hrs 51 mins |
| 57 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 109,643 | 56,136 | 1.95 | 12 hrs 17 mins |
| 58 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 101,323 | 57,749 | 1.75 | 13 hrs 41 mins |
| 59 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 83,403 | 59,964 | 1.39 | 17 hrs 15 mins |
|
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|||||||
| 60 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 67,022 | 57,431 | 1.17 | 20 hrs 34 mins |
| 61 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 57,402 | 47,776 | 1.20 | 19 hrs 59 mins |
| 62 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 35,375 | 46,063 | 0.77 | 31 hrs 15 mins |
| 63 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 32,826 | 45,481 | 0.72 | 33 hrs 15 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:28:55|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|