RESEARCH: CANCER
FOLDING PROJECT #12433 PROFILE
PROJECT TEAM
Manager(s): Dylan NovackInstitution: Temple University
Project URL: View Project Website
WORK UNIT INFO
Atoms: 37,048Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to understanding how proteins fold into their correct shapes. This is important because a protein's shape determines its function. Researchers are using computer simulations to study how changes in a protein's code affect its folding. They're focusing on mini-proteins and MeCP2, a protein linked to Rett syndrome, a serious neurological disorder.
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 in living organisms that perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.
fold
The three-dimensional shape of a protein.
The fold of a protein is crucial for its function. The specific arrangement of amino acids determines how the protein interacts with other molecules and performs its role.
mutation
A permanent change in the DNA sequence.
Mutations can alter protein structure and function. Some mutations are harmless, while others can lead to disease.
transcription factor
A protein that binds to DNA and regulates gene expression.
Transcription factors play a critical role in controlling which genes are turned on or off. They can activate or repress the transcription of DNA into RNA.
FOXO1
Forkhead box O1 transcription factor.
FOXO1 is a transcription factor involved in various cellular processes, including cell growth, differentiation, and survival. Mutations in FOXO1 can contribute to the development of diseases such as cancer.
MeCP2
Methyl-CpG-binding protein 2.
MeCP2 is a protein that binds to methylated DNA. It plays a role in regulating gene expression and is essential for normal brain development. Mutations in MeCP2 can cause Rett syndrome.
Rett syndrome
A rare genetic neurological disorder.
Rett syndrome primarily affects girls and is characterized by developmental regression, intellectual disability, and communication difficulties. It is caused by mutations in the MeCP2 gene.
MBD
Methyl-binding domain.
The MBD is a region within the MeCP2 protein that binds to methylated DNA. It plays a crucial role in regulating gene expression.
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 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,060,972 | 114,117 | 18.06 | 1 hrs 20 mins |
| 2 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,020,947 | 113,442 | 17.81 | 1 hrs 21 mins |
| 3 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,015,583 | 112,599 | 17.90 | 1 hrs 20 mins |
| 4 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,882,054 | 107,145 | 17.57 | 1 hrs 22 mins |
| 5 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,756,447 | 76,426 | 22.98 | 1 hrs 3 mins |
| 6 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,751,850 | 93,605 | 18.72 | 1 hrs 17 mins |
| 7 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,630,297 | 103,154 | 15.80 | 1 hrs 31 mins |
| 8 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,565,815 | 78,693 | 19.90 | 1 hrs 12 mins |
| 9 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,540,378 | 102,743 | 14.99 | 1 hrs 36 mins |
| 10 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,428,477 | 81,551 | 17.52 | 1 hrs 22 mins |
| 11 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,392,040 | 99,810 | 13.95 | 1 hrs 43 mins |
| 12 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,259,993 | 96,527 | 13.05 | 1 hrs 50 mins |
| 13 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,230,537 | 95,153 | 12.93 | 1 hrs 51 mins |
| 14 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,176,631 | 87,633 | 13.43 | 1 hrs 47 mins |
| 15 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,076,857 | 91,836 | 11.73 | 2 hrs 3 mins |
| 16 | P102-100 GP102 [P102-100] |
Nvidia | GP102 | 1,074,883 | 86,471 | 12.43 | 1 hrs 56 mins |
| 17 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,061,990 | 86,214 | 12.32 | 1 hrs 57 mins |
| 18 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,041,967 | 70,734 | 14.73 | 1 hrs 38 mins |
| 19 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 1,020,693 | 90,263 | 11.31 | 2 hrs 7 mins |
|
|
|||||||
| 20 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,014,592 | 89,261 | 11.37 | 2 hrs 7 mins |
| 21 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 954,516 | 88,259 | 10.81 | 2 hrs 13 mins |
| 22 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 953,078 | 73,249 | 13.01 | 1 hrs 51 mins |
| 23 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 938,550 | 87,739 | 10.70 | 2 hrs 15 mins |
| 24 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 933,706 | 84,674 | 11.03 | 2 hrs 11 mins |
| 25 | Radeon 740M/760M/780M Phoenix [Radeon 740M/760M/780M] |
AMD | Phoenix | 878,209 | 83,284 | 10.54 | 2 hrs 17 mins |
| 26 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 863,656 | 70,585 | 12.24 | 1 hrs 58 mins |
| 27 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 844,796 | 22,126 | 38.18 | 0 hrs 38 mins |
| 28 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 821,842 | 66,190 | 12.42 | 1 hrs 56 mins |
| 29 | Quadro M6000 GM200GL [Quadro M6000] |
Nvidia | GM200GL | 817,119 | 84,027 | 9.72 | 2 hrs 28 mins |
| 30 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 802,291 | 83,335 | 9.63 | 2 hrs 30 mins |
| 31 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 762,387 | 82,194 | 9.28 | 2 hrs 35 mins |
| 32 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 762,229 | 81,971 | 9.30 | 2 hrs 35 mins |
| 33 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 698,086 | 22,126 | 31.55 | 0 hrs 46 mins |
| 34 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 693,539 | 61,212 | 11.33 | 2 hrs 7 mins |
| 35 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 650,111 | 46,268 | 14.05 | 1 hrs 42 mins |
| 36 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 644,890 | 77,014 | 8.37 | 2 hrs 52 mins |
| 37 | Quadro P4000 Mobile GP104GLM [Quadro P4000 Mobile] |
Nvidia | GP104GLM | 631,134 | 77,034 | 8.19 | 2 hrs 56 mins |
| 38 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 617,568 | 56,162 | 11.00 | 2 hrs 11 mins |
| 39 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 581,621 | 74,931 | 7.76 | 3 hrs 6 mins |
|
|
|||||||
| 40 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 577,636 | 73,920 | 7.81 | 3 hrs 4 mins |
| 41 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 472,406 | 26,501 | 17.83 | 1 hrs 21 mins |
| 42 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 461,076 | 66,002 | 6.99 | 3 hrs 26 mins |
| 43 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 431,240 | 67,884 | 6.35 | 3 hrs 47 mins |
| 44 | Tesla K40c GK110 [Tesla K40c] 5046 |
Nvidia | GK110 | 407,091 | 66,807 | 6.09 | 3 hrs 56 mins |
| 45 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 405,097 | 54,314 | 7.46 | 3 hrs 13 mins |
| 46 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 402,347 | 52,608 | 7.65 | 3 hrs 8 mins |
| 47 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 390,111 | 66,471 | 5.87 | 4 hrs 5 mins |
| 48 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 387,170 | 59,985 | 6.45 | 3 hrs 43 mins |
| 49 | Quadro K6000 GK110GL [Quadro K6000] |
Nvidia | GK110GL | 374,499 | 64,973 | 5.76 | 4 hrs 10 mins |
| 50 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 354,169 | 61,633 | 5.75 | 4 hrs 11 mins |
| 51 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 338,823 | 63,800 | 5.31 | 4 hrs 31 mins |
| 52 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 333,473 | 63,685 | 5.24 | 4 hrs 35 mins |
| 53 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 304,475 | 54,077 | 5.63 | 4 hrs 16 mins |
| 54 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 283,661 | 58,906 | 4.82 | 4 hrs 59 mins |
| 55 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 258,829 | 48,717 | 5.31 | 4 hrs 31 mins |
| 56 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 242,753 | 56,250 | 4.32 | 5 hrs 34 mins |
| 57 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 236,181 | 53,735 | 4.40 | 5 hrs 28 mins |
| 58 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 222,867 | 54,525 | 4.09 | 5 hrs 52 mins |
| 59 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 208,074 | 55,176 | 3.77 | 6 hrs 22 mins |
|
|
|||||||
| 60 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 192,988 | 46,072 | 4.19 | 5 hrs 44 mins |
| 61 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 155,960 | 48,328 | 3.23 | 7 hrs 26 mins |
| 62 | Radeon R9 285/380 Tonga PRO [Radeon R9 285/380] |
AMD | Tonga PRO | 147,826 | 47,697 | 3.10 | 7 hrs 45 mins |
| 63 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 140,070 | 46,734 | 3.00 | 8 hrs 0 mins |
| 64 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 126,449 | 29,247 | 4.32 | 5 hrs 33 mins |
| 65 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 121,300 | 39,039 | 3.11 | 7 hrs 43 mins |
| 66 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 119,413 | 44,231 | 2.70 | 8 hrs 53 mins |
| 67 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 92,171 | 43,020 | 2.14 | 11 hrs 12 mins |
| 68 | GeForce GTX 670/GTX 760Ti OEM GK104 [GeForce GTX 670/GTX 760Ti OEM] 2634 |
Nvidia | GK104 | 86,858 | 22,126 | 3.93 | 6 hrs 7 mins |
| 69 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 84,056 | 43,058 | 1.95 | 12 hrs 18 mins |
| 70 | Radeon RX 460/560D Baffin [Radeon RX 460/560D] |
AMD | Baffin | 80,971 | 22,681 | 3.57 | 6 hrs 43 mins |
| 71 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 77,256 | 38,249 | 2.02 | 11 hrs 53 mins |
| 72 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 75,489 | 38,300 | 1.97 | 12 hrs 11 mins |
| 73 | Quadro P600 GP107GL [Quadro P600] |
Nvidia | GP107GL | 74,982 | 43,254 | 1.73 | 13 hrs 51 mins |
| 74 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 63,409 | 24,683 | 2.57 | 9 hrs 21 mins |
| 75 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 58,889 | 22,126 | 2.66 | 9 hrs 1 mins |
| 76 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 46,289 | 34,314 | 1.35 | 17 hrs 47 mins |
| 77 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 42,773 | 33,911 | 1.26 | 19 hrs 2 mins |
| 78 | GeForce GTX 745 GM107 [GeForce GTX 745] 793 |
Nvidia | GM107 | 36,268 | 33,933 | 1.07 | 22 hrs 27 mins |
| 79 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 15,515 | 22,126 | 0.70 | 34 hrs 14 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 |