RESEARCH: CANCER
FOLDING PROJECT #18453 PROFILE

PROJECT TEAM

Manager(s): Dylan Novack
Institution: Temple University
Project URL: View Project Website

WORK UNIT INFO

Atoms: 37,048
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how tiny proteins fold into their shapes. They found a way to predict how changing the protein's code affects its folding, using powerful computer simulations. They want to test this method on bigger proteins like MeCP2, which is important for brain development and causes Rett syndrome when it's faulty.

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

Note: Glossary items are a high level summary and may not be 100% accurate.

protein

A large biomolecule composed of amino acids.

Scientific: Pharmaceuticals
Biotechnology / Structural Biology

Proteins are essential molecules in all living organisms. They have a wide variety of functions, including catalyzing biochemical reactions, transporting molecules, and providing structural support. The shape and sequence of amino acids determine a protein's function.


fold

The three-dimensional shape of a protein.

Scientific: Pharmaceuticals
Biotechnology / Structural Biology

A protein's fold refers to its unique 3D structure. This shape is crucial for its function as it determines how the protein interacts with other molecules.


mutation

A permanent alteration in the DNA sequence.

Scientific: Pharmaceuticals
Biotechnology / Genetics

Mutations are changes in the genetic code. They can be spontaneous or caused by environmental factors. Some mutations have no effect, while others can alter protein function and lead to disease.


transcription factor

A protein that binds to DNA and regulates gene expression.

Scientific: Pharmaceuticals
Biotechnology / Molecular Biology

Transcription factors are proteins that control which genes are turned on or off. They play a vital role in cellular processes by regulating gene expression.


FOXO1

Forkhead box O1 transcription factor

Acronym: Pharmaceuticals
Biotechnology / Molecular Biology

FOXO1 is a protein that regulates various cellular processes, including growth, survival, and metabolism. It plays a role in aging and disease.


MeCP2

Methyl-CpG binding protein 2

Acronym: Pharmaceuticals
Biotechnology / Neurobiology

MeCP2 is a protein that binds to methylated DNA. It plays a crucial role in regulating gene expression in the brain.


Rett syndrome

A rare genetic disorder that affects girls primarily.

Medical: Pharmaceuticals
Healthcare / Neurology

Rett syndrome is a neurodevelopmental disorder that causes intellectual disability, autism spectrum disorder, and other neurological problems. It primarily affects females and is caused by mutations in the MECP2 gene.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:53
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 2,746,981 125,274 21.93 1 hrs 6 mins
2 GeForce RTX 2060 12GB
TU106 [GeForce RTX 2060 12GB]
Nvidia TU106 2,010,419 113,706 17.68 1 hrs 21 mins
3 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 1,896,730 109,509 17.32 1 hrs 23 mins
4 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 1,821,023 109,369 16.65 1 hrs 26 mins
5 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 1,810,170 108,998 16.61 1 hrs 27 mins
6 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,754,208 103,056 17.02 1 hrs 25 mins
7 GeForce RTX 2070 Mobile
TU106BM [GeForce RTX 2070 Mobile]
Nvidia TU106BM 1,711,409 107,283 15.95 1 hrs 30 mins
8 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,560,084 98,976 15.76 1 hrs 31 mins
9 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,557,002 88,745 17.54 1 hrs 22 mins
10 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,541,385 95,911 16.07 1 hrs 30 mins
11 Tesla P100 16GB
GP100GL [Tesla P100 16GB] 9340
Nvidia GP100GL 1,442,484 101,709 14.18 1 hrs 42 mins
12 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,269,780 84,142 15.09 1 hrs 35 mins
13 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,217,793 95,196 12.79 1 hrs 53 mins
14 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,192,911 94,568 12.61 1 hrs 54 mins
15 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,149,455 94,259 12.19 1 hrs 58 mins
16 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,148,100 92,102 12.47 1 hrs 56 mins
17 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,103,369 22,126 49.87 0 hrs 29 mins
18 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,043,685 87,280 11.96 2 hrs 0 mins
19 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 1,036,244 90,761 11.42 2 hrs 6 mins
20 P104-100
GP104 [P104-100]
Nvidia GP104 989,538 89,269 11.08 2 hrs 10 mins
21 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 966,951 88,280 10.95 2 hrs 11 mins
22 TITAN Xp
GP102 [TITAN Xp] 12150
Nvidia GP102 899,773 84,133 10.69 2 hrs 15 mins
23 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 839,929 84,707 9.92 2 hrs 25 mins
24 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 819,997 81,591 10.05 2 hrs 23 mins
25 Quadro P4000
GP104GL [Quadro P4000]
Nvidia GP104GL 790,120 83,324 9.48 2 hrs 32 mins
26 Quadro P3200 Mobile
GP104GLM [Quadro P3200 Mobile]
Nvidia GP104GLM 701,886 79,850 8.79 2 hrs 44 mins
27 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 668,877 75,655 8.84 2 hrs 43 mins
28 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 663,349 77,712 8.54 2 hrs 49 mins
29 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 652,174 78,118 8.35 2 hrs 52 mins
30 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 649,803 77,400 8.40 2 hrs 52 mins
31 TITAN X
GP102 [TITAN X] 6144
Nvidia GP102 601,911 63,532 9.47 2 hrs 32 mins
32 GeForce GTX 1650
TU117 [GeForce GTX 1650] 3091
Nvidia TU117 529,294 72,525 7.30 3 hrs 17 mins
33 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 521,165 72,175 7.22 3 hrs 19 mins
34 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 474,896 70,176 6.77 3 hrs 33 mins
35 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 465,845 69,879 6.67 3 hrs 36 mins
36 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 407,867 60,588 6.73 3 hrs 34 mins
37 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 399,932 66,652 6.00 3 hrs 60 mins
38 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 377,926 66,099 5.72 4 hrs 12 mins
39 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 354,783 64,388 5.51 4 hrs 21 mins
40 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 340,562 61,131 5.57 4 hrs 18 mins
41 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 335,266 62,663 5.35 4 hrs 29 mins
42 P106-090
GP106 [P106-090]
Nvidia GP106 319,660 61,275 5.22 4 hrs 36 mins
43 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 308,106 60,169 5.12 4 hrs 41 mins
44 GeForce GTX 1050 Mobile
GP107M [GeForce GTX 1050 Mobile]
Nvidia GP107M 271,951 58,125 4.68 5 hrs 8 mins
45 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 222,994 54,505 4.09 5 hrs 52 mins
46 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 198,871 49,667 4.00 5 hrs 60 mins
47 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 184,053 50,981 3.61 6 hrs 39 mins
48 Tesla K40m
GK110 [Tesla K40m] 5046
Nvidia GK110 177,862 52,904 3.36 7 hrs 8 mins
49 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 173,692 50,514 3.44 6 hrs 59 mins
50 RX Vega M GH
Polaris 22 XT [RX Vega M GH]
AMD Polaris 22 XT 164,295 49,717 3.30 7 hrs 16 mins
51 R9 280X/HD 7900/8970 OEM
Tahiti XT [R9 280X/HD 7900/8970 OEM]
AMD Tahiti XT 150,647 48,439 3.11 7 hrs 43 mins
52 Radeon R9 285/380
Tonga PRO [Radeon R9 285/380]
AMD Tonga PRO 144,246 47,600 3.03 7 hrs 55 mins
53 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 128,482 45,195 2.84 8 hrs 27 mins
54 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 123,600 47,069 2.63 9 hrs 8 mins
55 GeForce MX150
GP107M [GeForce MX150]
Nvidia GP107M 120,465 44,502 2.71 8 hrs 52 mins
56 GeForce MX450
TU117M [GeForce MX450]
Nvidia TU117M 103,078 41,013 2.51 9 hrs 33 mins
57 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 100,296 41,219 2.43 9 hrs 52 mins
58 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 86,417 43,701 1.98 12 hrs 8 mins
59 Radeon RX 460/560D
Baffin [Radeon RX 460/560D]
AMD Baffin 66,013 40,103 1.65 14 hrs 35 mins
60 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 63,058 35,640 1.77 13 hrs 34 mins
61 Quadro K620
GM107GL [Quadro K620]
Nvidia GM107GL 34,029 33,821 1.01 23 hrs 51 mins
62 GeForce GT 730
GK208B [GeForce GT 730] 692.7
Nvidia GK208B 17,676 23,220 0.76 31 hrs 32 mins
63 GeForce GT 710
GK208B [GeForce GT 710] 366
Nvidia GK208B 10,251 22,126 0.46 51 hrs 48 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:53
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make