RESEARCH: CANCER
FOLDING PROJECT #18451 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 40,908
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project studies how tiny proteins fold into their shapes and how changes to their code affect folding. They'll use computer simulations and experiments to understand this process in proteins like GB1, hpin1 WW domain, and MeCP2, which is linked to 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

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

Protein

Large biomolecule essential for various biological functions.

Scientific: Pharmaceutical Research
Biotechnology / Structural Biology

Proteins are complex molecules that perform many vital roles in living organisms. They act as catalysts, structural components, transport molecules, and more. Understanding protein structure and function is crucial for advancements in medicine and biotechnology.


Fold

The three-dimensional shape of a protein.

Scientific: Pharmaceutical Research
Biotechnology / Structural Biology

The fold refers to the unique 3D structure that a protein adopts. This shape is crucial for its function as it determines how the protein interacts with other molecules. Protein folding is a complex process influenced by various factors.


Mutation

A change in the DNA sequence.

Scientific: Pharmaceutical Research
Medicine / Genetics

Mutations are alterations in the genetic code (DNA). They can occur spontaneously or be induced by environmental factors. Some mutations are harmless, while others can lead to diseases or altered traits.


Transcription Factor

A protein that regulates gene expression.

Scientific: Pharmaceutical Research
Biotechnology / Molecular Biology

Transcription factors are proteins that control the process of gene transcription. They bind to specific DNA sequences and either activate or repress the expression of genes.


FOXO1

Forkhead box O1 transcription factor.

Technical: Pharmaceutical Research
Biotechnology / Molecular Biology

FOXO1 is a specific type of transcription factor involved in regulating various cellular processes, including cell growth, metabolism, and stress response.


MeCP2

Methyl-CpG-binding protein 2.

Technical: Pharmaceutical Research
Medicine / Neurology

MeCP2 is a protein that binds to methylated DNA and plays a role in gene regulation. Mutations in the MeCP2 gene can cause Rett syndrome.


Rett Syndrome

A rare neurodevelopmental disorder.

Medical: Healthcare
Medicine / Neurology

Rett syndrome is a severe neurological disorder primarily affecting females. It is characterized by developmental regression, intellectual disability, and repetitive hand movements.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:56
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 2,817,063 140,596 20.04 1 hrs 12 mins
2 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 1,937,313 121,802 15.91 1 hrs 31 mins
3 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,816,440 122,478 14.83 1 hrs 37 mins
4 TITAN X
GP102 [TITAN X] 6144
Nvidia GP102 1,791,257 121,855 14.70 1 hrs 38 mins
5 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 1,759,041 120,492 14.60 1 hrs 39 mins
6 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,676,115 118,256 14.17 1 hrs 42 mins
7 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,652,925 115,313 14.33 1 hrs 40 mins
8 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 1,623,816 117,764 13.79 1 hrs 44 mins
9 GeForce RTX 2070 Mobile
TU106BM [GeForce RTX 2070 Mobile]
Nvidia TU106BM 1,604,642 117,681 13.64 1 hrs 46 mins
10 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,487,431 106,436 13.97 1 hrs 43 mins
11 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,342,163 92,196 14.56 1 hrs 39 mins
12 Tesla P100 16GB
GP100GL [Tesla P100 16GB] 9340
Nvidia GP100GL 1,239,934 103,502 11.98 2 hrs 0 mins
13 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,197,743 105,835 11.32 2 hrs 7 mins
14 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 1,187,419 100,012 11.87 2 hrs 1 mins
15 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,151,164 102,301 11.25 2 hrs 8 mins
16 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,148,899 104,318 11.01 2 hrs 11 mins
17 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,121,130 103,669 10.81 2 hrs 13 mins
18 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 1,018,418 100,598 10.12 2 hrs 22 mins
19 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,017,406 95,678 10.63 2 hrs 15 mins
20 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,013,104 99,735 10.16 2 hrs 22 mins
21 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 933,053 97,541 9.57 2 hrs 31 mins
22 P104-100
GP104 [P104-100]
Nvidia GP104 932,488 97,656 9.55 2 hrs 31 mins
23 Quadro P4000
GP104GL [Quadro P4000]
Nvidia GP104GL 771,185 91,036 8.47 2 hrs 50 mins
24 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 747,089 88,066 8.48 2 hrs 50 mins
25 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 743,784 89,931 8.27 2 hrs 54 mins
26 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 711,863 85,788 8.30 2 hrs 54 mins
27 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 672,480 87,515 7.68 3 hrs 7 mins
28 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 668,456 86,663 7.71 3 hrs 7 mins
29 GeForce GTX 1060 6GB
GP104 [GeForce GTX 1060 6GB]
Nvidia GP104 657,195 87,503 7.51 3 hrs 12 mins
30 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 622,068 79,762 7.80 3 hrs 5 mins
31 GeForce GTX 1650
TU117 [GeForce GTX 1650] 3091
Nvidia TU117 517,744 82,034 6.31 3 hrs 48 mins
32 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 507,121 79,593 6.37 3 hrs 46 mins
33 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 498,728 78,073 6.39 3 hrs 45 mins
34 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 468,818 74,175 6.32 3 hrs 48 mins
35 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 432,605 73,616 5.88 4 hrs 5 mins
36 GeForce GTX Titan Black
GK110 [GeForce GTX Titan Black] 5121
Nvidia GK110 431,378 75,769 5.69 4 hrs 13 mins
37 Tesla K40c
GK110 [Tesla K40c] 5046
Nvidia GK110 392,018 74,967 5.23 4 hrs 35 mins
38 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 382,684 75,423 5.07 4 hrs 44 mins
39 Quadro K6000
GK110GL [Quadro K6000]
Nvidia GK110GL 366,849 71,946 5.10 4 hrs 42 mins
40 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 360,075 70,949 5.08 4 hrs 44 mins
41 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 345,151 70,618 4.89 4 hrs 55 mins
42 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 326,546 66,417 4.92 4 hrs 53 mins
43 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 310,007 68,444 4.53 5 hrs 18 mins
44 P106-090
GP106 [P106-090]
Nvidia GP106 298,437 67,048 4.45 5 hrs 24 mins
45 GeForce GTX 1050 Mobile
GP107M [GeForce GTX 1050 Mobile]
Nvidia GP107M 265,730 64,208 4.14 5 hrs 48 mins
46 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 265,623 62,532 4.25 5 hrs 39 mins
47 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 215,161 60,138 3.58 6 hrs 42 mins
48 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 178,741 51,375 3.48 6 hrs 54 mins
49 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 171,806 56,706 3.03 7 hrs 55 mins
50 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 169,160 55,122 3.07 7 hrs 49 mins
51 Tesla K40m
GK110 [Tesla K40m] 5046
Nvidia GK110 160,312 57,983 2.76 8 hrs 41 mins
52 Radeon R9 285/380
Tonga PRO [Radeon R9 285/380]
AMD Tonga PRO 146,070 52,821 2.77 8 hrs 41 mins
53 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 125,764 50,154 2.51 9 hrs 34 mins
54 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 124,721 51,532 2.42 9 hrs 55 mins
55 GeForce MX450
TU117M [GeForce MX450]
Nvidia TU117M 122,784 49,392 2.49 9 hrs 39 mins
56 GeForce MX150
GP107M [GeForce MX150]
Nvidia GP107M 112,306 48,415 2.32 10 hrs 21 mins
57 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 101,282 46,491 2.18 11 hrs 1 mins
58 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 77,166 48,322 1.60 15 hrs 2 mins
59 R9 280X/HD 7900/8970 OEM
Tahiti XT [R9 280X/HD 7900/8970 OEM]
AMD Tahiti XT 70,046 45,032 1.56 15 hrs 26 mins
60 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 57,432 38,696 1.48 16 hrs 10 mins
61 Radeon RX 460/560D
Baffin [Radeon RX 460/560D]
AMD Baffin 55,545 45,421 1.22 19 hrs 38 mins
62 GeForce GTX 745
GM107 [GeForce GTX 745] 793
Nvidia GM107 39,999 37,238 1.07 22 hrs 21 mins
63 Quadro K620
GM107GL [Quadro K620]
Nvidia GM107GL 35,863 36,820 0.97 24 hrs 38 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:56
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make