RESEARCH: ALZHEIMERS
FOLDING PROJECT #18260 PROFILE

PROJECT TEAM

Manager(s): Justin Miller
Institution: University of Pennsylvania

WORK UNIT INFO

Atoms: 1,224,788
Core: 0x27
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Alzheimer's disease is marked by tangles of a protein called tau. Tau normally helps cells stay organized, but when it misbehaves, it can cause problems. The project relates to figuring out the best computer models to study how tau behaves. These models could help us understand Alzheimer's and develop new treatments.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Alzheimer's disease is a significant cause of death and memory loss and there are no effective treatments to halt or reverse disease progression.

One of the late hallmarks and primary biomarkers of Alzheimer's disease is the presence of neurofibrillary tangles, intracellular aggregates of the tau protein.

When behaving properly, tau interacts with microtubules- a critical portion of the cytoskeleton of cells- to help regulate their growth and stability.

However, tau misbehavior and aggregation is also closely linked to Alzheimer's disease among many other neurodegenerative diseases. Studying tau experimentally has been difficult as it is an Intrinsically Disordered Protein (IDP).

As such, traditional structural biology approaches are unable to capture the conformational states of tau in atomistic detail.

Recently, our collaborators have utilized single molecule FRET experiments to experimentally characterize tau by measuring the pairwise distance between different regions.

While simulations of tau could provide atomistic detail of the tau conformational ensemble, historically simulations of IDPs have been challenging as force fields (the parameters which govern the underlying physics of a simulation) and their accompyning models of waters have favored well-folded proteins.

In this project series we embark on an effort to characterize which force field and water models most accurately recapitulate tau experimental results.

We believe these findings will be broadly applicable to all researchers studying intrinsically disordered proteins, and aspire to keep performing these benchmarking simulations as new force field and waters are released.

We also expect these simulations to yield useful information about the tau conformational ensemble. N.B.

because tau is an intrinsically disordered protein, it can fully unfold and refold quite rapidly.

To ensure the protein remains in water the entire simulation, we have included a large number of waters in the system.

As a result these simulations are a good deal more RAM intensive than prior FAH simulations.

Accordingly, we have implemented a minimum system memory requirement of 8000 MiB to run these simulations.

p18251 - amber99sb-disp with tip4pd water p18255- amber14sb with tip3p water p18256- amber03 with tip3p water p18257- amber19sb with opc water p18258- amber19sb with opc3 water p18259 - amber19sb with opc3 pol water p18260- amber99sb-star-ILDN with tip4pd water p18261- charmm36m with tip3p water.

RELATED TERMS GLOSSARY AI BETA

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

Alzheimer's disease

A progressive neurodegenerative disease characterized by memory loss and cognitive decline.

Clinical: Healthcare
Medicine / Neurology

Alzheimer's disease is a serious brain disorder that gradually destroys memory and thinking skills. It affects millions of people worldwide and is the most common cause of dementia. There is currently no cure for Alzheimer's, but treatments can help manage symptoms.


neurofibrillary tangles

Abnormal accumulations of tau protein inside nerve cells.

Pathological: Healthcare
Medicine / Neurology

Neurofibrillary tangles are twisted fibers that form inside brain cells in people with Alzheimer's disease. They are one of the hallmarks of the disease and contribute to the death of neurons.


tau protein

A microtubule-associated protein that plays a role in stabilizing microtubules.

Protein: Healthcare
Medicine / Neurology

Tau is a protein found in brain cells that helps maintain the structure of microtubules. Microtubules are essential for many cellular functions, including transport and cell division. In Alzheimer's disease, tau becomes abnormally tangled and contributes to neuronal damage.


microtubules

Hollow tubes made of protein that form part of the cytoskeleton.

Cellular Component: Biotechnology
Medicine / Cell Biology

Microtubules are long, thin structures found inside cells that play a vital role in cell shape, movement, and transport. They are essential for many cellular processes, such as cell division and intracellular transport.


Intrinsically Disordered Protein (IDP)

A protein that lacks a fixed three-dimensional structure.

Scientific: Pharmaceutical Research
Biotechnology / Protein Science

Intrinsically disordered proteins (IDPs) are a unique class of proteins that do not have a stable, defined shape. They exist in a flexible, constantly changing state, allowing them to perform diverse functions.


force field

A set of mathematical equations that describes the interactions between atoms in a molecular simulation.

Scientific: Pharmaceutical Research
Biotechnology / Molecular Modeling

Force fields are used in computer simulations to model the behavior of molecules. They define how atoms interact with each other, such as through electrostatic forces or van der Waals forces.


FRET

Förster Resonance Energy Transfer.

Scientific: Pharmaceutical Research
Biotechnology / Fluorescence Spectroscopy

FRET is a technique used to measure the distance between two molecules labeled with fluorescent tags. It has applications in studying protein interactions and molecular dynamics.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:30:39
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 5090
GB202 [GeForce RTX 5090]
Nvidia GB202 37,175,535 59,000 630.09 0 hrs 2 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 28,164,874 568,925 49.51 0 hrs 29 mins
3 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 19,239,859 59,000 326.10 0 hrs 4 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,110,946 461,071 34.94 0 hrs 41 mins
5 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 15,081,658 534,988 28.19 0 hrs 51 mins
6 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 13,246,808 59,000 224.52 0 hrs 6 mins
7 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 12,266,229 448,622 27.34 0 hrs 53 mins
8 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 10,630,271 202,358 52.53 0 hrs 27 mins
9 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 9,594,414 218,191 43.97 0 hrs 33 mins
10 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 8,357,248 59,000 141.65 0 hrs 10 mins
11 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,157,277 376,262 21.68 1 hrs 6 mins
12 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 7,974,056 176,060 45.29 0 hrs 32 mins
13 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,500,590 237,061 31.64 0 hrs 46 mins
14 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,176,522 451,007 15.91 1 hrs 30 mins
15 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 6,652,778 59,000 112.76 0 hrs 13 mins
16 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 6,214,719 156,853 39.62 0 hrs 36 mins
17 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 5,941,369 421,348 14.10 1 hrs 42 mins
18 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 5,667,297 328,034 17.28 1 hrs 23 mins
19 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,563,635 217,374 25.59 0 hrs 56 mins
20 GeForce RTX 4080 Max-Q / Mobile
AD104M [GeForce RTX 4080 Max-Q / Mobile]
Nvidia AD104M 5,413,379 403,195 13.43 1 hrs 47 mins
21 GeForce RTX 5060
GB206 [GeForce RTX 5060]
Nvidia GB206 5,313,453 59,000 90.06 0 hrs 16 mins
22 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,041,000 269,752 18.69 1 hrs 17 mins
23 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 4,936,709 289,143 17.07 1 hrs 24 mins
24 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,544,232 317,325 14.32 1 hrs 41 mins
25 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,484,644 385,555 11.63 2 hrs 4 mins
26 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 4,325,396 115,125 37.57 0 hrs 38 mins
27 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 3,884,796 327,851 11.85 2 hrs 2 mins
28 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,840,750 287,493 13.36 1 hrs 48 mins
29 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,535,441 355,406 9.95 2 hrs 25 mins
30 GeForce RTX 4070 Max-Q / Mobile
AD106M [GeForce RTX 4070 Max-Q / Mobile]
Nvidia AD106M 3,267,888 59,000 55.39 0 hrs 26 mins
31 RTX 4000 SFF Ada Generation
AD104GL [RTX 4000 SFF Ada Generation]
Nvidia AD104GL 3,056,081 59,000 51.80 0 hrs 28 mins
32 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,001,291 300,468 9.99 2 hrs 24 mins
33 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,879,797 285,126 10.10 2 hrs 23 mins
34 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,833,505 321,598 8.81 2 hrs 43 mins
35 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,824,108 59,000 47.87 0 hrs 30 mins
36 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 2,811,803 59,000 47.66 0 hrs 30 mins
37 Radeon 8050S/8060S
Strix Halo [Radeon 8050S/8060S]
AMD Strix Halo 2,609,324 59,000 44.23 0 hrs 33 mins
38 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,464,075 179,693 13.71 1 hrs 45 mins
39 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,448,482 59,000 41.50 0 hrs 35 mins
40 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,308,122 309,079 7.47 3 hrs 13 mins
41 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,921,501 268,971 7.14 3 hrs 22 mins
42 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 1,719,646 244,115 7.04 3 hrs 24 mins
43 Radeon PRO W6400
Navi 24 [Radeon PRO W6400]
AMD Navi 24 1,577,046 59,000 26.73 0 hrs 54 mins
44 Radeon RX 9060(XT)
Navi 44 [Radeon RX 9060(XT)]
AMD Navi 44 809,717 189,665 4.27 5 hrs 37 mins
45 Radeon PRO W7500
Navi 33 [Radeon PRO W7500]
AMD Navi 33 759,053 59,000 12.87 1 hrs 52 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:30:39
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 3 3100 4-CORE 8 AMD