RESEARCH: ALZHEIMERS
FOLDING PROJECT #18257 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 linked to abnormal tau protein clumps in the brain. Scientists are using computer simulations to study how tau behaves, aiming to find better treatments for Alzheimer's and other neurodegenerative diseases. They are testing different simulation methods to accurately represent tau's flexibility and interactions with water.

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 disorder characterized by memory loss and cognitive decline.

Clinical: Healthcare
Neurology / Dementia

Alzheimer's disease is a brain disorder that slowly destroys memory and thinking skills. It is the most common cause of dementia, a general term for memory loss and other intellectual abilities severe enough to interfere with daily life. There is no cure for Alzheimer's, but treatments can help manage symptoms.


neurofibrillary tangles

Abnormal accumulations of tau protein within neurons.

Pathological: Healthcare
Neurology / Neuropathology

Neurofibrillary tangles are clumps of a protein called tau that form inside brain cells. These tangles disrupt the normal function of neurons and contribute to the progression of Alzheimer's disease.


tau protein

A microtubule-associated protein involved in neuronal structure and function.

Protein: Healthcare
Neurology / Neuropathology

Tau protein is a vital part of brain cells. It helps stabilize structures called microtubules, which are essential for transporting nutrients and other materials within the cell. In Alzheimer's disease, tau protein malfunctions and forms tangles that damage neurons.


microtubules

Hollow protein filaments that provide structural support and transport within cells.

Cellular Structure: Biotechnology
Cell Biology / Cytoskeleton

Microtubules are long, thin tubes made of protein that act like the cell's internal scaffolding. They help maintain cell shape, move materials around inside the cell, and separate chromosomes during cell division.


Intrinsically Disordered Protein (IDP)

A protein that lacks a stable three-dimensional structure.

Protein: Pharmaceuticals
Biochemistry / Structural Biology

Intrinsically disordered proteins (IDPs) are unique because they don't have a fixed shape. Instead, their structures are flexible and can change depending on their environment. This makes them challenging to study using traditional methods.


single molecule FRET

A technique used to measure the distance between two points in a molecule.

Technique: Biotechnology
Biophysics / Structural Biology

Single-molecule FRET is a powerful tool used to study the structure and dynamics of biomolecules. It involves using fluorescent molecules (called fluorophores) attached to different parts of a molecule. By measuring the energy transfer between these fluorophores, researchers can determine the distance between them.


force field

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

Computational: Pharmaceuticals
Bioinformatics / Molecular Dynamics

Force fields are essential for molecular dynamics simulations. They define how atoms attract and repel each other, allowing researchers to simulate the movement and behavior of molecules over time.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:30:42
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 38,628,352 60,000 643.81 0 hrs 2 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 27,419,231 522,176 52.51 0 hrs 27 mins
3 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 19,660,885 250,521 78.48 0 hrs 18 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,963,022 526,028 32.25 0 hrs 45 mins
5 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 15,533,855 556,012 27.94 0 hrs 52 mins
6 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 13,293,636 60,000 221.56 0 hrs 6 mins
7 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 12,689,519 437,772 28.99 0 hrs 50 mins
8 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 10,851,638 239,342 45.34 0 hrs 32 mins
9 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 9,989,737 194,117 51.46 0 hrs 28 mins
10 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,432,563 479,906 17.57 1 hrs 22 mins
11 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 8,417,025 60,000 140.28 0 hrs 10 mins
12 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 8,319,988 200,772 41.44 0 hrs 35 mins
13 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,994,951 376,007 21.26 1 hrs 8 mins
14 RTX 4000 Ada Generation
AD104GL [RTX 4000 Ada Generation]
Nvidia AD104GL 6,793,356 60,000 113.22 0 hrs 13 mins
15 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 6,626,779 82,635 80.19 0 hrs 18 mins
16 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,597,633 420,329 15.70 1 hrs 32 mins
17 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 6,030,665 202,657 29.76 0 hrs 48 mins
18 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 5,858,644 419,729 13.96 1 hrs 43 mins
19 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,595,861 252,604 22.15 1 hrs 5 mins
20 GeForce RTX 5060
GB206 [GeForce RTX 5060]
Nvidia GB206 5,436,152 60,000 90.60 0 hrs 16 mins
21 GeForce RTX 4080 Max-Q / Mobile
AD104M [GeForce RTX 4080 Max-Q / Mobile]
Nvidia AD104M 5,352,771 405,186 13.21 1 hrs 49 mins
22 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 5,166,907 371,689 13.90 1 hrs 44 mins
23 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 4,980,798 393,529 12.66 1 hrs 54 mins
24 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,901,287 157,465 31.13 0 hrs 46 mins
25 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,848,872 359,757 13.48 1 hrs 47 mins
26 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,476,732 389,149 11.50 2 hrs 5 mins
27 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 4,201,529 117,558 35.74 0 hrs 40 mins
28 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 4,140,542 371,243 11.15 2 hrs 9 mins
29 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,070,045 280,432 14.51 1 hrs 39 mins
30 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,484,366 314,752 11.07 2 hrs 10 mins
31 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,416,153 358,075 9.54 2 hrs 31 mins
32 RTX 4000 SFF Ada Generation
AD104GL [RTX 4000 SFF Ada Generation]
Nvidia AD104GL 3,059,365 60,000 50.99 0 hrs 28 mins
33 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,887,441 333,258 8.66 2 hrs 46 mins
34 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,845,886 244,293 11.65 2 hrs 4 mins
35 GeForce RTX 4070 Max-Q / Mobile
AD106M [GeForce RTX 4070 Max-Q / Mobile]
Nvidia AD106M 2,481,063 60,000 41.35 0 hrs 35 mins
36 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,438,186 318,492 7.66 3 hrs 8 mins
37 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,182,870 60,000 36.38 0 hrs 40 mins
38 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,827,426 288,029 6.34 3 hrs 47 mins
39 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 1,764,656 271,082 6.51 3 hrs 41 mins
40 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 1,692,536 218,690 7.74 3 hrs 6 mins
41 Radeon RX 9060(XT)
Navi 44 [Radeon RX 9060(XT)]
AMD Navi 44 1,210,704 206,552 5.86 4 hrs 6 mins
42 Radeon PRO W6400
Navi 24 [Radeon PRO W6400]
AMD Navi 24 766,763 60,000 12.78 1 hrs 53 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:30:42
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 5950X 16-CORE 32 AMD
2 RYZEN 3 3100 4-CORE 8 AMD
3 RYZEN 9 3900 12-CORE 24 AMD