RESEARCH: ALZHEIMERS
FOLDING PROJECT #18256 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 919,221
Core: 0x27
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Alzheimer's disease is caused by clumps of a protein called tau. Studying tau is hard because it doesn't have a fixed shape. This project uses computer simulations to figure out the best way to model tau, which will help us understand Alzheimer's better.

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 Term: Healthcare
Neurology / Dementia

Alzheimer's disease is a serious brain disorder that causes problems with thinking, memory, and behavior. It is the most common cause of dementia, a condition that affects many aspects of life.


neurofibrillary tangles

Abnormal accumulations of tau protein inside nerve cells.

Pathological Feature: Healthcare
Neurology / Neuropathology

Neurofibrillary tangles are clumps of twisted fibers found in the brains of people with Alzheimer's disease. They disrupt normal cell function and contribute to brain damage.


tau protein

A protein involved in stabilizing microtubules.

Biological Molecule: Life Sciences
Biochemistry / Cellular Biology

Tau is a protein that helps maintain the structure of nerve cells. In Alzheimer's disease, tau becomes abnormally twisted and clumps together, forming neurofibrillary tangles.


microtubules

Hollow protein tubes that help maintain cell shape and transport materials.

Cellular Component: Life Sciences
Cell Biology / Cytoskeleton

Microtubules are important structural components of cells. They provide support, facilitate movement, and play a role in intracellular transport.


Intrinsically Disordered Protein (IDP)

A protein that lacks a fixed three-dimensional structure.

Scientific Term: Life Sciences
Biochemistry / Structural Biology

Intrinsically disordered proteins (IDPs) are unique because they don't have a stable shape. This allows them to be flexible and interact with many different molecules.


force fields

Parameters that govern the interactions between atoms in a molecular simulation.

Computational Tool: Life Sciences
Bioinformatics / Molecular Modeling

Force fields are mathematical models used to simulate the behavior of molecules. They help researchers understand how proteins fold and interact with each other.


simulations

Computer models used to predict the behavior of biological systems.

Computational Method: Life Sciences
Bioinformatics / Drug Discovery

Simulations are powerful tools that allow researchers to study complex biological processes in a virtual environment.


FRET

Förster Resonance Energy Transfer

Experimental Technique: Life Sciences
Biochemistry / Fluorescence Spectroscopy

FRET is a technique used to study the interactions between molecules by measuring the transfer of energy between fluorescent probes.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:30:44
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 46,236,307 39,000 1185.55 0 hrs 1 mins
2 RTX PRO 6000 Blackwell Server Edition
GB202GL [RTX PRO 6000 Blackwell Server Edition]
Nvidia GB202GL 38,672,692 39,000 991.61 0 hrs 1 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 24,862,887 308,455 80.60 0 hrs 18 mins
4 RTX PRO 6000 Blackwell Max-Q Workstation Edition
GB202GL [RTX PRO 6000 Blackwell Max-Q Workstation Edition]
Nvidia GB202GL 21,970,177 39,000 563.34 0 hrs 3 mins
5 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 18,911,758 335,339 56.40 0 hrs 26 mins
6 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 17,965,989 101,337 177.29 0 hrs 8 mins
7 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 17,909,060 39,000 459.21 0 hrs 3 mins
8 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 17,748,001 90,901 195.25 0 hrs 7 mins
9 GeForce RTX 5090 Max-Q / Mobile
GB203M / GN22 [GeForce RTX 5090 Max-Q / Mobile]
Nvidia GB203M / GN22 13,921,939 39,000 356.97 0 hrs 4 mins
10 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 11,552,376 333,198 34.67 0 hrs 42 mins
11 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 11,548,489 262,632 43.97 0 hrs 33 mins
12 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 11,450,118 53,726 213.12 0 hrs 7 mins
13 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 10,792,175 99,544 108.42 0 hrs 13 mins
14 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 10,334,973 100,806 102.52 0 hrs 14 mins
15 GeForce RTX 4090 Laptop GPU
AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU]
Nvidia AD103M / GN21-X11 8,689,845 39,000 222.82 0 hrs 6 mins
16 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 8,413,691 356,232 23.62 1 hrs 1 mins
17 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,154,717 343,738 23.72 1 hrs 1 mins
18 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 7,620,959 253,789 30.03 0 hrs 48 mins
19 GeForce RTX 5080 Max-Q / Mobile
GB203M / GN22-X9 [GeForce RTX 5080 Max-Q / Mobile]
Nvidia GB203M / GN22-X9 7,435,474 39,000 190.65 0 hrs 8 mins
20 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 6,676,669 290,128 23.01 1 hrs 3 mins
21 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,675,449 308,868 21.61 1 hrs 7 mins
22 GeForce RTX 4080 Max-Q / Mobile
AD104M [GeForce RTX 4080 Max-Q / Mobile]
Nvidia AD104M 6,591,925 324,747 20.30 1 hrs 11 mins
23 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 6,007,633 140,593 42.73 0 hrs 34 mins
24 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 5,333,548 302,077 17.66 1 hrs 22 mins
25 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 5,234,645 164,203 31.88 0 hrs 45 mins
26 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,144,424 305,668 16.83 1 hrs 26 mins
27 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 5,122,283 43,385 118.07 0 hrs 12 mins
28 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 4,806,513 284,882 16.87 1 hrs 25 mins
29 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,359,127 231,639 18.82 1 hrs 17 mins
30 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,355,513 88,464 49.23 0 hrs 29 mins
31 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 4,314,376 39,000 110.63 0 hrs 13 mins
32 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,915,942 198,752 19.70 1 hrs 13 mins
33 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,828,273 39,000 98.16 0 hrs 15 mins
34 GeForce RTX 4070 Max-Q / Mobile
AD106M [GeForce RTX 4070 Max-Q / Mobile]
Nvidia AD106M 3,687,115 39,000 94.54 0 hrs 15 mins
35 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,317,085 104,451 31.76 0 hrs 45 mins
36 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,302,917 258,974 12.75 1 hrs 53 mins
37 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,950,449 39,000 75.65 0 hrs 19 mins
38 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 2,935,307 39,000 75.26 0 hrs 19 mins
39 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 2,906,418 252,910 11.49 2 hrs 5 mins
40 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,887,979 39,000 74.05 0 hrs 19 mins
41 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,775,870 249,110 11.14 2 hrs 9 mins
42 Radeon RX 9060(XT)
Navi 44 [Radeon RX 9060(XT)]
AMD Navi 44 2,715,839 72,281 37.57 0 hrs 38 mins
43 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,610,458 243,443 10.72 2 hrs 14 mins
44 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,468,607 173,019 14.27 1 hrs 41 mins
45 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 2,461,283 240,718 10.22 2 hrs 21 mins
46 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,255,954 39,000 57.84 0 hrs 25 mins
47 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 2,005,089 195,465 10.26 2 hrs 20 mins
48 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 1,958,823 219,767 8.91 2 hrs 42 mins
49 GeForce RTX 4050 Max-Q / Mobile
AD107M [GeForce RTX 4050 Max-Q / Mobile]
Nvidia AD107M 1,941,616 39,000 49.79 0 hrs 29 mins
50 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,670,709 39,000 42.84 0 hrs 34 mins
51 Radeon RX 6650 XT
Navi 23 [Radeon RX 6650 XT]
AMD Navi 23 1,533,801 39,000 39.33 0 hrs 37 mins
52 Radeon RX 7700S/7600S
Navi 33 [Radeon RX 7700S/7600S]
AMD Navi 33 1,426,779 39,000 36.58 0 hrs 39 mins
53 RX 5500(M)/Pro 5500M
Navi 14 [RX 5500(M)/Pro 5500M]
AMD Navi 14 528,454 46,711 11.31 2 hrs 7 mins
54 Radeon RX 6400 / 6500 XT
Navi 24 [Radeon RX 6400 / 6500 XT]
AMD Navi 24 507,398 39,000 13.01 1 hrs 51 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:30:44
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 12TH GEN CORE I5-12400F 12 Intel