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Research: ALZHEIMERS Folding Project #18264

Project #18264 overview

Project Summary AI Beta

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Project team

Manager(s)
Justin Miller
Institution
University of Pennsylvania

Work unit

Atoms
919,221
Core
0x27
Status
Public
Source material

Official 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 accompanying 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 182[51-56,58,61,62].

and 12000 MiB to run 182[57,60] 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 p18260- amber99sb-star-ILDN with tip4p water p18261- amber19sb with opc3 pol water p18262 - charmm36m with tip3p water p18263 - amber99sb-star-ILDN with tip4pd water p18264 - amber99sb-star-ILDN with tip3p water.

Performance data

Hardware Performance for Project 18264

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Sunday, 02 August 2026 21:52:45

GPU PPD Averages

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 49,171,786 398,257 123.47 0 hrs 12 mins
2 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 27,210,225 398,257 68.32 0 hrs 21 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 26,768,420 1,017,524 26.31 0 hrs 55 mins
4 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 20,408,247 398,257 51.24 0 hrs 28 mins
5 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 16,985,117 2,157,657 7.87 3 hrs 3 mins
6 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,903,199 1,257,964 13.44 1 hrs 47 mins
7 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 12,013,940 398,257 30.17 0 hrs 48 mins
8 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 10,501,471 398,257 26.37 0 hrs 55 mins
9 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 7,646,097 398,257 19.20 1 hrs 15 mins
10 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 7,265,001 398,257 18.24 1 hrs 19 mins
11 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 5,623,664 570,483 9.86 2 hrs 26 mins
12 GeForce RTX 5060
GB206 [GeForce RTX 5060]
Nvidia GB206 5,437,382 398,257 13.65 1 hrs 45 mins
13 GeForce RTX 4060 Ti 16GB
AD106 [GeForce RTX 4060 Ti 16GB]
Nvidia AD106 5,379,866 398,257 13.51 1 hrs 47 mins
14 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 5,148,154 398,257 12.93 1 hrs 51 mins
15 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 3,255,695 398,257 8.17 2 hrs 56 mins