RESEARCH: ALZHEIMERS
FOLDING PROJECT #18246 PROFILE
PROJECT TEAM
Manager(s): Justin MillerInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 301,528Core: 0x27
Status: Public
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Alzheimer's disease is a significant cause of death in the USA and there are no effective treatments to halt or reverse disease progression.
Genetic polymorphisms (changes to the amino acids that comprise the protein) in apolipoprotein E (ApoE) are one of the strongest predictors of Alzheimer’s disease.
There are three dominant alleles (versions) of ApoE that are found in humans.
Each ApoE allele differs only by a single amino acid substitution.
ApoE3 is most common and carries a neutral risk for AD.
Carriers of ApoE2 (R158C) appear protected from Alzehimer's disease, whereas ApoE4 (C112R) carriers are 12-fold more likely to develop Alzheimer's disease.
Finally, a recent variant in ApoE3, ApoEchristchurch (R136S) has emerged which also appears to protect from Alzheimer's disease.
How these mutations in ApoE contribute to Alzheimer's disease, as well as how mutations in ApoE impact ApoE function, remains unclear. It is clear that ApoE isoforms can protect from Alzheimer's, suggesting that ApoE targeted therapeutics may be a means of reversing or preventing Alzheimer's disease progression.
Here, we will simulate how one varaiants of ApoE move in solution.
We hope these simulations will lead to a better understanding of how ApoE contributes to Alzheimer's disease. In our previous projects we simulated ApoE variants in the amber03 force field with the tip3p water model.
In our recent work, we have found that the amber99sb*-ILDN force field with tip4pd water does a reasonably good job of recapitulating appropriate protein dynamics for both disordered and ordered proteins.
Here, we apply these findings to ApoE4 to see if these simulations yield ensembles that more closely resemble experimental findings.
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PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Saturday, 11 July 2026 18:30:50|
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 | 37,338,775 | 191,682 | 194.80 | 0 hrs 7 mins |
| 2 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 27,954,323 | 191,682 | 145.84 | 0 hrs 10 mins |
| 3 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 24,534,333 | 420,018 | 58.41 | 0 hrs 25 mins |
| 4 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 21,822,214 | 191,682 | 113.85 | 0 hrs 13 mins |
| 5 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 18,302,847 | 1,341,331 | 13.65 | 1 hrs 46 mins |
| 6 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 17,812,157 | 708,994 | 25.12 | 0 hrs 57 mins |
| 7 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 15,302,494 | 191,682 | 79.83 | 0 hrs 18 mins |
| 8 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 14,711,911 | 191,682 | 76.75 | 0 hrs 19 mins |
| 9 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 14,108,708 | 432,947 | 32.59 | 0 hrs 44 mins |
| 10 | RTX PRO 4000 Blackwell GB203GL [RTX PRO 4000 Blackwell] |
Unknown | GB203GL | 13,183,102 | 191,682 | 68.78 | 0 hrs 21 mins |
| 11 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 12,492,781 | 191,682 | 65.17 | 0 hrs 22 mins |
| 12 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 8,076,494 | 191,682 | 42.13 | 0 hrs 34 mins |
| 13 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 7,451,202 | 191,682 | 38.87 | 0 hrs 37 mins |
| 14 | GeForce RTX 5060 GB206 [GeForce RTX 5060] |
Nvidia | GB206 | 6,407,942 | 191,682 | 33.43 | 0 hrs 43 mins |
| 15 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,244,544 | 191,682 | 32.58 | 0 hrs 44 mins |
| 16 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 6,095,970 | 191,682 | 31.80 | 0 hrs 45 mins |
| 17 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 6,041,028 | 191,682 | 31.52 | 0 hrs 46 mins |
| 18 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 5,438,423 | 225,404 | 24.13 | 0 hrs 60 mins |
| 19 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 4,963,703 | 191,682 | 25.90 | 0 hrs 56 mins |
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| 20 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,961,430 | 191,682 | 25.88 | 0 hrs 56 mins |
| 21 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,145,928 | 191,682 | 21.63 | 1 hrs 7 mins |
| 22 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,599,157 | 191,682 | 18.78 | 1 hrs 17 mins |
| 23 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 3,246,218 | 191,682 | 16.94 | 1 hrs 25 mins |
| 24 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,955,889 | 191,682 | 15.42 | 1 hrs 33 mins |
| 25 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,529,257 | 191,682 | 13.20 | 1 hrs 49 mins |
| 26 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 2,089,521 | 191,682 | 10.90 | 2 hrs 12 mins |
| 27 | Radeon PRO W6400 Navi 24 [Radeon PRO W6400] |
AMD | Navi 24 | 491,580 | 191,682 | 2.56 | 9 hrs 21 mins |
| 28 | Radeon RX 6400/6500XT Navi 24 [Radeon RX 6400/6500XT] |
AMD | Navi 24 | 388,497 | 376,149 | 1.03 | 23 hrs 14 mins |
| 29 | Radeon RX 6400 / 6500 XT Navi 24 [Radeon RX 6400 / 6500 XT] |
AMD | Navi 24 | 304,146 | 191,682 | 1.59 | 15 hrs 8 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Saturday, 11 July 2026 18:30:50|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|