RESEARCH: ALZHEIMERS
FOLDING PROJECT #18245 PROFILE
PROJECT TEAM
Manager(s): Justin MillerInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 400,351Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project explores how changes in the ApoE protein might affect Alzheimer's disease. ApoE comes in different versions, some linked to a higher risk of Alzheimer's while others seem protective. The researchers use computer simulations to study how these different versions move and interact, hoping to understand their role in the disease and potentially 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 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.
RELATED TERMS GLOSSARY AI BETA
Alzheimer's disease
A progressive neurodegenerative disorder affecting memory, thinking and behavior.
Alzheimer's disease is a serious brain disorder that causes memory loss, thinking problems, and changes in personality. It is the most common cause of dementia, a group of disorders that affect cognitive function. There are currently no effective treatments to cure Alzheimer's disease.
Genetic polymorphisms
Variations in DNA sequences among individuals.
Genetic polymorphisms are variations in the DNA sequence that occur within a population. These variations can influence an individual's susceptibility to certain diseases, their response to medications, and other traits.
Apolipoprotein E (ApoE)
A protein that transports cholesterol and other lipids in the blood.
ApoE is a crucial protein involved in transporting cholesterol and fats throughout the body. It plays a role in various physiological processes, including lipid metabolism and brain function.
Alleles
Alternative forms of a gene.
Alleles are different versions of the same gene. For example, a gene for eye color might have alleles for blue eyes, brown eyes, or green eyes.
Amino acid substitution
A change in one amino acid in a protein sequence.
Amino acid substitution is a type of genetic mutation where one amino acid is replaced by another in a protein. This can alter the protein's function and structure.
ApoE2
A variant of apolipoprotein E that appears to protect against Alzheimer's disease.
ApoE2 is a specific form of apolipoprotein E that has been linked to a reduced risk of developing Alzheimer's disease. It may play a role in protecting brain cells from damage.
ApoE4
A variant of apolipoprotein E that increases the risk of Alzheimer's disease.
ApoE4 is a form of apolipoprotein E associated with an increased likelihood of developing Alzheimer's disease. It may contribute to the accumulation of amyloid plaques in the brain, a hallmark of the disease.
ApoE3
The most common variant of apolipoprotein E.
ApoE3 is the most prevalent form of apolipoprotein E. It has a neutral effect on Alzheimer's disease risk.
ApoEchristchurch
A recent variant of apolipoprotein E that appears to protect against Alzheimer's disease.
ApoEchristchurch is a newly identified variant of apolipoprotein E associated with reduced risk of Alzheimer's disease. It may offer insights into potential therapeutic targets for the disease.
Amber03 force field
A set of parameters used to describe the interactions between atoms in a molecular simulation.
Amber03 force field is a computational model used to simulate the behavior of molecules. It defines how atoms interact with each other based on their chemical properties.
Tip3p water model
A model of water molecules used in molecular simulations.
Tip3p water model is a representation of water molecules in computer simulations. It captures the essential properties of water, allowing researchers to study its interactions with other molecules.
Amber99sb*-ILDN force field
An advanced set of parameters used to describe the interactions between atoms in a molecular simulation.
Amber99sb*-ILDN force field is an improved model for simulating protein structures and dynamics. It provides more accurate representations of protein properties compared to older force fields.
Tip4pd water model
A model of water molecules used in molecular simulations.
Tip4pd water model is a refined representation of water molecules used in computer simulations. It offers better accuracy for simulating water properties compared to earlier models.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:30:52|
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 | 27,204,934 | 92,806 | 293.14 | 0 hrs 5 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 22,571,529 | 356,523 | 63.31 | 0 hrs 23 mins |
| 3 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 22,359,598 | 92,806 | 240.93 | 0 hrs 6 mins |
| 4 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 16,597,048 | 668,920 | 24.81 | 0 hrs 58 mins |
| 5 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 16,562,112 | 92,806 | 178.46 | 0 hrs 8 mins |
| 6 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 15,221,494 | 733,777 | 20.74 | 1 hrs 9 mins |
| 7 | GeForce RTX 5090 Max-Q / Mobile GB203M / GN22 [GeForce RTX 5090 Max-Q / Mobile] |
Nvidia | GB203M / GN22 | 13,936,599 | 92,806 | 150.17 | 0 hrs 10 mins |
| 8 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 13,548,756 | 92,806 | 145.99 | 0 hrs 10 mins |
| 9 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 12,247,222 | 318,771 | 38.42 | 0 hrs 37 mins |
| 10 | GeForce RTX 4070 Ti SUPER AD102 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD102 | 12,032,257 | 92,806 | 129.65 | 0 hrs 11 mins |
| 11 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,330,703 | 332,488 | 31.07 | 0 hrs 46 mins |
| 12 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 9,495,762 | 92,806 | 102.32 | 0 hrs 14 mins |
| 13 | RTX PRO 5000 Blackwell Generation Laptop GPU GB203GLM [RTX PRO 5000 Blackwell Generation Laptop GPU] |
Nvidia | GB203GLM | 8,010,774 | 92,806 | 86.32 | 0 hrs 17 mins |
| 14 | GeForce RTX 4090 Laptop GPU AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU] |
Nvidia | AD103M / GN21-X11 | 7,777,212 | 92,806 | 83.80 | 0 hrs 17 mins |
| 15 | GeForce RTX 4060 Ti AD104 [GeForce RTX 4060 Ti] |
Nvidia | AD104 | 7,756,446 | 92,806 | 83.58 | 0 hrs 17 mins |
| 16 | RTX 4000 SFF Ada Generation AD104GL [RTX 4000 SFF Ada Generation] |
Nvidia | AD104GL | 7,710,532 | 92,806 | 83.08 | 0 hrs 17 mins |
| 17 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,529,108 | 364,606 | 20.65 | 1 hrs 10 mins |
| 18 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,436,060 | 388,439 | 19.14 | 1 hrs 15 mins |
| 19 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 7,280,386 | 92,806 | 78.45 | 0 hrs 18 mins |
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| 20 | RTX 4000 Ada Generation AD104GL [RTX 4000 Ada Generation] |
Nvidia | AD104GL | 7,238,269 | 92,806 | 77.99 | 0 hrs 18 mins |
| 21 | RTX PRO 2000 Blackwell GB206GL [RTX PRO 2000 Blackwell] |
Nvidia | GB206GL | 6,870,847 | 92,806 | 74.03 | 0 hrs 19 mins |
| 22 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,821,267 | 92,806 | 73.50 | 0 hrs 20 mins |
| 23 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 6,532,218 | 92,806 | 70.39 | 0 hrs 20 mins |
| 24 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,434,694 | 92,806 | 58.56 | 0 hrs 25 mins |
| 25 | GeForce RTX 5060 GB206 [GeForce RTX 5060] |
Nvidia | GB206 | 5,170,355 | 92,806 | 55.71 | 0 hrs 26 mins |
| 26 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,909,271 | 288,460 | 17.02 | 1 hrs 25 mins |
| 27 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 4,803,279 | 93,743 | 51.24 | 0 hrs 28 mins |
| 28 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,797,686 | 114,605 | 41.86 | 0 hrs 34 mins |
| 29 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 4,592,177 | 506,969 | 9.06 | 2 hrs 39 mins |
| 30 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 4,403,486 | 286,272 | 15.38 | 1 hrs 34 mins |
| 31 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 4,352,376 | 92,806 | 46.90 | 0 hrs 31 mins |
| 32 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,305,397 | 92,806 | 46.39 | 0 hrs 31 mins |
| 33 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,222,858 | 92,806 | 45.50 | 0 hrs 32 mins |
| 34 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,174,307 | 92,806 | 44.98 | 0 hrs 32 mins |
| 35 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 3,992,771 | 92,806 | 43.02 | 0 hrs 33 mins |
| 36 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 3,904,378 | 92,806 | 42.07 | 0 hrs 34 mins |
| 37 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,854,488 | 205,996 | 18.71 | 1 hrs 17 mins |
| 38 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 3,812,046 | 92,806 | 41.08 | 0 hrs 35 mins |
| 39 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,444,208 | 92,806 | 37.11 | 0 hrs 39 mins |
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|
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| 40 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,343,204 | 92,806 | 36.02 | 0 hrs 40 mins |
| 41 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 3,322,818 | 471,628 | 7.05 | 3 hrs 24 mins |
| 42 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,998,162 | 94,098 | 31.86 | 0 hrs 45 mins |
| 43 | Intel Arc B580 Graphics Battlemage G21 [Intel Arc B580 Graphics] |
Intel | Battlemage G21 | 2,928,971 | 92,806 | 31.56 | 0 hrs 46 mins |
| 44 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 2,913,218 | 92,806 | 31.39 | 0 hrs 46 mins |
| 45 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,689,930 | 92,806 | 28.98 | 0 hrs 50 mins |
| 46 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,675,931 | 279,502 | 9.57 | 2 hrs 30 mins |
| 47 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,571,769 | 92,806 | 27.71 | 0 hrs 52 mins |
| 48 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,446,093 | 134,833 | 18.14 | 1 hrs 19 mins |
| 49 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,419,762 | 92,806 | 26.07 | 0 hrs 55 mins |
| 50 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,303,265 | 92,806 | 24.82 | 0 hrs 58 mins |
| 51 | Radeon 8050S/8060S Strix Halo [Radeon 8050S/8060S] |
AMD | Strix Halo | 2,240,004 | 92,806 | 24.14 | 0 hrs 60 mins |
| 52 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,213,089 | 292,581 | 7.56 | 3 hrs 10 mins |
| 53 | GeForce RTX 3060 G၁104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,993,383 | 92,806 | 21.48 | 1 hrs 7 mins |
| 54 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,993,383 | 92,806 | 21.48 | 1 hrs 7 mins |
| 55 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,881,269 | 92,806 | 20.27 | 1 hrs 11 mins |
| 56 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,812,249 | 92,806 | 19.53 | 1 hrs 14 mins |
| 57 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,809,260 | 434,880 | 4.16 | 5 hrs 46 mins |
| 58 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 1,619,225 | 92,806 | 17.45 | 1 hrs 23 mins |
| 59 | GeForce RTX 5080 Max-Q / Mobile GB203M / GN22-X9 [GeForce RTX 5080 Max-Q / Mobile] |
Nvidia | GB203M / GN22-X9 | 1,612,384 | 92,806 | 17.37 | 1 hrs 23 mins |
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|||||||
| 60 | Radeon RX 6650 XT Navi 23 [Radeon RX 6650 XT] |
AMD | Navi 23 | 1,426,615 | 92,806 | 15.37 | 1 hrs 34 mins |
| 61 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,378,223 | 92,806 | 14.85 | 1 hrs 37 mins |
| 62 | RX 5600 OEM/5600XT/5700(XT) Navi 10 [RX 5600 OEM/5600XT/5700(XT)] |
AMD | Navi 10 | 1,075,274 | 92,806 | 11.59 | 2 hrs 4 mins |
| 63 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 851,627 | 92,806 | 9.18 | 2 hrs 37 mins |
| 64 | Radeon PRO W6400 Navi 24 [Radeon PRO W6400] |
AMD | Navi 24 | 476,500 | 92,806 | 5.13 | 4 hrs 40 mins |
| 65 | RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M] |
AMD | Navi 14 | 427,926 | 92,806 | 4.61 | 5 hrs 12 mins |
| 66 | Radeon 880M/890M Strix Point [Radeon 880M/890M] |
AMD | Strix Point | 392,639 | 92,806 | 4.23 | 5 hrs 40 mins |
| 67 | Radeon PRO W7500 Navi 33 [Radeon PRO W7500] |
AMD | Navi 33 | 332,800 | 92,806 | 3.59 | 6 hrs 42 mins |
| 68 | Radeon RX 6400/6500XT Navi 24 [Radeon RX 6400/6500XT] |
AMD | Navi 24 | 309,652 | 215,153 | 1.44 | 16 hrs 41 mins |
| 69 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 247,849 | 92,806 | 2.67 | 8 hrs 59 mins |
| 70 | Radeon 760M/780M Phoenix/Hawk Point [Radeon 760M/780M] |
AMD | Phoenix/Hawk Point | 161,894 | 92,806 | 1.74 | 13 hrs 45 mins |
| 71 | Geforce RTX 3070 Ti Laptop GPU GA104M [Geforce RTX 3070 Ti Laptop GPU] |
Nvidia | GA104M | 63,705 | 92,806 | 0.69 | 34 hrs 58 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:30:52|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | RYZEN 9 5900XT 16-CORE | 32 | 19,103 | 611,296 | AMD |
| 2 | RYZEN 3 3100 4-CORE | 8 | AMD | ||
| 3 | RYZEN 9 3900 12-CORE | 24 | AMD |