Research section Research projects and references

Research: ALZHEIMERS Folding Project #18200

Project #18200 overview

Project Summary AI Beta

Alzheimer's disease is a serious problem with no cure. A gene called ApoE affects your risk of getting it. Some versions of ApoE protect against Alzheimer's, while others increase the risk. This project uses computer simulations to understand how ApoE works and how it might be used to treat Alzheimer's.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Justin Miller
Institution
Washington University in St. Louis

Work unit

Atoms
272,434
Core
OPENMM_22
Status
Public

No related projects listed.

Source material

Official 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.

How these mutations in ApoE contribute to Alzheimer's disease, as well as how mutations in ApoE impact ApoE function, remains unclear. However, 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 varaiant of ApoE, ApoE4, moves in solution.

We hope these simulations will lead to a better understanding of how ApoE contributes to Alzheimer's disease.

in future projects, we will simulate the other ApoE isoforms in an effort to understand how they protect from Alzheimer's disease.

Performance data

Hardware Performance for Project 18200

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

Data as of Friday, 14 August 2026 15:27:57

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 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,951,661 243,746 8.01 2 hrs 60 mins