RESEARCH: CANCER
FOLDING PROJECT #12918 PROFILE

PROJECT TEAM

Manager(s): Diego Kleiman
Institution: University of Illinois Urbana-Champaign

WORK UNIT INFO

Atoms: 14,287
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Proteins are made up of chains that fold into specific shapes. Sometimes, changes in the protein's code (mutations) can mess up this folding process, leading to diseases like cancer and Alzheimer's. The project relates to studying how these mutations affect protein folding so we can better understand and treat these diseases.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Protein misfolding occurs when a peptide cannot fold into its native structure.

Mutations in the protein sequence may cause alterations of the native folded conformation, leading to diseases such as cancer and Alzheimer's.

Understanding protein misfolding as a function of mutations is currently one of the biggest challenges in the biological sciences.

We aim to systematically study folding rates of diverse mutated proteins to better understand and predict folding dynamics.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

Protein

Large biomolecules essential for various biological functions.

Scientific: Biopharmaceuticals
Biotechnology / Structural Biology

Proteins are complex molecules that play vital roles in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.


Misfolding

Incorrect folding of a protein into its native conformation.

Scientific: Biopharmaceuticals
Biotechnology / Protein Science

Misfolding occurs when a protein fails to fold into its correct three-dimensional shape. This can lead to dysfunctional proteins that aggregate and cause cellular damage, contributing to diseases like Alzheimer's.


Mutations

Changes in the DNA sequence that can alter protein structure and function.

Scientific: Biopharmaceuticals
Biotechnology / Molecular Biology

Mutations are alterations in the genetic code. They can introduce changes in amino acid sequences, leading to altered protein properties and potentially contributing to diseases.


Alzheimer's

A progressive neurodegenerative disease characterized by memory loss and cognitive decline.

Medical: Pharmaceuticals
Healthcare / Neurology

Alzheimer's disease is a debilitating brain disorder that causes gradual memory loss, thinking difficulties, and behavioral changes. It is associated with the accumulation of abnormal protein deposits in the brain.


Cancer

Uncontrolled growth and spread of abnormal cells.

Medical: Pharmaceuticals
Healthcare / Oncology

Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. It can affect various organs and tissues in the body.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:53
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 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,981,327 194,252 15.35 1 hrs 34 mins
2 GeForce RTX 2060 12GB
TU106 [GeForce RTX 2060 12GB]
Nvidia TU106 2,577,356 183,071 14.08 1 hrs 42 mins
3 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,143,077 33,220 64.51 0 hrs 22 mins
4 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,962,190 154,767 12.68 1 hrs 54 mins
5 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,866,815 165,715 11.27 2 hrs 8 mins
6 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,636,673 155,688 10.51 2 hrs 17 mins
7 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,382,443 33,220 41.61 0 hrs 35 mins
8 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 879,211 129,389 6.80 3 hrs 32 mins
9 GeForce GTX 1060 6GB
GP104 [GeForce GTX 1060 6GB]
Nvidia GP104 852,043 129,269 6.59 3 hrs 38 mins
10 P106-100
GP106 [P106-100]
Nvidia GP106 759,860 123,099 6.17 3 hrs 53 mins
11 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 688,038 86,713 7.93 3 hrs 1 mins
12 Quadro P3200 Mobile
GP104GLM [Quadro P3200 Mobile]
Nvidia GP104GLM 657,516 79,094 8.31 2 hrs 53 mins
13 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 643,890 86,337 7.46 3 hrs 13 mins
14 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 627,966 33,220 18.90 1 hrs 16 mins
15 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 579,226 112,173 5.16 4 hrs 39 mins
16 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 499,402 33,220 15.03 1 hrs 36 mins
17 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 446,690 60,084 7.43 3 hrs 14 mins
18 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 304,583 92,558 3.29 7 hrs 18 mins
19 GeForce GTX 1050 Mobile
GP107M [GeForce GTX 1050 Mobile]
Nvidia GP107M 263,687 86,763 3.04 7 hrs 54 mins
20 Quadro M4000
GM204GL [Quadro M4000]
Nvidia GM204GL 254,291 85,696 2.97 8 hrs 5 mins
21 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 231,600 81,597 2.84 8 hrs 27 mins
22 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 223,796 81,456 2.75 8 hrs 44 mins
23 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 150,493 71,899 2.09 11 hrs 28 mins
24 GeForce MX150
GP107M [GeForce MX150]
Nvidia GP107M 137,324 69,508 1.98 12 hrs 9 mins
25 GeForce GTX 670/GTX 760Ti OEM
GK104 [GeForce GTX 670/GTX 760Ti OEM] 2634
Nvidia GK104 132,473 33,220 3.99 6 hrs 1 mins
26 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 91,981 61,038 1.51 15 hrs 56 mins
27 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 86,844 33,220 2.61 9 hrs 11 mins
28 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 77,336 61,000 1.27 18 hrs 56 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:53
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make