RESEARCH: CANCER
FOLDING PROJECT #12917 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 17,539
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Protein misfolding happens when a protein can't fold properly. Changes in the protein's code can cause this, leading to diseases like cancer and Alzheimer's. The project relates to studying how these changes affect how proteins fold so we can better understand and predict these problems.

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 biomolecule essential for various biological functions.

Scientific: Pharmaceuticals
Biotechnology / Molecular Biology

Proteins are complex molecules found in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes. Protein misfolding, where a protein fails to adopt its correct 3-dimensional shape, can lead to various diseases.


Misfolding

The process where a protein fails to adopt its correct 3-dimensional structure.

Scientific: Pharmaceuticals
Biotechnology / Protein Science

Misfolding occurs when a protein doesn't fold properly into its intended shape. This can disrupt the protein's function and lead to various health problems. Understanding misfolding is crucial for developing treatments for diseases like Alzheimer's and Parkinson's.


Mutations

Permanent alterations in the DNA sequence.

Scientific: Pharmaceuticals
Biotechnology / Genetics

Mutations are changes in the genetic code. They can occur spontaneously or be induced by environmental factors. Mutations can have a wide range of effects, from being harmless to causing disease.


Cancer

A disease characterized by uncontrolled cell growth.

Pathology: Healthcare
Medicine / Oncology

Cancer is a group of diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body. Mutations in genes that regulate cell growth can contribute to cancer development.


Alzheimer's

A progressive neurodegenerative disease.

Pathology: Healthcare
Medicine / Neurology

Alzheimer's disease is a brain disorder that gradually destroys memory and thinking skills. Protein misfolding and accumulation are implicated in the development of Alzheimer's.

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 3,401,328 194,625 17.48 1 hrs 22 mins
2 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,520,735 171,562 14.69 1 hrs 38 mins
3 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,341,664 31,200 75.05 0 hrs 19 mins
4 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 2,136,633 166,462 12.84 1 hrs 52 mins
5 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,931,859 159,670 12.10 1 hrs 59 mins
6 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,547,303 149,732 10.33 2 hrs 19 mins
7 GeForce GTX 1060 6GB
GP104 [GeForce GTX 1060 6GB]
Nvidia GP104 982,759 129,178 7.61 3 hrs 9 mins
8 P106-100
GP106 [P106-100]
Nvidia GP106 905,368 125,213 7.23 3 hrs 19 mins
9 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 834,877 81,621 10.23 2 hrs 21 mins
10 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 826,215 118,662 6.96 3 hrs 27 mins
11 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 730,127 31,200 23.40 1 hrs 2 mins
12 Quadro P3200 Mobile
GP104GLM [Quadro P3200 Mobile]
Nvidia GP104GLM 708,391 68,673 10.32 2 hrs 20 mins
13 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 705,156 50,695 13.91 1 hrs 44 mins
14 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 702,467 114,938 6.11 3 hrs 56 mins
15 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 581,106 92,719 6.27 3 hrs 50 mins
16 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 534,117 49,881 10.71 2 hrs 14 mins
17 GeForce GTX Titan Black
GK110 [GeForce GTX Titan Black] 5121
Nvidia GK110 400,445 101,522 3.94 6 hrs 5 mins
18 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 358,411 84,206 4.26 5 hrs 38 mins
19 GeForce GTX 1050 3 GB Max-Q
GP107M [GeForce GTX 1050 3 GB Max-Q]
Nvidia GP107M 327,230 88,777 3.69 6 hrs 31 mins
20 GeForce GTX 1050 Mobile
GP107M [GeForce GTX 1050 Mobile]
Nvidia GP107M 290,543 85,822 3.39 7 hrs 5 mins
21 Quadro M4000
GM204GL [Quadro M4000]
Nvidia GM204GL 277,863 84,678 3.28 7 hrs 19 mins
22 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 259,414 84,534 3.07 7 hrs 49 mins
23 GeForce MX150
GP107M [GeForce MX150]
Nvidia GP107M 154,334 69,628 2.22 10 hrs 50 mins
24 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 129,874 31,200 4.16 5 hrs 46 mins
25 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 83,645 62,757 1.33 18 hrs 0 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