RESEARCH: CANCER
FOLDING PROJECT #12909 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 13,780
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Proteins need to fold into specific shapes to work properly. Sometimes, changes in the protein's code (mutations) mess up this folding, leading to diseases like cancer and Alzheimer's. The project relates to studying how these mutations affect how proteins fold so we can better understand and prevent 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

A large biomolecule composed of amino acids linked in a chain.

Scientific: Biotechnology
Biological Sciences / Molecular Biology

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


Misfolding

The process by which a protein fails to attain its correct three-dimensional structure.

Scientific: Biotechnology
Biological Sciences / Protein Structure

Protein misfolding occurs when a protein cannot fold into its proper shape. This can disrupt the protein's function and lead to diseases.


Mutations

Changes in the DNA sequence of a gene.

Scientific: Biotechnology
Biological Sciences / Genetics

Mutations are alterations in the genetic code. They can be inherited or acquired during an organism's lifetime and can have various effects on protein function.


Conformation

The three-dimensional shape of a molecule.

Scientific: Biotechnology
Biological Sciences / Protein Structure

Conformation refers to the arrangement of atoms in a molecule. Proteins can have different conformations depending on their environment and function.


Cancer

A disease characterized by uncontrolled cell growth.

Medical: Pharmaceuticals
Healthcare / Oncology

Cancer is a group of diseases involving abnormal cell growth and spread. It can affect various organs and tissues in the body.


Alzheimer's

A neurodegenerative disease characterized by memory loss and cognitive decline.

Medical: Pharmaceuticals
Healthcare / Neurology

Alzheimer's disease is a progressive brain disorder that affects memory, thinking, and behavior. It is the most common cause of dementia.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:57
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 4,428,411 337,633 13.12 1 hrs 50 mins
2 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,529,847 174,999 14.46 1 hrs 40 mins
3 GeForce RTX 2060 12GB
TU106 [GeForce RTX 2060 12GB]
Nvidia TU106 2,342,299 170,219 13.76 1 hrs 45 mins
4 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,226,171 124,847 17.83 1 hrs 21 mins
5 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,774,033 156,105 11.36 2 hrs 7 mins
6 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,353,202 140,579 9.63 2 hrs 30 mins
7 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,277,120 143,550 8.90 2 hrs 42 mins
8 GeForce GTX 1060 6GB
GP104 [GeForce GTX 1060 6GB]
Nvidia GP104 891,098 125,050 7.13 3 hrs 22 mins
9 P106-100
GP106 [P106-100]
Nvidia GP106 790,065 119,112 6.63 3 hrs 37 mins
10 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 727,709 38,906 18.70 1 hrs 17 mins
11 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 695,222 114,756 6.06 3 hrs 58 mins
12 Quadro P3200 Mobile
GP104GLM [Quadro P3200 Mobile]
Nvidia GP104GLM 692,184 85,342 8.11 2 hrs 58 mins
13 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 640,136 31,000 20.65 1 hrs 10 mins
14 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 616,044 31,000 19.87 1 hrs 12 mins
15 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 491,277 97,645 5.03 4 hrs 46 mins
16 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 393,016 50,238 7.82 3 hrs 4 mins
17 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 382,083 79,171 4.83 4 hrs 58 mins
18 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 322,251 88,984 3.62 6 hrs 38 mins
19 GeForce GTX 1050 Mobile
GP107M [GeForce GTX 1050 Mobile]
Nvidia GP107M 271,772 83,540 3.25 7 hrs 23 mins
20 Quadro M4000
GM204GL [Quadro M4000]
Nvidia GM204GL 254,122 81,834 3.11 7 hrs 44 mins
21 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 248,848 81,119 3.07 7 hrs 49 mins
22 GeForce GTX 1050 3 GB Max-Q
GP107M [GeForce GTX 1050 3 GB Max-Q]
Nvidia GP107M 248,832 83,322 2.99 8 hrs 2 mins
23 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 243,140 49,370 4.92 4 hrs 52 mins
24 GeForce MX150
GP107M [GeForce MX150]
Nvidia GP107M 126,534 62,811 2.01 11 hrs 55 mins
25 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 86,519 48,111 1.80 13 hrs 21 mins
26 GeForce GTX 650 Ti
GK106 [GeForce GTX 650 Ti]
Nvidia GK106 54,765 48,999 1.12 21 hrs 28 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:57
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make