RESEARCH: CANCER
FOLDING PROJECT #12922 PROFILE
PROJECT TEAM
Manager(s): Diego KleimanInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 671,031Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Proteins need to fold correctly to work. Sometimes changes in the protein's code mess up this folding, causing diseases like cancer and Alzheimer's. This project looks at how specific changes in a protein's code affect its stability at different temperatures.
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.
This project is concerned with characterizing the effect of specific mutations on the hydrophobic packing of proteins at different temperatures to predict thermostability.
RELATED TERMS GLOSSARY AI BETA
Protein
Large biomolecule composed of amino acids.
Proteins are essential macromolecules that perform a vast array of functions in living organisms. They act as catalysts, structural components, transporters, and signaling molecules. Their intricate three-dimensional structures enable them to interact specifically with other molecules, facilitating vital biological processes.
Misfolding
Failure of a protein to achieve its correct three-dimensional conformation.
Protein misfolding is a phenomenon where a protein fails to adopt its proper three-dimensional shape. This can occur due to genetic mutations, environmental stress, or other factors. Misfolded proteins often lose their function and can aggregate, leading to diseases like Alzheimer's and Parkinson's.
Mutations
Changes in the DNA sequence.
Mutations are alterations in the DNA sequence that can result in changes to protein structure and function. These changes can be inherited or acquired during an organism's lifetime. Mutations play a crucial role in evolution and can contribute to genetic diversity.
Cancer
Uncontrolled cell growth and proliferation.
Cancer is a group of diseases characterized by abnormal cell growth and division. These cells can invade surrounding tissues and spread to other parts of the body (metastasis). Cancer is caused by various factors, including genetic mutations, environmental exposures, and lifestyle choices.
Alzheimer's
Progressive neurodegenerative disorder.
Alzheimer's disease is a chronic neurodegenerative disorder that affects memory, thinking, and behavior. It is characterized by the accumulation of amyloid plaques and tau tangles in the brain, leading to neuronal damage and cell death.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:51|
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 | 45,517,837 | 186,000 | 244.72 | 0 hrs 6 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 34,329,139 | 801,038 | 42.86 | 0 hrs 34 mins |
| 3 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 28,664,178 | 186,000 | 154.11 | 0 hrs 9 mins |
| 4 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 26,601,423 | 273,488 | 97.27 | 0 hrs 15 mins |
| 5 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 26,476,228 | 186,000 | 142.35 | 0 hrs 10 mins |
| 6 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 17,024,149 | 1,092,293 | 15.59 | 1 hrs 32 mins |
| 7 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 14,434,039 | 186,000 | 77.60 | 0 hrs 19 mins |
| 8 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 13,429,437 | 186,000 | 72.20 | 0 hrs 20 mins |
| 9 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 10,716,099 | 926,536 | 11.57 | 2 hrs 5 mins |
| 10 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,579,541 | 900,868 | 10.63 | 2 hrs 15 mins |
| 11 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 8,605,311 | 316,585 | 27.18 | 0 hrs 53 mins |
| 12 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,397,040 | 828,370 | 8.93 | 2 hrs 41 mins |
| 13 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 6,110,737 | 390,360 | 15.65 | 1 hrs 32 mins |
| 14 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,872,856 | 186,000 | 31.57 | 0 hrs 46 mins |
| 15 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 4,131,915 | 186,000 | 22.21 | 1 hrs 5 mins |
| 16 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 4,002,773 | 186,000 | 21.52 | 1 hrs 7 mins |
| 17 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,687,311 | 186,000 | 19.82 | 1 hrs 13 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,187,365 | 620,777 | 1.91 | 12 hrs 33 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:51|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|