RESEARCH: CANCER
FOLDING PROJECT #13003 PROFILE
PROJECT TEAM
Manager(s): Lin ZhuInstitution: the University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 60,000Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project wants to design a super-powered fluorescent protein that can spot rare earth elements in our bodies. These elements are linked to diseases like cancer, so finding them early could be huge! The project relates to making a new type of fluorescent protein that's better at grabbing specific rare earth elements than existing ones. They're testing 100 different versions to find the best one!
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Super Charged Fluorescent protein design Rare earth elements play vital roles in various biological processes, and their detection using fluorescent proteins could advance biomedical research and diagnostics.
By developing more sensitive and specific sensors for rare earth elements, this project could contribute to early detection of diseases, such as cancer and neurodegenerative disorders, where abnormal levels of certain elements are often observed.
Moreover, the enhanced understanding of binding mechanisms between fluorescent proteins and rare earth elements could lead to the development of novel therapeutic agents or drug delivery systems tailored to target specific cellular pathways or tissues, thereby potentially improving treatment outcomes and patient well-being.This project aims to investigate the binding mechanism of supercharged fluorescent proteins for capturing rare earth elements and then design a new variant of fluorescent protein that exhibits stronger binding affinity for specific rare earth elements than existing fluorescent proteins.
In this project, there are 100 single-point mutant systems of yellow fluorescent protein with a negative charge of 31.
RELATED TERMS GLOSSARY AI BETA
Fluorescent protein
A protein that emits light when exposed to a specific wavelength of light.
Fluorescent proteins are naturally occurring or genetically engineered proteins that absorb light at one wavelength and emit light at a longer wavelength. They are widely used in biological research as markers to track cells, visualize proteins, and study cellular processes.
Rare earth elements
A group of 17 metallic elements with unique magnetic and luminescent properties.
Rare earth elements are a group of metals found in the periodic table. They are known for their strong magnetic and luminescent properties, making them valuable in various technologies like electronics, magnets, and lighting. Their use in biotechnology is growing due to their potential in sensing and diagnostics.
Supercharged fluorescent protein
A type of fluorescent protein with enhanced brightness and stability.
Supercharged fluorescent proteins are engineered versions of traditional fluorescent proteins that exhibit brighter fluorescence and greater resistance to environmental factors. These improved properties make them valuable tools for research and diagnostics, enabling more sensitive detection and visualization of biological processes.
Single-point mutant
A protein with a single amino acid substitution.
Single-point mutants are proteins where a single amino acid has been changed. This modification can alter the protein's structure, function, and properties. They are widely used in research to study gene function, enzyme mechanisms, and protein interactions.
Yellow fluorescent protein
A type of fluorescent protein that emits yellow light.
Yellow fluorescent protein (YFP) is a widely used fluorescent protein derived from jellyfish. It emits yellow light when exposed to blue light and is frequently used as a marker in cellular biology to track proteins and visualize processes within cells.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:48|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,090,211 | 343,095 | 9.01 | 2 hrs 40 mins |
| 2 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,836,874 | 333,226 | 8.51 | 2 hrs 49 mins |
| 3 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,429,854 | 317,434 | 7.65 | 3 hrs 8 mins |
| 4 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,103,982 | 300,371 | 7.00 | 3 hrs 26 mins |
| 5 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,997,619 | 296,343 | 6.74 | 3 hrs 34 mins |
| 6 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 1,813,981 | 290,220 | 6.25 | 3 hrs 50 mins |
| 7 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,777,509 | 284,487 | 6.25 | 3 hrs 50 mins |
| 8 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 1,737,943 | 270,220 | 6.43 | 3 hrs 44 mins |
| 9 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,479,901 | 267,174 | 5.54 | 4 hrs 20 mins |
| 10 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,393,118 | 262,432 | 5.31 | 4 hrs 31 mins |
| 11 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,275,402 | 76,132 | 16.75 | 1 hrs 26 mins |
| 12 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,137,059 | 246,806 | 4.61 | 5 hrs 13 mins |
| 13 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,131,276 | 86,253 | 13.12 | 1 hrs 50 mins |
| 14 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,129,408 | 244,864 | 4.61 | 5 hrs 12 mins |
| 15 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 665,233 | 205,690 | 3.23 | 7 hrs 25 mins |
| 16 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 553,590 | 203,001 | 2.73 | 8 hrs 48 mins |
| 17 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 273,495 | 151,673 | 1.80 | 13 hrs 19 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:48|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|