RESEARCH: CANCER
FOLDING PROJECT #13002 PROFILE

PROJECT TEAM

Manager(s): Lin Zhu
Institution: the University of Illinois Urbana-Champaign

WORK UNIT INFO

Atoms: 60,000
Core: 0x23
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how special proteins called fluorescent proteins can be used to find rare earth elements in our bodies. These elements are important for health, and finding them early could help diagnose diseases like cancer. The project will try to make even stronger fluorescent proteins that grab onto specific rare earth elements better than before. They'll do this by testing 100 different versions of a yellow protein, changing one part at a time to see what works best.

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

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

Fluorescent protein

A protein that emits light when exposed to a specific wavelength of light.

Scientific: Biopharmaceuticals
Biotechnology / Protein Engineering

Fluorescent proteins are naturally occurring or genetically engineered proteins that absorb light at one wavelength and emit it at a longer wavelength. This property makes them valuable tools in biological research for visualizing cells, tracking molecules, and studying protein interactions.


Rare earth elements

A group of 17 metallic elements with similar chemical properties. They are used in various applications, including electronics and medicine.

Scientific: Mining & Metallurgy
Materials Science / Chemical Elements

Rare earth elements are a set of 17 chemical elements known for their unique magnetic, luminescent, and catalytic properties. They are widely used in technologies like smartphones, lasers, and medical imaging due to their versatility.


Supercharged

Modified to have increased activity or efficiency.

Technical: Biopharmaceuticals
Biotechnology / Protein Engineering

In biotechnology, 'supercharged' often refers to proteins that have been genetically engineered to enhance their function. This can involve altering the protein's structure or adding specific domains to improve its binding affinity, stability, or catalytic activity.


Single-point mutant

A protein with a single amino acid substitution.

Scientific: Biopharmaceuticals
Biotechnology / Protein Engineering

In protein engineering, a 'single-point mutant' refers to a protein where only one amino acid has been changed. This is often used to study the function of specific amino acids and how changes in their sequence can affect protein properties.


Yellow fluorescent protein

A type of fluorescent protein that emits yellow light.

Scientific: Biopharmaceuticals
Biotechnology / Protein Engineering

Yellow fluorescent protein (YFP) is a widely used fluorescent marker in biological research. It belongs to the class of green fluorescent proteins (GFPs) and emits yellow-green fluorescence when exposed to blue light. YFP is valuable for visualizing cellular processes, tracking protein interactions, and studying gene expression.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:49
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 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 3,501,369 354,905 9.87 2 hrs 26 mins
2 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,441,918 316,135 7.72 3 hrs 6 mins
3 GeForce RTX 2060 12GB
TU106 [GeForce RTX 2060 12GB]
Nvidia TU106 2,433,378 314,999 7.73 3 hrs 6 mins
4 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,106,846 300,609 7.01 3 hrs 25 mins
5 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 1,937,875 293,039 6.61 3 hrs 38 mins
6 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,920,375 276,379 6.95 3 hrs 27 mins
7 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,912,347 281,219 6.80 3 hrs 32 mins
8 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,893,025 281,022 6.74 3 hrs 34 mins
9 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,773,224 286,273 6.19 3 hrs 52 mins
10 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 1,736,080 282,020 6.16 3 hrs 54 mins
11 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,561,221 76,132 20.51 1 hrs 10 mins
12 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,284,175 266,656 4.82 4 hrs 59 mins
13 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,263,239 107,183 11.79 2 hrs 2 mins
14 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,167,058 248,290 4.70 5 hrs 6 mins
15 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 948,439 239,050 3.97 6 hrs 3 mins
16 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 807,921 216,216 3.74 6 hrs 25 mins
17 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 774,733 215,388 3.60 6 hrs 40 mins
18 Quadro P3200 Mobile
GP104GLM [Quadro P3200 Mobile]
Nvidia GP104GLM 656,321 204,402 3.21 7 hrs 28 mins
19 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 633,557 221,748 2.86 8 hrs 24 mins
20 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 201,308 155,341 1.30 18 hrs 31 mins
21 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 162,694 128,323 1.27 18 hrs 56 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:49
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make