RESEARCH: CANCER
FOLDING PROJECT #13007 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 60,000
Core: 0x24
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project wants to design new fluorescent proteins that glow brighter when they bind to rare earth elements. These elements are important for our bodies, and finding them early could help diagnose diseases like cancer. This could lead to better treatments!

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 290 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

Proteins that emit light when exposed to a specific wavelength of light.

Scientific: Pharmaceuticals
Biotechnology / Molecular biology

Fluorescent proteins are biological molecules that absorb light at one wavelength and re-emit it at a longer wavelength, making them useful for visualizing biological processes. They are widely used in research to track cells, proteins, and other molecules.


Rare earth elements

A group of 17 metallic elements with similar chemical properties.

Technical: Pharmaceuticals
Materials Science / Chemistry

Rare earth elements are a group of metals found in the periodic table. They are used in various applications, including electronics, magnets, and catalysts. In biotechnology, they are being explored for their potential use in sensors and medical imaging.


Supercharged fluorescent protein

A genetically engineered fluorescent protein with enhanced brightness or stability.

Scientific: Pharmaceuticals
Biotechnology / Genetic Engineering

Supercharged fluorescent proteins are modified versions of existing fluorescent proteins that have been designed to be brighter, more stable, or exhibit other desirable properties. These proteins are valuable tools for research and biomedical applications.


Single-point mutant

A protein or DNA molecule with a single nucleotide change.

Scientific: Pharmaceuticals
Biotechnology / Molecular Biology

A single-point mutant is a biomolecule that has undergone a modification at a specific location. This change, often involving a single nucleotide substitution, can alter the protein's structure, function, or stability.


Yellow fluorescent protein

A type of fluorescent protein that emits yellow light.

Scientific: Pharmaceuticals
Biotechnology / Molecular Biology

Yellow fluorescent proteins (YFPs) are a class of fluorescent proteins that emit light in the yellow spectrum. They are widely used in research as markers for visualizing cells, proteins, and other molecules.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:46
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 4,506,545 182,894 24.64 0 hrs 58 mins
2 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 3,572,023 84,870 42.09 0 hrs 34 mins
3 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,380,433 377,955 8.94 2 hrs 41 mins
4 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,709,945 277,099 9.78 2 hrs 27 mins
5 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,645,715 160,738 16.46 1 hrs 27 mins
6 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,225,318 160,463 13.87 1 hrs 44 mins
7 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,225,032 329,522 6.75 3 hrs 33 mins
8 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,834,220 325,776 5.63 4 hrs 16 mins
9 Radeon VII
Vega 20 [Radeon VII]
AMD Vega 20 1,723,933 84,870 20.31 1 hrs 11 mins
10 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,662,647 307,087 5.41 4 hrs 26 mins
11 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,451,673 275,545 5.27 4 hrs 33 mins
12 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,388,542 292,577 4.75 5 hrs 3 mins
13 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,247,264 272,326 4.58 5 hrs 14 mins
14 Radeon RX 7700S/7600S
Navi 33 [Radeon RX 7700S/7600S]
AMD Navi 33 1,215,338 84,870 14.32 1 hrs 41 mins
15 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 1,202,272 84,870 14.17 1 hrs 42 mins
16 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,171,355 84,870 13.80 1 hrs 44 mins
17 P104-100
GP104 [P104-100]
Nvidia GP104 1,155,957 84,870 13.62 1 hrs 46 mins
18 GeForce RTX 3050 6GB
GA107 [GeForce RTX 3050 6GB]
Nvidia GA107 1,126,135 84,870 13.27 1 hrs 49 mins
19 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 1,086,971 268,915 4.04 5 hrs 56 mins
20 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,059,223 131,573 8.05 2 hrs 59 mins
21 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 1,035,782 84,870 12.20 1 hrs 58 mins
22 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 896,184 95,271 9.41 2 hrs 33 mins
23 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 765,202 84,870 9.02 2 hrs 40 mins
24 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 746,775 84,870 8.80 2 hrs 44 mins
25 P106-100
GP106 [P106-100]
Nvidia GP106 711,532 225,482 3.16 7 hrs 36 mins
26 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 590,718 84,870 6.96 3 hrs 27 mins
27 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 586,389 84,870 6.91 3 hrs 28 mins
28 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 461,149 217,051 2.12 11 hrs 18 mins
29 R9 Fury X/NANO
Fiji XT [R9 Fury X/NANO]
AMD Fiji XT 406,238 84,870 4.79 5 hrs 1 mins
30 GeForce GT 730
GK208B [GeForce GT 730] 692.7
Nvidia GK208B 192,153 84,870 2.26 10 hrs 36 mins
31 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 189,492 107,603 1.76 13 hrs 38 mins
32 GeForce GTX 1050 Ti Mobile
GP107M [GeForce GTX 1050 Ti Mobile]
Nvidia GP107M 158,996 148,280 1.07 22 hrs 23 mins
33 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 144,309 99,515 1.45 16 hrs 33 mins
34 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 125,074 126,399 0.99 24 hrs 15 mins
35 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 121,473 131,131 0.93 25 hrs 54 mins
36 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 103,326 105,950 0.98 24 hrs 37 mins
37 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 85,627 84,870 1.01 23 hrs 47 mins
38 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 84,476 110,553 0.76 31 hrs 25 mins
39 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 53,038 84,870 0.62 38 hrs 24 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:46
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make