RESEARCH: CANCER
FOLDING PROJECT #13006 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 aims to design new fluorescent proteins that can better detect rare earth elements. These elements are important for our bodies, and finding them early could help diagnose diseases like cancer. The project will test hundreds of different protein variations to see which ones grab onto rare earth elements the strongest.

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 specific wavelengths of light.

Scientific: Biomedical Research
Biotechnology / Molecular Biology

Fluorescent proteins are biological molecules that glow when illuminated with certain light colors. They are widely used in research to track cells, visualize processes within living organisms, and study protein interactions.


Rare Earth Elements

A group of 17 metallic elements with similar chemical properties.

Scientific: Technology
Materials Science / Chemistry

Rare earth elements are a set of metals found in the Earth's crust. They are highly valuable due to their unique magnetic, luminescent, and catalytic properties, making them essential for various technologies like electronics, magnets, and medical imaging.


Supercharged

Modified to have enhanced properties or function.

Technical: Pharmaceutical Research
Biotechnology / Protein Engineering

In biotechnology, 'supercharging' refers to modifying a protein to increase its activity, stability, or other desirable characteristics. This can be achieved through genetic engineering techniques.


Single-Point Mutant

A protein variant with a single amino acid change.

Scientific: Drug Discovery
Biotechnology / Molecular Biology

Single-point mutants are proteins that have had one specific amino acid replaced by another. Scientists use these variants to study the function of individual amino acids and how changes in protein structure affect its activity.


Yellow Fluorescent Protein

A type of fluorescent protein that emits yellow light.

Scientific: Medical Research
Biotechnology / Molecular Biology

Yellow fluorescent proteins (YFPs) are widely used in research as genetic markers to track cells and visualize biological processes. They are particularly valuable for studying protein interactions and cellular signaling pathways.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:47
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 4,140,709 219,069 18.90 1 hrs 16 mins
2 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 4,033,177 422,972 9.54 2 hrs 31 mins
3 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 3,820,652 398,858 9.58 2 hrs 30 mins
4 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,145,735 182,612 17.23 1 hrs 24 mins
5 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,612,041 327,806 7.97 3 hrs 1 mins
6 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,396,353 86,179 27.81 0 hrs 52 mins
7 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,233,707 333,981 6.69 3 hrs 35 mins
8 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 2,186,284 331,417 6.60 3 hrs 38 mins
9 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,844,451 311,061 5.93 4 hrs 3 mins
10 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,780,115 86,179 20.66 1 hrs 10 mins
11 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,737,469 316,167 5.50 4 hrs 22 mins
12 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,698,455 291,871 5.82 4 hrs 7 mins
13 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,627,646 205,359 7.93 3 hrs 2 mins
14 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,486,732 86,179 17.25 1 hrs 23 mins
15 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 1,414,073 288,174 4.91 4 hrs 53 mins
16 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,324,297 113,511 11.67 2 hrs 3 mins
17 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,303,805 281,484 4.63 5 hrs 11 mins
18 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,257,740 273,821 4.59 5 hrs 14 mins
19 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,250,734 86,179 14.51 1 hrs 39 mins
20 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 1,240,331 129,988 9.54 2 hrs 31 mins
21 Radeon RX 7700S/7600S
Navi 33 [Radeon RX 7700S/7600S]
AMD Navi 33 1,221,315 86,179 14.17 1 hrs 42 mins
22 GeForce GTX Titan X
GM200 [GeForce GTX Titan X] 6144
Nvidia GM200 1,189,410 283,285 4.20 5 hrs 43 mins
23 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 1,183,581 86,179 13.73 1 hrs 45 mins
24 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,182,959 86,179 13.73 1 hrs 45 mins
25 GeForce RTX 3050 6GB
GA107 [GeForce RTX 3050 6GB]
Nvidia GA107 1,134,470 86,179 13.16 1 hrs 49 mins
26 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 962,609 86,179 11.17 2 hrs 9 mins
27 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 779,473 86,179 9.04 2 hrs 39 mins
28 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 778,179 254,062 3.06 7 hrs 50 mins
29 P106-100
GP106 [P106-100]
Nvidia GP106 732,217 230,020 3.18 7 hrs 32 mins
30 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 712,451 86,179 8.27 2 hrs 54 mins
31 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 607,669 222,160 2.74 8 hrs 46 mins
32 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 600,485 86,179 6.97 3 hrs 27 mins
33 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 598,025 86,179 6.94 3 hrs 28 mins
34 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 571,208 193,732 2.95 8 hrs 8 mins
35 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 566,344 86,179 6.57 3 hrs 39 mins
36 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 439,151 200,528 2.19 10 hrs 58 mins
37 R9 Fury X/NANO
Fiji XT [R9 Fury X/NANO]
AMD Fiji XT 396,576 86,179 4.60 5 hrs 13 mins
38 R9 290X/390X
Hawaii/Grenada XT [R9 290X/390X]
AMD Hawaii/Grenada XT 291,166 86,179 3.38 7 hrs 6 mins
39 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 210,358 115,423 1.82 13 hrs 10 mins
40 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 203,135 138,804 1.46 16 hrs 24 mins
41 Ryzen 4900HS mobile
Renoir [Ryzen 4900HS mobile]
AMD Renoir 151,170 86,179 1.75 13 hrs 41 mins
42 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 139,550 131,907 1.06 22 hrs 41 mins
43 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 134,554 130,652 1.03 23 hrs 18 mins
44 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 103,512 87,511 1.18 20 hrs 17 mins
45 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 70,809 88,725 0.80 30 hrs 4 mins
46 Radeon 540/540X/550/550X/RX 540X/550/550X
Lexa PRO [Radeon 540/540X/550/550X/RX 540X/550/550X]
AMD Lexa PRO 61,597 91,735 0.67 35 hrs 45 mins
47 Vega Mobile 5000 series APU
Cezanne [Vega Mobile 5000 series APU]
AMD Cezanne 60,619 102,328 0.59 40 hrs 31 mins
48 Ryzen 7000 Series iGPU
Raphael [Ryzen 7000 Series iGPU]
AMD Raphael 58,206 87,571 0.66 36 hrs 6 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:47
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make