RESEARCH: CANCER
FOLDING PROJECT #13010 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 designs super-powered fluorescent proteins that grab rare earth elements. These elements are important for our bodies, and finding them can help diagnose diseases like cancer early. The goal is to create a protein that's better at capturing specific rare earth elements than existing ones. The project involves testing 100 different versions of these proteins.

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 the 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 double 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: Biotech
Biotechnology / Molecular Biology

Fluorescent proteins are biological molecules that glow when stimulated by light. They are widely used in research to track cells, visualize proteins, and study biological processes.


Rare Earth Elements

A group of 17 metallic elements with similar chemical properties.

Scientific: Materials Science
Chemistry / Materials Science

Rare earth elements are a set of metals that have unique magnetic, luminescent, and catalytic properties. They are used in various applications, including electronics, lasers, and medical imaging.


Supercharged Fluorescent Protein

A genetically modified fluorescent protein with enhanced brightness or stability.

Scientific: Biotech
Biotechnology / Protein Engineering

Supercharged fluorescent proteins are engineered versions of natural fluorescent proteins that have been modified to produce brighter light or be more resistant to degradation. They are valuable tools for researchers studying cells and biological processes.


Double Mutant

A protein or DNA molecule containing two specific mutations.

Scientific: Biotech
Biotechnology / Molecular Biology

Double mutants are created by introducing two changes in a protein or DNA sequence. These changes can alter the function or properties of the molecule and are used to study gene function and protein structure.


Binding Mechanism

The way in which a molecule binds to another.

Scientific: Pharmaceutical
Biochemistry / Protein-Ligand Interactions

Binding mechanisms describe how molecules interact with each other. This involves the specific arrangements of atoms and chemical forces that hold them together. Understanding binding mechanisms is crucial for drug development and other applications.


Therapeutic Agent

A substance used to treat or prevent disease.

Scientific: Pharmaceutical
Pharmaceutical / Drug Discovery

Therapeutic agents are medications designed to treat or prevent diseases. They work by targeting specific biological pathways or processes in the body.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:45
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 25,890,541 88,691 291.92 0 hrs 5 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 9,862,343 556,077 17.74 1 hrs 21 mins
3 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 9,072,486 539,600 16.81 1 hrs 26 mins
4 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,863,415 493,024 13.92 1 hrs 43 mins
5 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 6,472,740 88,691 72.98 0 hrs 20 mins
6 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,189,813 88,691 58.52 0 hrs 25 mins
7 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,721,313 440,497 10.72 2 hrs 14 mins
8 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 3,708,068 213,467 17.37 1 hrs 23 mins
9 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 3,548,648 88,691 40.01 0 hrs 36 mins
10 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,417,867 337,677 10.12 2 hrs 22 mins
11 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,410,020 88,691 38.45 0 hrs 37 mins
12 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,218,226 384,244 8.38 2 hrs 52 mins
13 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,188,728 88,691 35.95 0 hrs 40 mins
14 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,964,045 371,316 7.98 3 hrs 0 mins
15 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,377,395 88,691 26.81 0 hrs 54 mins
16 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,584,549 302,031 5.25 4 hrs 34 mins
17 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,372,916 88,691 15.48 1 hrs 33 mins
18 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,234,468 286,083 4.32 5 hrs 34 mins
19 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 1,102,855 88,691 12.43 1 hrs 56 mins
20 RTX A1000
GA107GL [RTX A1000]
Nvidia GA107GL 1,078,999 88,691 12.17 1 hrs 58 mins
21 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 181,173 144,712 1.25 19 hrs 10 mins
22 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 114,806 88,691 1.29 18 hrs 32 mins
23 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 88,473 88,691 1.00 24 hrs 4 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:45
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make