RESEARCH: CANCER
FOLDING PROJECT #13010 PROFILE
PROJECT TEAM
Manager(s): Lin ZhuInstitution: the University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 60,000Core: 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
Fluorescent Protein
A protein that emits light when exposed to a specific wavelength of light.
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.
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.
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.
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.
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.
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 |
|---|