RESEARCH: CANCER
FOLDING PROJECT #13012 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 looks at how fluorescent proteins bind to rare earth elements. They want to make a new type of fluorescent protein that grabs onto specific rare earth elements even better than existing ones. This could help us detect diseases like cancer earlier and develop new medicines.
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
Proteins that emit light when exposed to specific wavelengths.
Fluorescent proteins are biological molecules that glow when excited by light. They are widely used in research to track cells, visualize processes, and study protein interactions. In medicine, they have applications in diagnostics, imaging, and drug development.
Rare Earth Elements
A group of 17 metallic elements with similar chemical properties.
Rare earth elements are a set of metallic elements found in the Earth's crust. They have unique magnetic, luminescent, and catalytic properties that make them valuable for various applications, including electronics, magnets, catalysts, and medical imaging.
Cancer
A disease caused by the uncontrolled growth and spread of abnormal cells.
Cancer is a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. These cells can invade surrounding tissues and organs, leading to various health problems. Cancer treatment options include surgery, chemotherapy, radiation therapy, and immunotherapy.
Neurodegenerative Disorders
A group of diseases that cause progressive damage to the nervous system.
Neurodegenerative disorders are a group of diseases that affect the brain and nervous system, leading to a gradual decline in cognitive function, movement, and other bodily processes. Examples include Alzheimer's disease, Parkinson's disease, and Huntington's disease.
Therapeutic Agents
Substances used to treat or prevent disease.
Therapeutic agents are medications or other substances that have a beneficial effect on health. They can be used to treat various conditions, such as infections, pain, inflammation, and mental disorders. Drug development involves the discovery, testing, and approval of new therapeutic agents.
Drug Delivery Systems
Methods for delivering medications to specific targets in the body.
Drug delivery systems are technologies used to control the release and targeting of medications within the body. This can improve treatment efficacy, reduce side effects, and enhance patient compliance.
Binding Mechanism
The way molecules interact and attach to each other.
A binding mechanism describes the specific interactions between two or more molecules, such as proteins, DNA, or drugs. Understanding binding mechanisms is crucial for developing new drugs, diagnostics, and therapies.
Supercharged Fluorescent Protein
A modified fluorescent protein with enhanced brightness and stability.
Supercharged fluorescent proteins are engineered versions of naturally occurring fluorescent proteins that exhibit increased fluorescence intensity, stability, and other desirable properties. They are widely used in research for visualization, tracking, and studying biological processes.
Yellow Fluorescent Protein
A type of fluorescent protein that emits yellow light.
Yellow fluorescent proteins (YFPs) are commonly used in research as fluorescent markers to label and track cells, proteins, or other molecules. They are derived from jellyfish and exhibit bright yellow fluorescence when excited by blue light.
Double Mutant Systems
Genetic variants with two specific amino acid changes.
Double mutant systems are laboratory-created proteins where two specific amino acids have been changed. This is a common technique in protein engineering to study the effects of mutations on protein function and structure.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:44|
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 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 10,518,552 | 570,079 | 18.45 | 1 hrs 18 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,653,350 | 89,042 | 97.18 | 0 hrs 15 mins |
| 3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,582,105 | 487,323 | 13.51 | 1 hrs 47 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,681,400 | 89,042 | 63.81 | 0 hrs 23 mins |
| 5 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,233,644 | 89,042 | 58.78 | 0 hrs 24 mins |
| 6 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,060,642 | 449,357 | 11.26 | 2 hrs 8 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,341,025 | 289,301 | 15.01 | 1 hrs 36 mins |
| 8 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,470,074 | 89,042 | 38.97 | 0 hrs 37 mins |
| 9 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,234,824 | 89,042 | 36.33 | 0 hrs 40 mins |
| 10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,210,399 | 385,251 | 8.33 | 2 hrs 53 mins |
| 11 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 3,016,705 | 376,621 | 8.01 | 2 hrs 60 mins |
| 12 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 Super] |
Nvidia | TU106 | 3,008,632 | 89,042 | 33.79 | 0 hrs 43 mins |
| 13 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,724,326 | 89,042 | 30.60 | 0 hrs 47 mins |
| 14 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,081,625 | 255,772 | 8.14 | 2 hrs 57 mins |
| 15 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,600,992 | 305,273 | 5.24 | 4 hrs 35 mins |
| 16 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] |
Nvidia | TU106M | 1,570,715 | 89,042 | 17.64 | 1 hrs 22 mins |
| 17 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,480,162 | 89,042 | 16.62 | 1 hrs 27 mins |
| 18 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,205,239 | 276,548 | 4.36 | 5 hrs 30 mins |
| 19 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,166,883 | 289,619 | 4.03 | 5 hrs 57 mins |
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|||||||
| 20 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 1,134,554 | 89,042 | 12.74 | 1 hrs 53 mins |
| 21 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 797,076 | 238,578 | 3.34 | 7 hrs 11 mins |
| 22 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 432,682 | 89,042 | 4.86 | 4 hrs 56 mins |
| 23 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 103,305 | 89,042 | 1.16 | 20 hrs 41 mins |
| 24 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 90,760 | 89,042 | 1.02 | 23 hrs 33 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:44|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|