RESEARCH: CANCER
FOLDING PROJECT #12015 PROFILE
PROJECT TEAM
Manager(s): Prateek BansalInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 218,675Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to Class A GPCRs, which are important targets for many medicines. These proteins act like cellular communication systems, sending signals within the body. Understanding how they work can help create new drugs to treat diseases like cancer, diabetes, depression, and anxiety.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Class A GPCRs: Class A GPCRs are pivotal drug targets in our body, as they are involved in regulating almost all homeostatic processes in the human body.
It is estimated that around 35% of all drugs currently approved by the FDA target one of these GPCRs.
These proteins act like 'molecular telephones' and transmit signals from outside the cell to inside the cell.
Here, we aim to study the process that underlies their action on our body.
This is integral for providing insights into the protein's function and design better and new drugs targeting cancer, diabetes, depression and anxiety.
RELATED TERMS GLOSSARY AI BETA
GPCR
G Protein-Coupled Receptor
GPCRs are a large family of proteins found on the surface of cells that bind to signaling molecules. They play a crucial role in transmitting signals within the body and are involved in a wide range of physiological processes.
FDA
Food and Drug Administration
The FDA is a government agency responsible for ensuring the safety and efficacy of drugs and other medical products in the United States.
Cancer
A disease characterized by uncontrolled cell growth and spread.
Cancer is a group of diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body. It arises from genetic mutations that disrupt normal cell division and death.
Diabetes
A metabolic disorder characterized by high blood sugar levels.
Diabetes occurs when the body either doesn't produce enough insulin or can't effectively use the insulin it produces. Insulin is a hormone that regulates blood sugar levels. This leads to elevated glucose levels in the bloodstream, potentially damaging organs and tissues.
Depression
A mood disorder characterized by persistent feelings of sadness, hopelessness, and loss of interest.
Depression is a common mental health disorder affecting millions worldwide. It involves prolonged periods of low mood, loss of energy, difficulty concentrating, and changes in sleep and appetite. Treatment often involves therapy, medication, or a combination of both.
Anxiety
A feeling of unease, worry, or fear.
Anxiety is a normal human emotion but can become problematic when it's excessive and persistent. It often involves physical symptoms like rapid heartbeat, sweating, and difficulty breathing. There are various types of anxiety disorders, such as generalized anxiety disorder and social anxiety disorder.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:57|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 19,809,094 | 446,214 | 44.39 | 0 hrs 32 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 14,549,816 | 411,512 | 35.36 | 0 hrs 41 mins |
| 3 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 11,336,148 | 383,990 | 29.52 | 0 hrs 49 mins |
| 4 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 10,451,257 | 373,190 | 28.01 | 0 hrs 51 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,917,849 | 366,258 | 27.08 | 0 hrs 53 mins |
| 6 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 8,044,963 | 343,936 | 23.39 | 1 hrs 2 mins |
| 7 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,771,897 | 339,249 | 22.91 | 1 hrs 3 mins |
| 8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,514,030 | 296,591 | 18.59 | 1 hrs 17 mins |
| 9 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,640,240 | 277,416 | 16.73 | 1 hrs 26 mins |
| 10 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,523,068 | 282,137 | 16.03 | 1 hrs 30 mins |
| 11 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,189,711 | 275,316 | 15.22 | 1 hrs 35 mins |
| 12 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,504,425 | 259,219 | 13.52 | 1 hrs 47 mins |
| 13 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,264,114 | 253,907 | 12.86 | 1 hrs 52 mins |
| 14 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,173,024 | 251,202 | 12.63 | 1 hrs 54 mins |
| 15 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,517,010 | 197,586 | 7.68 | 3 hrs 8 mins |
| 16 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,436,480 | 194,252 | 7.39 | 3 hrs 15 mins |
| 17 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,419,518 | 193,296 | 7.34 | 3 hrs 16 mins |
| 18 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,262,509 | 187,697 | 6.73 | 3 hrs 34 mins |
| 19 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 750,673 | 58,500 | 12.83 | 1 hrs 52 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:57|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|