RESEARCH: CANCER
FOLDING PROJECT #12018 PROFILE
PROJECT TEAM
Manager(s): Prateek BansalInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 353,314Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Class A GPCRs are important proteins that control many body functions. They act like cellular 'telephones,' sending signals within the body. This project explores how they work to develop new drugs for diseases like cancer, diabetes, and mental health.
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
GPCRs
G protein-coupled receptors
GPCRs are a large family of cell surface receptors that play a crucial role in transmitting signals from the outside to the inside of cells. They are involved in a wide range of physiological processes and are important targets for many drugs.
FDA
Food and Drug Administration
The FDA is a federal agency responsible for protecting public health by ensuring the safety, efficacy, and security of human and veterinary drugs, biological products, medical devices, our nation's food supply, cosmetics, and products that emit radiation.
Drug Targets
Molecules or biological pathways that are specifically targeted by drugs to produce a therapeutic effect.
Drug targets are essential components of drug development. Identifying and understanding these targets allows researchers to design medications that effectively interact with specific proteins or cellular processes involved in disease.
Cancer
A group of diseases involving abnormal cell growth with the potential to invade or spread to other parts of the body.
Cancer is a complex group of diseases characterized by uncontrolled cell growth and division. These abnormal cells can form tumors that can damage surrounding tissues and organs.
Diabetes
A metabolic disorder characterized by high blood sugar levels due to problems with insulin production or function.
Diabetes is a chronic disease that affects how the body regulates blood sugar. There are two main types: type 1, where the immune system attacks insulin-producing cells, and type 2, where the body becomes resistant to insulin.
Depression
A mood disorder characterized by persistent feelings of sadness, hopelessness, and loss of interest in activities.
Depression is a common mental health condition that can significantly affect a person's thoughts, feelings, and behaviors. Symptoms include persistent sadness, fatigue, changes in appetite and sleep, difficulty concentrating, and feelings of worthlessness.
Anxiety
A feeling of worry, nervousness, or unease, typically about an imminent event or something with an uncertain outcome.
Anxiety is a natural human emotion that can be helpful in certain situations. However, when it becomes excessive or persistent, it can develop into an anxiety disorder, which can significantly impact daily life.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:55|
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 | 25,140,863 | 845,298 | 29.74 | 0 hrs 48 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 17,298,052 | 758,573 | 22.80 | 1 hrs 3 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,553,749 | 663,040 | 17.43 | 1 hrs 23 mins |
| 4 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 10,614,680 | 640,784 | 16.57 | 1 hrs 27 mins |
| 5 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,653,769 | 624,176 | 15.47 | 1 hrs 33 mins |
| 6 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 8,630,796 | 598,674 | 14.42 | 1 hrs 40 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,525,464 | 516,760 | 10.69 | 2 hrs 15 mins |
| 8 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,930,976 | 496,334 | 9.93 | 2 hrs 25 mins |
| 9 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,926,271 | 498,294 | 9.89 | 2 hrs 26 mins |
| 10 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,331,739 | 429,200 | 7.76 | 3 hrs 6 mins |
| 11 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,080,746 | 372,264 | 5.59 | 4 hrs 18 mins |
| 12 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 1,972,840 | 374,796 | 5.26 | 4 hrs 34 mins |
| 13 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,467,651 | 330,054 | 4.45 | 5 hrs 24 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:55|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|