RESEARCH: CANCER
FOLDING PROJECT #12014 PROFILE
PROJECT TEAM
Manager(s): Prateek BansalInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 200,370Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to Class A GPCRs, which are important proteins that control many bodily functions and are targeted by 35% of approved drugs. These 'molecular telephones' send signals within our cells, helping us understand how they work and create new treatments for 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 cell surface receptors that play a crucial role in transmitting signals from outside the cell to the inside. They are involved in various physiological processes and are targeted by many drugs.
Drug Targets
Specific molecules or pathways that are intended to be affected by drugs.
Drug targets are the specific biological molecules, such as proteins or enzymes, that drugs aim to interact with and modulate. Identifying and understanding drug targets is essential for developing new therapies.
FDA
Food and Drug Administration
The FDA is a US government 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.
Cancer
A group of diseases characterized by uncontrolled cell growth and spread.
Cancer is a group of diseases where abnormal cells divide uncontrollably and can invade other tissues. It arises from genetic mutations that disrupt normal cell growth and death.
Diabetes
A metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic condition where the body either doesn't produce enough insulin or can't effectively use the insulin it produces. This leads to elevated blood sugar levels, affecting various organs and tissues.
Depression
A mood disorder characterized by persistent feelings of sadness, hopelessness, and loss of interest.
Depression is a common mental health condition marked by prolonged feelings of sadness, emptiness, and loss of interest in activities. It can significantly impact daily life and well-being.
Anxiety
A feeling of worry, nervousness, or unease.
Anxiety is a common human emotion characterized by feelings of worry, fear, and apprehension. It can manifest in various ways, from mild nervousness to debilitating panic attacks.
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 | 19,510,627 | 417,144 | 46.77 | 0 hrs 31 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 13,868,309 | 371,355 | 37.35 | 0 hrs 39 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,706,951 | 334,005 | 29.06 | 0 hrs 50 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,560,370 | 329,841 | 28.98 | 0 hrs 50 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,507,600 | 328,815 | 28.91 | 0 hrs 50 mins |
| 6 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,946,983 | 310,963 | 25.56 | 0 hrs 56 mins |
| 7 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,712,175 | 280,838 | 20.34 | 1 hrs 11 mins |
| 8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,993,322 | 261,478 | 19.10 | 1 hrs 15 mins |
| 9 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 4,925,774 | 265,627 | 18.54 | 1 hrs 18 mins |
| 10 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,752,820 | 220,533 | 12.48 | 1 hrs 55 mins |
| 11 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,110,456 | 201,462 | 10.48 | 2 hrs 17 mins |
| 12 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,360,942 | 173,380 | 7.85 | 3 hrs 3 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 |
|---|