RESEARCH: CANCER
FOLDING PROJECT #12005 PROFILE
PROJECT TEAM
Manager(s): Prateek BansalInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 109,489Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how Class A GPCRs work in our bodies. These proteins act like messengers, sending signals that control many important processes. Understanding them better could lead to new drugs for diseases like cancer, diabetes, and depression.
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
G protein-coupled receptors (GPCRs) are a large family of cell surface receptors that play crucial roles in transmitting signals from outside the cell to inside. They are involved in various physiological processes, making them important drug targets for treating diseases like cancer, diabetes, and depression.
Drug Targets
Molecules or biological pathways that are the focus of drug action.
Drug targets are specific molecules or processes within the body that medications aim to interact with. Identifying and understanding these targets is essential for developing effective drugs. Examples include proteins like GPCRs that play roles in cell signaling.
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
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 spread to other parts of the body.
Diabetes
A metabolic disorder affecting blood sugar regulation.
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 high blood sugar levels and can cause various complications.
Depression
A mood disorder characterized by persistent sadness and loss of interest.
Depression is a common mental health disorder that involves persistent feelings of sadness, hopelessness, and loss of interest in activities. It can affect thoughts, behavior, sleep, appetite, and energy levels.
Anxiety
Excessive worry and fear.
Anxiety is a feeling of unease, nervousness, or apprehension. It can be mild or severe, and it often involves physical symptoms like rapid heartbeat, sweating, and shortness of breath.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:36:02|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,409,640 | 125,136 | 27.25 | 0 hrs 53 mins |
| 2 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 3,108,820 | 121,794 | 25.53 | 0 hrs 56 mins |
| 3 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,660,055 | 115,391 | 23.05 | 1 hrs 2 mins |
| 4 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,539,242 | 112,913 | 22.49 | 1 hrs 4 mins |
| 5 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 2,505,116 | 112,463 | 22.28 | 1 hrs 5 mins |
| 6 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,434,269 | 99,178 | 24.54 | 0 hrs 59 mins |
| 7 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,417,791 | 111,282 | 21.73 | 1 hrs 6 mins |
| 8 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,138,161 | 107,071 | 19.97 | 1 hrs 12 mins |
| 9 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,098,210 | 105,788 | 19.83 | 1 hrs 13 mins |
| 10 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,437,805 | 92,271 | 15.58 | 1 hrs 32 mins |
| 11 | P102-100 GP102 [P102-100] |
Nvidia | GP102 | 1,419,812 | 84,486 | 16.81 | 1 hrs 26 mins |
| 12 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,345,597 | 92,072 | 14.61 | 1 hrs 39 mins |
| 13 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,322,028 | 87,056 | 15.19 | 1 hrs 35 mins |
| 14 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,303,433 | 90,898 | 14.34 | 1 hrs 40 mins |
| 15 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,216,458 | 89,386 | 13.61 | 1 hrs 46 mins |
| 16 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,142,871 | 85,586 | 13.35 | 1 hrs 48 mins |
| 17 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 1,084,688 | 84,685 | 12.81 | 1 hrs 52 mins |
| 18 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,060,906 | 85,225 | 12.45 | 1 hrs 56 mins |
| 19 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 978,352 | 79,469 | 12.31 | 1 hrs 57 mins |
|
|
|||||||
| 20 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 747,173 | 75,731 | 9.87 | 2 hrs 26 mins |
| 21 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 616,589 | 70,756 | 8.71 | 2 hrs 45 mins |
| 22 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 231,555 | 34,707 | 6.67 | 3 hrs 36 mins |
| 23 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 127,894 | 41,754 | 3.06 | 7 hrs 50 mins |
| 24 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 116,566 | 40,820 | 2.86 | 8 hrs 24 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:36:02|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|