RESEARCH: CANNABINOID
FOLDING PROJECT #12708 PROFILE
PROJECT TEAM
Manager(s): Michael ChenInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 148,566Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to understanding how cannabinoid receptors work in the brain. These receptors are involved in things like pain, appetite, and learning. By testing different molecules on these receptors, scientists can learn more about how they function and how drugs might affect them.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Cannabinoid G Protein Coupled Receptors Improper signaling through Cannabinoid receptors is linked to drug addiction, pain perception, appetite regulation and learning.
Simulation of these proteins with different small molecules helps us to understand their function and the selectivity/efficacy of these potential drugs to the nervous system.
RELATED TERMS GLOSSARY AI BETA
Cannabinoid
A class of chemical compounds that interact with cannabinoid receptors in the body.
Cannabinoids are naturally occurring or synthetic substances that bind to specific receptors in the brain and body. They influence various physiological processes, including pain perception, mood, appetite, and memory. Cannabinoids have therapeutic potential for managing conditions like chronic pain, nausea, and anxiety. However, they can also be addictive and have adverse effects.
G Protein Coupled Receptors
GPCRs are a large family of cell surface receptors that play crucial roles in signal transduction.
G Protein Coupled Receptors (GPCRs) are proteins found on the surface of cells. They act like cellular antennas, receiving signals from outside the cell and triggering internal responses. These signals can influence various functions, including hormone release, muscle contraction, and nerve impulse transmission. GPCRs are involved in numerous physiological processes and are targets for many drugs.
Drug Addiction
A chronic, relapsing disorder characterized by compulsive drug seeking and use despite harmful consequences.
Drug addiction is a serious medical condition where individuals develop a strong craving for and dependence on drugs. It involves changes in the brain's reward system, leading to compulsive drug-seeking behavior and impaired control over use. Addiction can have devastating consequences for physical health, mental well-being, relationships, and overall quality of life.
Pain Perception
The process by which the body senses and interprets pain signals.
Pain perception is a complex process involving sensory receptors that detect painful stimuli, nerve pathways that transmit signals to the brain, and brain regions that process and interpret these signals. Factors influencing pain perception include genetics, previous experiences, emotional state, and cultural beliefs.
Appetite Regulation
The control mechanisms that determine food intake and energy expenditure.
Appetite regulation is a complex process involving hormones, neurotransmitters, and other signaling molecules that influence hunger, satiety, and food preferences. Disruptions in appetite regulation can lead to obesity or eating disorders.
Learning
The process of acquiring new knowledge or skills.
Learning is a fundamental cognitive process that allows organisms to acquire and store information. It involves changes in brain structure and function, influenced by experiences and interactions with the environment.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:59|
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 5090 GB202 [GeForce RTX 5090] |
Nvidia | GB202 | 41,273,942 | 107,100 | 385.38 | 0 hrs 4 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 28,057,114 | 632,652 | 44.35 | 0 hrs 32 mins |
| 3 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 17,867,577 | 223,755 | 79.85 | 0 hrs 18 mins |
| 4 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 16,732,479 | 486,317 | 34.41 | 0 hrs 42 mins |
| 5 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 16,436,868 | 270,912 | 60.67 | 0 hrs 24 mins |
| 6 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 16,327,080 | 107,100 | 152.45 | 0 hrs 9 mins |
| 7 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 12,120,895 | 588,456 | 20.60 | 1 hrs 10 mins |
| 8 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 12,101,365 | 590,311 | 20.50 | 1 hrs 10 mins |
| 9 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 12,027,230 | 291,398 | 41.27 | 0 hrs 35 mins |
| 10 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 11,320,974 | 575,651 | 19.67 | 1 hrs 13 mins |
| 11 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 11,051,699 | 107,100 | 103.19 | 0 hrs 14 mins |
| 12 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 9,518,466 | 550,491 | 17.29 | 1 hrs 23 mins |
| 13 | GeForce RTX 4090 Laptop GPU AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU] |
Nvidia | AD103M / GN21-X11 | 8,881,784 | 107,100 | 82.93 | 0 hrs 17 mins |
| 14 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,955,728 | 371,911 | 21.39 | 1 hrs 7 mins |
| 15 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,580,628 | 107,100 | 61.44 | 0 hrs 23 mins |
| 16 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,241,531 | 107,100 | 58.28 | 0 hrs 25 mins |
| 17 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 6,124,527 | 107,100 | 57.19 | 0 hrs 25 mins |
| 18 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,920,175 | 464,963 | 12.73 | 1 hrs 53 mins |
| 19 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,333,425 | 429,258 | 12.42 | 1 hrs 56 mins |
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|||||||
| 20 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,291,586 | 107,100 | 49.41 | 0 hrs 29 mins |
| 21 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,167,548 | 209,038 | 24.72 | 0 hrs 58 mins |
| 22 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 5,147,088 | 286,712 | 17.95 | 1 hrs 20 mins |
| 23 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,401,316 | 107,100 | 41.10 | 0 hrs 35 mins |
| 24 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,493,510 | 111,050 | 31.46 | 0 hrs 46 mins |
| 25 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 3,244,525 | 379,695 | 8.55 | 2 hrs 49 mins |
| 26 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 3,230,055 | 379,983 | 8.50 | 2 hrs 49 mins |
| 27 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,177,268 | 107,100 | 29.67 | 0 hrs 49 mins |
| 28 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,977,055 | 365,482 | 8.15 | 2 hrs 57 mins |
| 29 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,847,316 | 107,100 | 26.59 | 0 hrs 54 mins |
| 30 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,533,080 | 107,100 | 23.65 | 1 hrs 1 mins |
| 31 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,508,223 | 231,468 | 10.84 | 2 hrs 13 mins |
| 32 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,053,817 | 107,100 | 19.18 | 1 hrs 15 mins |
| 33 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,638,992 | 306,038 | 5.36 | 4 hrs 29 mins |
| 34 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,627,877 | 107,100 | 15.20 | 1 hrs 35 mins |
| 35 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,411,267 | 287,521 | 4.91 | 4 hrs 53 mins |
| 36 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,281,669 | 107,100 | 11.97 | 2 hrs 0 mins |
| 37 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,241,713 | 289,402 | 4.29 | 5 hrs 36 mins |
| 38 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,060,896 | 123,182 | 8.61 | 2 hrs 47 mins |
| 39 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 767,695 | 242,590 | 3.16 | 7 hrs 35 mins |
|
|
|||||||
| 40 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 617,211 | 107,100 | 5.76 | 4 hrs 10 mins |
| 41 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 239,788 | 127,492 | 1.88 | 12 hrs 46 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:59|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|