RESEARCH: CANNABINOID
FOLDING PROJECT #12708 PROFILE

PROJECT TEAM

Manager(s): Michael Chen
Institution: University of Illinois Urbana-Champaign

WORK UNIT INFO

Atoms: 148,566
Core: 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

Note: Glossary items are a high level summary and may not be 100% accurate.

Cannabinoid

A class of chemical compounds that interact with cannabinoid receptors in the body.

Scientific: Biotechnology
Pharmacology / Neuropharmacology

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.

Scientific: Biotechnology
Pharmacology / Molecular Pharmacology

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.

Medical: Pharmaceuticals
Pathology / Neurological Disorders

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.

Medical: Pharmaceuticals
Pathology / Neuropathic Pain

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.

Medical: Pharmaceuticals
Endocrinology / Gastrointestinal System

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.

Scientific: Biotechnology
Neuroscience / Cognitive Science

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
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