RESEARCH: CANNABINOID
FOLDING PROJECT #12709 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 149,254
Core: 0x27
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project relates to how cannabinoid receptors work in our bodies. These receptors are involved in things like pain, appetite, and learning. Scientists use computer models to study these receptors and see how different drugs affect them. This can help us develop new treatments for addiction and other conditions.

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 the endocannabinoid system.

Scientific: Biotechnology
Pharmacology / Neuropharmacology

Cannabinoids are molecules that bind to specific receptors in the body, primarily found in the brain and nervous system. They play a role in various physiological processes, including pain perception, mood regulation, appetite control, and memory. Cannabinoids can be naturally produced by the body (endocannabinoids) or derived from plants like cannabis (phytocannabinoids). Medical marijuana utilizes cannabinoids to treat conditions like chronic pain, nausea, and anxiety.


Receptors

Proteins on the surface of cells that bind to specific molecules (ligands) and trigger a cellular response.

Scientific: Biotechnology
Pharmacology / Neuropharmacology

Receptors are specialized proteins found on the surfaces of cells. They act like locks, waiting for specific molecules (ligands) to fit into them like keys. When a ligand binds to a receptor, it triggers a series of events inside the cell, ultimately leading to a change in cellular activity. Receptors play crucial roles in many biological processes, including communication between cells, sensory perception, and drug action.


G Protein Coupled Receptors

GPCRs are a large family of membrane receptors that activate intracellular signaling pathways via G proteins.

Scientific: Biotechnology
Pharmacology / Neuropharmacology

G protein-coupled receptors (GPCRs) are a type of receptor found on the surface of cells. When a molecule binds to a GPCR, it triggers a cascade of events inside the cell by activating a protein called a G protein. This activation leads to various cellular responses, such as changes in gene expression, metabolism, and cell behavior. GPCRs are involved in many important physiological processes, including sensory perception, hormone signaling, and immune responses.


Drug Addiction

A chronic, relapsing disorder characterized by compulsive drug seeking and use despite harmful consequences.

Technical: Pharmaceuticals
Medicine / Psychiatry

Drug addiction is a serious mental health condition that involves an intense craving for and compulsive use of drugs despite negative consequences. It affects the brain's reward system, leading to changes in behavior, mood, and cognition. Factors contributing to addiction include genetics, environment, and individual susceptibility.


Pain Perception

The process of sensing and interpreting pain stimuli.

Scientific: Pharmaceuticals
Medicine / Neurology

Pain perception is a complex process involving the detection of noxious stimuli by specialized sensory neurons (nociceptors), transmission of pain signals to the spinal cord and brain, and the interpretation of these signals as painful sensations. This involves both physical and emotional components, influenced by factors like genetics, past experiences, and cultural beliefs.


Appetite Regulation

The complex physiological processes that control food intake and energy expenditure.

Scientific: Pharmaceuticals
Medicine / Endocrinology

Appetite regulation involves a intricate interplay of hormones, neurotransmitters, and behavioral factors that influence our desire to eat and how much we consume. This system helps maintain energy balance and ensure adequate nutrient intake for survival. Disruptions in appetite regulation can lead to conditions like obesity or anorexia nervosa.


Learning

The process of acquiring new knowledge or skills through experience and instruction.

Scientific: Pharmaceuticals
Medicine / Neuroscience

Learning is a fundamental process that allows us to adapt to our environment and acquire knowledge. It involves changes in the structure and function of the brain, influenced by experiences and interactions with the world. Different types of learning include classical conditioning, operant conditioning, and observational learning.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:58
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 39,825,846 106,500 373.95 0 hrs 4 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 27,056,055 619,431 43.68 0 hrs 33 mins
3 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 17,284,999 232,879 74.22 0 hrs 19 mins
4 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 16,095,832 199,674 80.61 0 hrs 18 mins
5 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 15,992,663 106,500 150.17 0 hrs 10 mins
6 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 15,957,696 589,978 27.05 0 hrs 53 mins
7 GeForce RTX 5090 Max-Q / Mobile
GB203M / GN22 [GeForce RTX 5090 Max-Q / Mobile]
Nvidia GB203M / GN22 15,574,316 106,500 146.24 0 hrs 10 mins
8 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 11,885,538 582,430 20.41 1 hrs 11 mins
9 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 11,491,340 200,447 57.33 0 hrs 25 mins
10 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 11,095,404 570,181 19.46 1 hrs 14 mins
11 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 10,794,203 563,697 19.15 1 hrs 15 mins
12 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 10,353,842 106,500 97.22 0 hrs 15 mins
13 GeForce RTX 4090 Laptop GPU
AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU]
Nvidia AD103M / GN21-X11 8,925,782 106,500 83.81 0 hrs 17 mins
14 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 7,820,288 339,431 23.04 1 hrs 3 mins
15 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,694,765 106,500 62.86 0 hrs 23 mins
16 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 6,391,127 106,500 60.01 0 hrs 24 mins
17 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 6,261,810 106,500 58.80 0 hrs 24 mins
18 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,974,874 106,500 56.10 0 hrs 26 mins
19 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,591,268 445,278 12.56 1 hrs 55 mins
20 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,472,006 453,953 12.05 1 hrs 59 mins
21 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,155,883 185,781 27.75 0 hrs 52 mins
22 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,998,170 258,657 19.32 1 hrs 15 mins
23 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 4,118,143 411,528 10.01 2 hrs 24 mins
24 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,889,693 148,122 26.26 0 hrs 55 mins
25 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 3,721,955 106,500 34.95 0 hrs 41 mins
26 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,294,285 106,500 30.93 0 hrs 47 mins
27 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 Super]
Nvidia TU106 3,223,617 106,500 30.27 0 hrs 48 mins
28 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 3,132,508 373,232 8.39 2 hrs 52 mins
29 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,993,569 106,500 28.11 0 hrs 51 mins
30 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,770,130 106,500 26.01 0 hrs 55 mins
31 Radeon RX 9060(XT)
Navi 44 [Radeon RX 9060(XT)]
AMD Navi 44 2,737,835 355,962 7.69 3 hrs 7 mins
32 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,617,693 106,500 24.58 0 hrs 59 mins
33 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,499,846 218,595 11.44 2 hrs 6 mins
34 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,476,343 187,147 13.23 1 hrs 49 mins
35 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,370,748 345,750 6.86 3 hrs 30 mins
36 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,654,089 304,222 5.44 4 hrs 25 mins
37 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,646,911 106,500 15.46 1 hrs 33 mins
38 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 1,500,008 106,500 14.08 1 hrs 42 mins
39 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,462,682 106,500 13.73 1 hrs 45 mins
40 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 1,236,000 106,500 11.61 2 hrs 4 mins
41 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,199,478 272,669 4.40 5 hrs 27 mins
42 P104-100
GP104 [P104-100]
Nvidia GP104 1,117,519 106,500 10.49 2 hrs 17 mins
43 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 719,632 250,887 2.87 8 hrs 22 mins
44 R9 Fury X/NANO
Fiji XT [R9 Fury X/NANO]
AMD Fiji XT 592,234 106,500 5.56 4 hrs 19 mins
45 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 472,009 199,468 2.37 10 hrs 9 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:58
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make