Folding project #12708, CANNABINOID research

Research section Research projects and references

Project #12708 overview

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.

Automated summary; simplified and may not be fully accurate.

Project team

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

Work unit

Atoms: 148,566
Core: 0x27
Status: Public

Source material

Official 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.

Reading reference

Related Terms Glossary AI Beta

Automated high-level definitions; simplified and may not be fully accurate.

Cannabinoid

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

Scientific: BiotechnologyPharmacology / 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: BiotechnologyPharmacology / 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: PharmaceuticalsPathology / 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: PharmaceuticalsPathology / 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: PharmaceuticalsEndocrinology / 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: BiotechnologyNeuroscience / 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.

GPU PPD Averages

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

Research: CANNABINOID Folding Project #12708

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 12708

GPU PPD Averages

Research: CANNABINOID Folding Project #12708

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages