Folding project #12702, CANCER research

Research section Research projects and references

Project #12702 overview

Project Summary AI Beta

Class F G Protein Coupled Receptors are important for our bodies to work properly. When they malfunction, it can lead to diseases like gastric cancer and colon cancer. By simulating these receptors, scientists can learn how they work and develop new drugs to treat these diseases.

Automated summary; simplified and may not be fully accurate.

Project team

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

Work unit

Atoms: 102,231
Core: 0x23
Status: Public

Source material

Official Project Description

Class F G Protein Coupled Receptors Improper signaling through Class F GPCRs is linked to Gastric Cancer, Coloboma of Macula and colon cancer.

Simulation of these proteins helps us to understand their function and therefore be able to design drugs specific to these diseases.

Reading reference

Related Terms Glossary AI Beta

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

Class F G Protein Coupled Receptors

A family of cell surface receptors that play a role in signal transduction.

Scientific: BiotechnologyPharmacology / Drug Discovery

Class F G protein-coupled receptors (GPCRs) are a type of protein found on the surface of cells. They act as receptors for various signaling molecules, transmitting information from outside the cell to the inside. These receptors are involved in many important processes, including hormone regulation, immune responses, and sensory perception. Dysfunction of Class F GPCRs has been linked to several diseases, such as gastric cancer, coloboma of the macula (a retinal condition), and colon cancer.

Gastric Cancer

Cancer that originates in the stomach lining.

Pathological: HealthcareMedicine / Oncology

Gastric cancer is a malignant tumor that develops in the cells of the stomach. It can be caused by various factors, including Helicobacter pylori infection, diet high in salt and processed foods, and smoking. Symptoms may include abdominal pain, nausea, vomiting, and weight loss. Gastric cancer is often diagnosed through endoscopy and biopsy.

Coloboma of Macula

A birth defect where a part of the macula (central part of the retina) is missing.

Pathological: HealthcareMedicine / Ophthalmology

Coloboma of the macula is a congenital eye condition characterized by a gap or hole in the macula, the central part of the retina responsible for sharp, detailed vision. This defect can cause visual impairment, including difficulty seeing fine details and color perception. Treatment options may include corrective lenses, surgery, or low vision aids.

Colon Cancer

Cancer that starts in the colon or rectum.

Pathological: HealthcareMedicine / Oncology

Colon cancer is a type of malignant tumor that develops in the large intestine (colon) or rectum. It is often caused by genetic mutations and lifestyle factors such as diet, lack of exercise, and smoking. Symptoms may include changes in bowel habits, rectal bleeding, abdominal pain, and unexplained weight loss. Early detection and treatment are crucial for improving outcomes.

Simulation

The act of creating a model or representation of something to study its behavior.

Technical: BiotechnologyBiotechnology / Drug Discovery

Simulation is the process of using computer models or other techniques to imitate real-world systems. In biotechnology and drug discovery, simulations are used to study the interactions between molecules, predict the effects of drugs, and design new therapies. These simulations can help researchers understand complex biological processes and accelerate the development of new treatments.

Drugs

Substances used to treat, prevent, or diagnose diseases.

Technical: PharmaceuticalPharmacology / Drug Discovery

Drugs are chemical substances that have a specific effect on the body. They can be used to treat a wide range of conditions, from infections to chronic diseases. Drugs are developed and tested through rigorous research and clinical trials to ensure their safety and effectiveness. Pharmaceutical companies play a key role in drug discovery and development.

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 4090 AD102 [GeForce RTX 4090]	Nvidia	AD102	20,777,574	275,455	75.43	0 ^hrs 19 ^mins
2	GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER]	Nvidia	AD103	15,222,676	228,261	66.69	0 ^hrs 22 ^mins
3	GeForce RTX 4080 AD103 [GeForce RTX 4080]	Nvidia	AD103	14,270,201	285,530	49.98	0 ^hrs 29 ^mins
4	GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti]	Nvidia	AD104	12,997,271	394,566	32.94	0 ^hrs 44 ^mins
5	GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER]	Nvidia	AD104	10,042,423	159,826	62.83	0 ^hrs 23 ^mins
6	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	9,959,072	194,606	51.18	0 ^hrs 28 ^mins
7	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	9,176,317	200,846	45.69	0 ^hrs 32 ^mins
8	RTX A6000 GA102GL [RTX A6000]	Nvidia	GA102GL	9,169,121	17,500	523.95	0 ^hrs 3 ^mins
9	GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti]	Nvidia	GA102	8,724,598	17,500	498.55	0 ^hrs 3 ^mins
10	GeForce RTX 4070 AD104 [GeForce RTX 4070]	Nvidia	AD104	8,255,043	96,333	85.69	0 ^hrs 17 ^mins
11	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	7,985,950	189,244	42.20	0 ^hrs 34 ^mins
12	GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB]	Nvidia	GA102	7,505,916	149,619	50.17	0 ^hrs 29 ^mins
13	GeForce RTX 4080 Max-Q / Mobile AD104M [GeForce RTX 4080 Max-Q / Mobile]	Nvidia	AD104M	7,438,476	56,893	130.75	0 ^hrs 11 ^mins
14	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	7,070,685	74,111	95.41	0 ^hrs 15 ^mins
15	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	6,413,566	106,635	60.15	0 ^hrs 24 ^mins
16	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	5,913,245	114,154	51.80	0 ^hrs 28 ^mins
17	TITAN V GV100 [TITAN V] M 12288	Nvidia	GV100	5,834,972	56,893	102.56	0 ^hrs 14 ^mins
18	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	5,429,097	215,618	25.18	0 ^hrs 57 ^mins
19	GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti]	Nvidia	AD106	5,202,534	274,257	18.97	1 ^hrs 16 ^mins

20	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super]	Nvidia	TU104	4,552,666	56,893	80.02	0 ^hrs 18 ^mins
21	Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE]	AMD	Navi 31	4,538,517	67,240	67.50	0 ^hrs 21 ^mins
22	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	4,177,665	189,555	22.04	1 ^hrs 5 ^mins
23	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	4,115,146	117,677	34.97	0 ^hrs 41 ^mins
24	GeForce RTX 4060 AD107 [GeForce RTX 4060]	Nvidia	AD107	3,772,681	107,044	35.24	0 ^hrs 41 ^mins
25	Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT]	AMD	Navi 21	3,651,398	168,845	21.63	1 ^hrs 7 ^mins
26	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,606,794	117,081	30.81	0 ^hrs 47 ^mins
27	GeForce RTX 2070 TU106 [GeForce RTX 2070]	Nvidia	TU106	2,930,218	147,995	19.80	1 ^hrs 13 ^mins
28	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	2,794,237	165,200	16.91	1 ^hrs 25 ^mins
29	Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT]	AMD	Navi 32	2,692,998	58,263	46.22	0 ^hrs 31 ^mins
30	GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]	Nvidia	TU106M	2,653,852	230,910	11.49	2 ^hrs 5 ^mins
31	GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile]	Nvidia	AD107M	2,651,540	106,194	24.97	0 ^hrs 58 ^mins
32	Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT]	AMD	Navi 21	2,625,501	58,504	44.88	0 ^hrs 32 ^mins
33	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,456,699	71,602	34.31	0 ^hrs 42 ^mins
34	Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT]	AMD	Navi 21	2,366,205	93,739	25.24	0 ^hrs 57 ^mins
35	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 Super]	Nvidia	TU106	2,364,597	101,892	23.21	1 ^hrs 2 ^mins
36	GeForce RTX 3060 GA106 [GeForce RTX 3060]	Nvidia	GA106	2,311,922	100,913	22.91	1 ^hrs 3 ^mins
37	GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q]	Nvidia	GA106M	2,161,998	93,495	23.12	1 ^hrs 2 ^mins
38	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	2,094,379	43,557	48.08	0 ^hrs 30 ^mins
39	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	1,997,893	58,515	34.14	0 ^hrs 42 ^mins

40	GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB]	Nvidia	GA107	1,765,407	92,367	19.11	1 ^hrs 15 ^mins
41	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	1,638,203	17,500	93.61	0 ^hrs 15 ^mins
42	RTX A2000 GA106 [RTX A2000]	Nvidia	GA106	1,551,696	88,599	17.51	1 ^hrs 22 ^mins
43	GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile]	Nvidia	TU106M	1,498,917	87,227	17.18	1 ^hrs 24 ^mins
44	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	1,487,947	106,049	14.03	1 ^hrs 43 ^mins
45	GeForce RTX 2060 TU104 [GeForce RTX 2060]	Nvidia	TU104	1,459,734	87,127	16.75	1 ^hrs 26 ^mins
46	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	1,443,295	86,810	16.63	1 ^hrs 27 ^mins
47	Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]	AMD	Navi 22 XT-XL	1,404,222	56,893	24.68	0 ^hrs 58 ^mins
48	RTX A2000 12GB GA106 [RTX A2000 12GB]	Nvidia	GA106	1,313,379	57,736	22.75	1 ^hrs 3 ^mins
49	Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]	AMD	Navi 22 XT-XL	1,218,104	22,387	54.41	0 ^hrs 26 ^mins
50	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,184,964	24,768	47.84	0 ^hrs 30 ^mins
51	Radeon RX 6650XT Navi 23 [Radeon RX 6650XT]	AMD	Navi 23	1,134,237	80,644	14.06	1 ^hrs 42 ^mins
52	GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632	Nvidia	GM200	1,072,228	110,950	9.66	2 ^hrs 29 ^mins
53	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,011,729	17,500	57.81	0 ^hrs 25 ^mins
54	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	990,651	44,043	22.49	1 ^hrs 4 ^mins
55	GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile]	Nvidia	TU116M	892,537	73,311	12.17	1 ^hrs 58 ^mins
56	Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]	AMD	Navi 23 XT-XL	863,357	73,114	11.81	2 ^hrs 2 ^mins
57	Tesla P4 GP104GL [Tesla P4] 5704	Nvidia	GP104GL	837,994	156,923	5.34	4 ^hrs 30 ^mins
58	Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S]	AMD	Navi 33	804,361	17,500	45.96	0 ^hrs 31 ^mins
59	P106-100 GP106 [P106-100]	Nvidia	GP106	769,970	106,396	7.24	3 ^hrs 19 ^mins

60	GeForce GTX 1650 TU117 [GeForce GTX 1650]	Nvidia	TU117	755,597	65,247	11.58	2 ^hrs 4 ^mins
61	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	724,576	17,500	41.40	0 ^hrs 35 ^mins
62	GeForce GTX 980 GM204 [GeForce GTX 980] 4612	Nvidia	GM204	724,126	30,631	23.64	1 ^hrs 1 ^mins
63	GeForce GTX 970 GM204 [GeForce GTX 970] 3494	Nvidia	GM204	674,559	45,374	14.87	1 ^hrs 37 ^mins
64	GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935	Nvidia	GP106	636,740	141,122	4.51	5 ^hrs 19 ^mins
65	GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q]	Nvidia	TU117M	619,480	17,500	35.40	0 ^hrs 41 ^mins
66	Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile]	Nvidia	TU117GLM	557,624	17,500	31.86	0 ^hrs 45 ^mins
67	R9 Fury X/NANO Fiji XT [R9 Fury X/NANO]	AMD	Fiji XT	527,195	56,893	9.27	2 ^hrs 35 ^mins
68	Quadro K1200 GM107GL [Quadro K1200]	Nvidia	GM107GL	391,578	55,150	7.10	3 ^hrs 23 ^mins
69	RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]	AMD	Navi 10	326,657	52,781	6.19	3 ^hrs 53 ^mins
70	GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138	Nvidia	GP107	314,745	58,303	5.40	4 ^hrs 27 ^mins
71	GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q]	Nvidia	GP107M	298,840	52,188	5.73	4 ^hrs 11 ^mins
72	RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M]	AMD	Navi 14	277,916	49,485	5.62	4 ^hrs 16 ^mins
73	Quadro P1000 GP107GL [Quadro P1000]	Nvidia	GP107GL	250,805	55,276	4.54	5 ^hrs 17 ^mins
74	GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862	Nvidia	GP107	188,241	39,134	4.81	4 ^hrs 59 ^mins
75	GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389	Nvidia	GM107	173,093	56,893	3.04	7 ^hrs 53 ^mins
76	GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile]	Nvidia	GP107M	166,234	45,451	3.66	6 ^hrs 34 ^mins
77	Quadro P620 GP107GL [Quadro P620]	Nvidia	GP107GL	160,327	78,072	2.05	11 ^hrs 41 ^mins
78	Radeon 660M-680M Rembrandt [Radeon 660M-680M]	AMD	Rembrandt	145,704	17,500	8.33	2 ^hrs 53 ^mins
79	GeForce GT 1030 GP108 [GeForce GT 1030]	Nvidia	GP108	116,420	54,686	2.13	11 ^hrs 16 ^mins

80	Ryzen 7000 Series iGPU Raphael [Ryzen 7000 Series iGPU]	AMD	Raphael	64,569	20,911	3.09	7 ^hrs 46 ^mins
81	HD 7850/R7 265/R9 270 1024SP Pitcairn PRO [HD 7850/R7 265/R9 270 1024SP]	AMD	Pitcairn PRO	51,406	26,767	1.92	12 ^hrs 30 ^mins
82	Radeon 540/540X/550/550X/RX 540X/550/550X Lexa PRO [Radeon 540/540X/550/550X/RX 540X/550/550X]	AMD	Lexa PRO	44,014	27,320	1.61	14 ^hrs 54 ^mins
83	RX Vega 10 Mobile Picasso APU [RX Vega 10 Mobile]	AMD	Picasso APU	31,616	27,872	1.13	21 ^hrs 9 ^mins

Research: CANCER Folding Project #12702

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 12702

GPU PPD Averages

Research: CANCER Folding Project #12702

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages