Folding project #14948, CANCER research

Research section Research projects and references

Project #14948 overview

Project Summary AI Beta

The project relates to understanding how proteins called Class F Receptors and Patched control cell growth. When these proteins malfunction, they can lead to cancers like Basal Cell Carcinoma and Medulloblastoma. By using computer simulations, researchers hope to learn how these proteins work and find new ways to treat these diseases.

Automated summary; simplified and may not be fully accurate.

Project team

Manager(s): Prateek Bansal
Institution: University of Illinois Urbana-Champaign

Work unit

Atoms: 106,128
Core: 0x22
Status: Public

Source material

Official Project Description

Class F Receptors and Patched Membrane Protein Class F Receptors and Patched are human proteins that are involved in the control of cell differentiation.

Over-activation/inactivation of these proteins has links to Basal Cell Carcinoma and Medulloblastoma.

Through simulations we aim to understand the activation mechanisms of these proteins, giving us a way to probe into the pathogenesis of the disease.

Reading reference

Related Terms Glossary AI Beta

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

Class F Receptors

A class of G protein-coupled receptors involved in cell signaling.

Scientific: MedicineBiotechnology / Cellular Biology

Class F Receptors are a type of protein found on the surface of cells. They play a crucial role in cell communication and growth regulation. Certain types of cancer are linked to abnormalities in these receptors.

Patched Membrane Protein

A transmembrane protein that acts as a receptor for Hedgehog signaling.

Scientific: MedicineBiotechnology / Molecular Biology

Patched is a protein embedded in the cell membrane. It functions as a sensor for Hedgehog signals, which are important for embryonic development and tissue maintenance. Disruptions in Patched can lead to various developmental abnormalities and cancers.

Basal Cell Carcinoma

A common type of skin cancer that originates in the basal cells.

Medical: HealthcareMedicine / Oncology

Basal Cell Carcinoma is a non-melanoma skin cancer that arises from the basal layer of the epidermis. It is typically slow-growing and rarely spreads to other parts of the body. Treatment options include surgery, radiation therapy, or topical medications.

Medulloblastoma

An aggressive type of brain tumor that originates in the cerebellum.

Medical: HealthcareMedicine / Pediatrics

Medulloblastoma is a cancerous tumor that forms in the cerebellum, a part of the brain responsible for coordination and balance. It is most common in children and can be very aggressive. Treatment typically involves surgery, chemotherapy, and radiation therapy.

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	15,381,162	184,229	83.49	0 ^hrs 17 ^mins
2	GeForce RTX 4080 AD103 [GeForce RTX 4080]	Nvidia	AD103	12,589,987	174,767	72.04	0 ^hrs 20 ^mins
3	GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti]	Nvidia	AD104	11,333,441	158,472	71.52	0 ^hrs 20 ^mins
4	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	7,952,961	147,663	53.86	0 ^hrs 27 ^mins
5	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	6,869,322	143,350	47.92	0 ^hrs 30 ^mins
6	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	6,480,092	139,037	46.61	0 ^hrs 31 ^mins
7	GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB]	Nvidia	GA102	6,305,049	135,523	46.52	0 ^hrs 31 ^mins
8	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	5,984,714	136,232	43.93	0 ^hrs 33 ^mins
9	GeForce RTX 4070 AD104 [GeForce RTX 4070]	Nvidia	AD104	5,958,793	137,515	43.33	0 ^hrs 33 ^mins
10	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	5,104,561	125,499	40.67	0 ^hrs 35 ^mins
11	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	4,665,345	125,332	37.22	0 ^hrs 39 ^mins
12	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,185,425	122,132	34.27	0 ^hrs 42 ^mins
13	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	3,828,370	118,470	32.32	0 ^hrs 45 ^mins
14	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,708,988	116,954	31.71	0 ^hrs 45 ^mins
15	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	3,415,207	112,995	30.22	0 ^hrs 48 ^mins
16	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	3,239,093	111,402	29.08	0 ^hrs 50 ^mins
17	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	3,211,664	109,588	29.31	0 ^hrs 49 ^mins
18	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,196,358	109,929	29.08	0 ^hrs 50 ^mins
19	Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT]	AMD	Navi 21	3,078,871	110,106	27.96	0 ^hrs 51 ^mins

20	GeForce RTX 2070 TU106 [GeForce RTX 2070]	Nvidia	TU106	2,779,564	106,306	26.15	0 ^hrs 55 ^mins
21	RTX A4000 GA104GL [RTX A4000]	Nvidia	GA104GL	2,545,169	101,114	25.17	0 ^hrs 57 ^mins
22	Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX]	AMD	Navi 31	2,507,126	101,896	24.60	0 ^hrs 59 ^mins
23	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,318,363	100,415	23.09	1 ^hrs 2 ^mins
24	GeForce RTX 3060 GA104 [GeForce RTX 3060]	Nvidia	GA104	2,105,640	96,625	21.79	1 ^hrs 6 ^mins
25	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	2,102,908	94,366	22.28	1 ^hrs 5 ^mins
26	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	1,883,462	93,007	20.25	1 ^hrs 11 ^mins
27	Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT]	AMD	Navi 21	1,872,672	91,459	20.48	1 ^hrs 10 ^mins
28	Geforce RTX 3050 GA106 [Geforce RTX 3050]	Nvidia	GA106	1,468,180	85,259	17.22	1 ^hrs 24 ^mins
29	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	1,444,333	78,886	18.31	1 ^hrs 19 ^mins
30	RTX A2000 GA106 [RTX A2000]	Nvidia	GA106	1,431,058	85,315	16.77	1 ^hrs 26 ^mins
31	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	1,400,744	84,742	16.53	1 ^hrs 27 ^mins
32	GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q]	Nvidia	GA106M	1,247,274	78,837	15.82	1 ^hrs 31 ^mins
33	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,226,594	80,352	15.27	1 ^hrs 34 ^mins
34	GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632	Nvidia	GM200	1,175,318	80,066	14.68	1 ^hrs 38 ^mins
35	Radeon RX 6650XT Navi 23 [Radeon RX 6650XT]	AMD	Navi 23	1,077,431	77,024	13.99	1 ^hrs 43 ^mins
36	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	989,730	74,292	13.32	1 ^hrs 48 ^mins
37	P104-100 GP104 [P104-100]	Nvidia	GP104	961,972	74,893	12.84	1 ^hrs 52 ^mins
38	Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]	AMD	Navi 22 XT-XL	893,657	71,627	12.48	1 ^hrs 55 ^mins
39	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	843,830	72,198	11.69	2 ^hrs 3 ^mins

40	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	706,027	67,789	10.42	2 ^hrs 18 ^mins
41	GeForce GTX 980 GM204 [GeForce GTX 980] 4612	Nvidia	GM204	662,799	64,607	10.26	2 ^hrs 20 ^mins
42	Quadro P2200 GP106GL [Quadro P2200]	Nvidia	GP106GL	459,526	58,520	7.85	3 ^hrs 3 ^mins
43	Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64]	AMD	Vega 10 XL/XT	386,065	55,511	6.95	3 ^hrs 27 ^mins
44	RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590]	AMD	Ellesmere XT	275,982	49,401	5.59	4 ^hrs 18 ^mins
45	Tesla K40m GK110 [Tesla K40m] 5046	Nvidia	GK110	227,302	47,413	4.79	5 ^hrs 0 ^mins
46	GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389	Nvidia	GM107	221,390	39,370	5.62	4 ^hrs 16 ^mins
47	GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile]	Nvidia	GP107M	188,854	44,638	4.23	5 ^hrs 40 ^mins
48	GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862	Nvidia	GP107	183,911	45,012	4.09	5 ^hrs 52 ^mins
49	RX Vega M GL Polaris 22 XL [RX Vega M GL]	AMD	Polaris 22 XL	140,020	39,369	3.56	6 ^hrs 45 ^mins
50	RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M]	AMD	Navi 14	105,575	35,270	2.99	8 ^hrs 1 ^mins
51	GeForce GT 1030 GP108 [GeForce GT 1030]	Nvidia	GP108	101,474	35,430	2.86	8 ^hrs 23 ^mins
52	Vega Mobile 5000 series APU Cezanne [Vega Mobile 5000 series APU]	AMD	Cezanne	77,491	31,311	2.47	9 ^hrs 42 ^mins
53	Radeon 540/540X/550/550X/RX 540X/550/550X Lexa PRO [Radeon 540/540X/550/550X/RX 540X/550/550X]	AMD	Lexa PRO	53,593	28,670	1.87	12 ^hrs 50 ^mins
54	R7 370/R9 270X/370X Curacao XT/Trinidad XT [R7 370/R9 270X/370X]	AMD	Curacao XT/Trinidad XT	51,916	26,512	1.96	12 ^hrs 15 ^mins

Research: CANCER Folding Project #14948

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 14948

GPU PPD Averages

Research: CANCER Folding Project #14948

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages