Folding project #14943, CANCER research

Research section Research projects and references

Project #14943 overview

Project Summary AI Beta

This project looks at how Class F Receptors and Patched proteins control how cells grow and change. These proteins can get overactive or inactive, which is linked to cancer like Basal Cell Carcinoma. By using computer simulations, we hope to understand how these proteins work so we can better learn about and treat these cancers.

Automated summary; simplified and may not be fully accurate.

Project team

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

Work unit

Atoms: 104,434
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 cell surface receptors involved in signaling pathways.

Scientific: Pharmaceutical ResearchBiotechnology / Cellular Biology

Class F receptors are a type of protein found on the surface of cells. They play a crucial role in receiving signals from other cells and molecules, influencing processes like cell growth, differentiation, and survival. Imbalances in their function can contribute to diseases like cancer.

Patched Membrane Protein

A protein found on the cell membrane that regulates signaling pathways.

Scientific: Pharmaceutical ResearchBiotechnology / Cellular Biology

Patched is a protein located on the outer surface of cells. It acts as a brake in certain signaling pathways, preventing excessive activation. Disruptions in Patched function can lead to uncontrolled cell growth and contribute to diseases like cancer.

Basal Cell Carcinoma

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

Medical: HealthcareMedicine / Oncology

Basal cell carcinoma is a common form of skin cancer that arises from the basal cells, which are located in the deepest layer of the epidermis (outer skin). It often appears as a pearly or waxy bump and can be effectively treated with various methods like surgery or medication.

Medulloblastoma

A type of brain tumor that originates in the cerebellum.

Medical: HealthcareMedicine / Neuro-oncology

Medulloblastoma is a cancerous growth that develops in the cerebellum, a part of the brain responsible for coordination and balance. It primarily affects children and often requires intensive treatment involving surgery, chemotherapy, and radiation.

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	15,173,478	185,029	82.01	0 ^hrs 18 ^mins
2	GeForce RTX 4080 AD103 [GeForce RTX 4080]	Nvidia	AD103	12,847,241	177,366	72.43	0 ^hrs 20 ^mins
3	GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti]	Nvidia	AD104	9,183,803	155,949	58.89	0 ^hrs 24 ^mins
4	GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti]	Nvidia	GA102	8,835,912	156,555	56.44	0 ^hrs 26 ^mins
5	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	7,278,254	145,236	50.11	0 ^hrs 29 ^mins
6	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	7,007,626	144,265	48.57	0 ^hrs 30 ^mins
7	GeForce RTX 4070 AD104 [GeForce RTX 4070]	Nvidia	AD104	6,653,531	142,149	46.81	0 ^hrs 31 ^mins
8	GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB]	Nvidia	GA102	6,450,409	138,026	46.73	0 ^hrs 31 ^mins
9	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	6,421,017	139,030	46.18	0 ^hrs 31 ^mins
10	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	5,883,046	134,942	43.60	0 ^hrs 33 ^mins
11	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	5,544,739	134,223	41.31	0 ^hrs 35 ^mins
12	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,956,809	130,026	38.12	0 ^hrs 38 ^mins
13	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	4,912,163	129,411	37.96	0 ^hrs 38 ^mins
14	GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti]	Nvidia	AD106	4,897,925	128,898	38.00	0 ^hrs 38 ^mins
15	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	4,220,509	122,794	34.37	0 ^hrs 42 ^mins
16	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,671,365	116,571	31.49	0 ^hrs 46 ^mins
17	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,473,433	114,923	30.22	0 ^hrs 48 ^mins
18	GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]	Nvidia	GA104M	3,427,315	114,411	29.96	0 ^hrs 48 ^mins
19	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	3,311,204	112,416	29.45	0 ^hrs 49 ^mins

20	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	3,252,472	112,242	28.98	0 ^hrs 50 ^mins
21	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER]	Nvidia	TU104	3,227,757	112,366	28.73	0 ^hrs 50 ^mins
22	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A]	Nvidia	TU106	3,104,857	110,394	28.13	0 ^hrs 51 ^mins
23	Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT]	AMD	Navi 21	2,989,383	109,616	27.27	0 ^hrs 53 ^mins
24	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	2,910,597	108,410	26.85	0 ^hrs 54 ^mins
25	Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX]	AMD	Navi 31	2,884,684	106,979	26.96	0 ^hrs 53 ^mins
26	RTX A4000 GA104GL [RTX A4000]	Nvidia	GA104GL	2,438,770	100,463	24.28	0 ^hrs 59 ^mins
27	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,393,144	102,406	23.37	1 ^hrs 2 ^mins
28	GeForce RTX 2070 TU106 [GeForce RTX 2070]	Nvidia	TU106	2,390,582	99,885	23.93	1 ^hrs 0 ^mins
29	GeForce RTX 2080 TU104 [GeForce RTX 2080]	Nvidia	TU104	2,386,166	101,968	23.40	1 ^hrs 2 ^mins
30	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,324,043	100,640	23.09	1 ^hrs 2 ^mins
31	Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT]	AMD	Navi 21	2,151,262	97,420	22.08	1 ^hrs 5 ^mins
32	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	2,062,870	95,118	21.69	1 ^hrs 6 ^mins
33	GeForce RTX 3060 GA104 [GeForce RTX 3060]	Nvidia	GA104	1,985,754	78,496	25.30	0 ^hrs 57 ^mins
34	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	1,929,965	94,484	20.43	1 ^hrs 10 ^mins
35	Geforce RTX 3050 GA106 [Geforce RTX 3050]	Nvidia	GA106	1,532,775	87,946	17.43	1 ^hrs 23 ^mins
36	GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q]	Nvidia	GA106M	1,434,263	84,387	17.00	1 ^hrs 25 ^mins
37	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	1,428,488	85,765	16.66	1 ^hrs 26 ^mins
38	Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]	AMD	Navi 22 XT-XL	1,367,877	84,781	16.13	1 ^hrs 29 ^mins
39	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	1,307,686	83,139	15.73	1 ^hrs 32 ^mins

40	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	1,302,826	82,277	15.83	1 ^hrs 31 ^mins
41	RTX A2000 GA106 [RTX A2000]	Nvidia	GA106	1,271,239	82,275	15.45	1 ^hrs 33 ^mins
42	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,233,775	81,156	15.20	1 ^hrs 35 ^mins
43	GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632	Nvidia	GM200	1,227,386	82,034	14.96	1 ^hrs 36 ^mins
44	Geforce RTX 3070 Ti Laptop GPU GA104 [Geforce RTX 3070 Ti Laptop GPU]	Nvidia	GA104	1,160,710	79,571	14.59	1 ^hrs 39 ^mins
45	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,088,100	76,991	14.13	1 ^hrs 42 ^mins
46	P104-100 GP104 [P104-100]	Nvidia	GP104	990,335	75,865	13.05	1 ^hrs 50 ^mins
47	Tesla M40 GM200GL [Tesla M40] 6844	Nvidia	GM200GL	986,301	75,674	13.03	1 ^hrs 50 ^mins
48	GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER]	Nvidia	TU116	895,816	72,684	12.32	1 ^hrs 57 ^mins
49	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	855,301	68,197	12.54	1 ^hrs 55 ^mins
50	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	709,736	67,952	10.44	2 ^hrs 18 ^mins
51	GeForce GTX 980 GM204 [GeForce GTX 980] 4612	Nvidia	GM204	692,174	67,238	10.29	2 ^hrs 20 ^mins
52	GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile]	Nvidia	GP106M	518,015	61,415	8.43	2 ^hrs 51 ^mins
53	GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935	Nvidia	GP106	453,110	58,431	7.75	3 ^hrs 6 ^mins
54	RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590]	AMD	Ellesmere XT	326,900	49,793	6.57	3 ^hrs 39 ^mins
55	P106-090 GP106 [P106-090]	Nvidia	GP106	309,006	51,677	5.98	4 ^hrs 1 ^mins
56	Tesla K40m GK110 [Tesla K40m] 5046	Nvidia	GK110	252,166	48,921	5.15	4 ^hrs 39 ^mins
57	GeForce GTX 950 GM206 [GeForce GTX 950] 1572	Nvidia	GM206	239,743	47,620	5.03	4 ^hrs 46 ^mins
58	Quadro P1000 GP107GL [Quadro P1000]	Nvidia	GP107GL	217,418	45,941	4.73	5 ^hrs 4 ^mins
59	R9 380X/R9 M295X Tonga XT/Amethyst XT [R9 380X/R9 M295X]	AMD	Tonga XT/Amethyst XT	201,344	44,885	4.49	5 ^hrs 21 ^mins

60	GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389	Nvidia	GM107	144,838	40,383	3.59	6 ^hrs 41 ^mins
61	RX Vega M GL Polaris 22 XL [RX Vega M GL]	AMD	Polaris 22 XL	144,538	40,107	3.60	6 ^hrs 40 ^mins
62	GeForce GT 1030 GP108 [GeForce GT 1030]	Nvidia	GP108	110,965	36,788	3.02	7 ^hrs 57 ^mins
63	RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M]	AMD	Navi 14	94,870	34,964	2.71	8 ^hrs 51 ^mins
64	Radeon RX 460/560D Baffin [Radeon RX 460/560D]	AMD	Baffin	87,079	37,118	2.35	10 ^hrs 14 ^mins
65	Quadro K1200 GM107GL [Quadro K1200]	Nvidia	GM107GL	54,805	29,209	1.88	12 ^hrs 47 ^mins
66	Radeon 540/540X/550/550X/RX 540X/550/550X Lexa PRO [Radeon 540/540X/550/550X/RX 540X/550/550X]	AMD	Lexa PRO	41,521	25,296	1.64	14 ^hrs 37 ^mins
67	R7 370/R9 270X/370X Curacao XT/Trinidad XT [R7 370/R9 270X/370X]	AMD	Curacao XT/Trinidad XT	38,561	24,361	1.58	15 ^hrs 10 ^mins

Research: CANCER Folding Project #14943

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 14943

GPU PPD Averages

Research: CANCER Folding Project #14943

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages