Folding project #14946, CANCER research

Research section Research projects and references

Project #14946 overview

Project Summary AI Beta

This project looks at how Class F Receptors and Patched proteins control how cells develop. When these proteins don't work right, they can cause cancer like Basal Cell Carcinoma and Medulloblastoma. By studying how these proteins activate, we hope to learn more about why these cancers happen.

Automated summary; simplified and may not be fully accurate.

Project team

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

Work unit

Atoms: 106,127
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

Receptors that play a role in cell signaling and differentiation.

Scientific: BiotechnologyCell Biology / Signal Transduction

Class F receptors are a type of protein found on the surface of cells. They receive signals from other molecules and trigger changes inside the cell, affecting processes like growth and development. Disruptions in their function can contribute to diseases like cancer.

Patched

A protein that regulates the activity of other proteins involved in cell growth and differentiation.

Scientific: BiotechnologyCell Biology / Signal Transduction

Patched is a protein that acts as a brake on cellular signaling. It helps control the activity of other proteins involved in processes like cell growth and division. When Patched is not functioning properly, it can lead to uncontrolled cell proliferation, contributing to diseases like cancer.

Basal Cell Carcinoma

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

Pathological: MedicineOncology / Skin Cancer

Basal cell carcinoma is the most common type of skin cancer. It arises from abnormal growth of the basal cells, which are found in the deepest layer of the epidermis (skin). Basal cell carcinomas usually appear as pearly or waxy bumps and can be treated effectively with surgery or other therapies.

Medulloblastoma

A type of malignant brain tumor that originates in the cerebellum.

Pathological: MedicineOncology / Brain Tumors

Medulloblastoma is a highly aggressive type of brain tumor that typically affects children. It arises from cells in the cerebellum, a part of the brain responsible for balance and coordination. Medulloblastoma can spread to other parts of the body, making it a serious condition requiring intensive treatment.

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	14,121,393	176,359	80.07	0 ^hrs 18 ^mins
2	GeForce RTX 4080 AD103 [GeForce RTX 4080]	Nvidia	AD103	12,747,617	173,901	73.30	0 ^hrs 20 ^mins
3	GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti]	Nvidia	AD104	9,235,531	151,661	60.90	0 ^hrs 24 ^mins
4	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	7,665,101	145,471	52.69	0 ^hrs 27 ^mins
5	GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti]	Nvidia	GA102	7,207,399	146,833	49.09	0 ^hrs 29 ^mins
6	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	6,680,109	139,498	47.89	0 ^hrs 30 ^mins
7	GeForce RTX 4070 AD104 [GeForce RTX 4070]	Nvidia	AD104	6,678,320	141,074	47.34	0 ^hrs 30 ^mins
8	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	6,660,481	139,862	47.62	0 ^hrs 30 ^mins
9	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	6,360,889	137,004	46.43	0 ^hrs 31 ^mins
10	GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB]	Nvidia	GA102	6,279,458	134,308	46.75	0 ^hrs 31 ^mins
11	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	5,208,872	129,122	40.34	0 ^hrs 36 ^mins
12	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	4,868,718	126,400	38.52	0 ^hrs 37 ^mins
13	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,769,769	126,146	37.81	0 ^hrs 38 ^mins
14	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	4,236,363	121,317	34.92	0 ^hrs 41 ^mins
15	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,650,743	114,565	31.87	0 ^hrs 45 ^mins
16	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	3,281,289	110,245	29.76	0 ^hrs 48 ^mins
17	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,191,281	109,780	29.07	0 ^hrs 50 ^mins
18	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	3,085,251	105,460	29.26	0 ^hrs 49 ^mins
19	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A]	Nvidia	TU106	3,083,257	108,916	28.31	0 ^hrs 51 ^mins

20	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	3,037,858	107,424	28.28	0 ^hrs 51 ^mins
21	Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT]	AMD	Navi 21	3,008,185	108,687	27.68	0 ^hrs 52 ^mins
22	Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX]	AMD	Navi 31	3,003,148	106,474	28.21	0 ^hrs 51 ^mins
23	RTX A4000 GA104GL [RTX A4000]	Nvidia	GA104GL	2,749,893	104,213	26.39	0 ^hrs 55 ^mins
24	GeForce RTX 3060 GA104 [GeForce RTX 3060]	Nvidia	GA104	2,703,795	104,149	25.96	0 ^hrs 55 ^mins
25	GeForce RTX 2070 TU106 [GeForce RTX 2070]	Nvidia	TU106	2,418,300	100,582	24.04	0 ^hrs 60 ^mins
26	GeForce RTX 2080 TU104 [GeForce RTX 2080]	Nvidia	TU104	2,322,733	99,157	23.42	1 ^hrs 1 ^mins
27	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,291,806	99,360	23.07	1 ^hrs 2 ^mins
28	Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT]	AMD	Navi 21	2,174,498	96,614	22.51	1 ^hrs 4 ^mins
29	TITAN X GP102 [TITAN X] 6144	Nvidia	GP102	1,983,744	91,128	21.77	1 ^hrs 6 ^mins
30	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	1,808,286	91,394	19.79	1 ^hrs 13 ^mins
31	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	1,711,587	87,395	19.58	1 ^hrs 14 ^mins
32	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	1,635,604	84,233	19.42	1 ^hrs 14 ^mins
33	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	1,387,418	83,629	16.59	1 ^hrs 27 ^mins
34	Geforce RTX 3050 GA106 [Geforce RTX 3050]	Nvidia	GA106	1,363,842	83,474	16.34	1 ^hrs 28 ^mins
35	GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q]	Nvidia	GA106M	1,308,886	77,612	16.86	1 ^hrs 25 ^mins
36	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	1,296,503	81,813	15.85	1 ^hrs 31 ^mins
37	RTX A2000 GA106 [RTX A2000]	Nvidia	GA106	1,278,857	81,036	15.78	1 ^hrs 31 ^mins
38	Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]	AMD	Navi 22 XT-XL	1,277,625	79,983	15.97	1 ^hrs 30 ^mins
39	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,224,846	79,237	15.46	1 ^hrs 33 ^mins

40	GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632	Nvidia	GM200	1,098,273	77,107	14.24	1 ^hrs 41 ^mins
41	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,016,478	73,447	13.84	1 ^hrs 44 ^mins
42	P104-100 GP104 [P104-100]	Nvidia	GP104	993,843	74,864	13.28	1 ^hrs 48 ^mins
43	GeForce GTX 980 GM204 [GeForce GTX 980] 4612	Nvidia	GM204	839,374	70,540	11.90	2 ^hrs 1 ^mins
44	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	599,497	62,915	9.53	2 ^hrs 31 ^mins
45	GeForce GTX 1650 TU117 [GeForce GTX 1650]	Nvidia	TU117	536,531	60,613	8.85	2 ^hrs 43 ^mins
46	RX Vega 10 Mobile Picasso APU [RX Vega 10 Mobile]	AMD	Picasso APU	492,309	24,563	20.04	1 ^hrs 12 ^mins
47	GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138	Nvidia	GP107	330,671	51,948	6.37	3 ^hrs 46 ^mins
48	RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590]	AMD	Ellesmere XT	312,885	59,284	5.28	4 ^hrs 33 ^mins
49	P106-090 GP106 [P106-090]	Nvidia	GP106	296,538	50,052	5.92	4 ^hrs 3 ^mins
50	Tesla K40m GK110 [Tesla K40m] 5046	Nvidia	GK110	234,001	46,900	4.99	4 ^hrs 49 ^mins
51	Quadro P1000 GP107GL [Quadro P1000]	Nvidia	GP107GL	205,870	44,474	4.63	5 ^hrs 11 ^mins
52	RX Vega M GL Polaris 22 XL [RX Vega M GL]	AMD	Polaris 22 XL	135,018	38,602	3.50	6 ^hrs 52 ^mins
53	RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M]	AMD	Navi 14	115,305	36,704	3.14	7 ^hrs 38 ^mins
54	GeForce GT 1030 GP108 [GeForce GT 1030]	Nvidia	GP108	103,960	34,955	2.97	8 ^hrs 4 ^mins
55	Quadro K2200 GM107GL [Quadro K2200]	Nvidia	GM107GL	90,319	37,271	2.42	9 ^hrs 54 ^mins
56	Quadro K1200 GM107GL [Quadro K1200]	Nvidia	GM107GL	52,037	28,123	1.85	12 ^hrs 58 ^mins
57	R7 370/R9 270X/370X Curacao XT/Trinidad XT [R7 370/R9 270X/370X]	AMD	Curacao XT/Trinidad XT	46,197	25,567	1.81	13 ^hrs 17 ^mins
58	GeForce GTX 745 GM107 [GeForce GTX 745] 793	Nvidia	GM107	31,572	27,897	1.13	21 ^hrs 12 ^mins
59	Vega Mobile 5000 series APU Cezanne [Vega Mobile 5000 series APU]	AMD	Cezanne	21,254	21,018	1.01	23 ^hrs 44 ^mins

Research: CANCER Folding Project #14946

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 14946

GPU PPD Averages

Research: CANCER Folding Project #14946

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages