Folding project #14934, CANCER research

Research section Research projects and references

Project #14934 overview

Project Summary AI Beta

This project looks at Class F receptors, which help control how cells grow and change. When these proteins are overactive, they can lead to cancers like Basal Cell Carcinoma and Medulloblastoma. By using computer simulations, scientists hope to figure out how these proteins work and learn more about how these cancers develop.

Automated summary; simplified and may not be fully accurate.

Project team

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

Work unit

Atoms: 105,048
Core: OPENMM_22
Status: Public

Source material

Official Project Description

Class F Receptors Class F Receptors are involved in the control of cell differentiation.

Over-activation of these proteins have 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 group of cell surface receptors involved in signaling pathways.

Technical: BiotechnologyCellular Biology / Receptor Signaling

Class F Receptors are a family of proteins found on the surface of cells. They act as receptors, receiving signals from other molecules and triggering cellular responses. These receptors play a crucial role in various biological processes, including cell growth, differentiation, and survival. Disruptions in Class F receptor signaling can contribute to the development of certain cancers.

Cell Differentiation

The process by which a cell becomes specialized for a specific function.

Scientific: BiotechnologyCellular Biology / Development

Cell differentiation is the process by which unspecialized cells develop into specialized cells with specific functions. During development, stem cells undergo differentiation to give rise to all the diverse cell types in an organism. This process involves changes in gene expression and cellular structure, ultimately leading to the formation of tissues and organs.

Basal Cell Carcinoma

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

Medical: PharmaceuticalsOncology / Skin Cancer

Basal cell carcinoma is the most common type of skin cancer. It develops from the basal cells, which are found in the deepest layer of the epidermis (outermost layer of skin). Basal cell carcinomas typically appear as pearly or waxy bumps, often with visible blood vessels.

Medulloblastoma

A type of malignant brain tumor that arises from the cerebellum.

Medical: PharmaceuticalsOncology / Brain Tumors

Medulloblastoma is a highly aggressive brain tumor that originates in the cerebellum, a part of the brain responsible for balance and coordination. It primarily affects children and adolescents. Medulloblastomas can grow rapidly and spread to other parts of the body.

Simulations

Computer-based models that mimic real-world processes.

Technical: PharmaceuticalsBioinformatics / Drug Discovery

Simulations are computer-generated models that attempt to replicate complex systems or processes. In drug discovery, simulations are used to predict how drugs will interact with target proteins and to design new molecules with desired properties.

Pathogenesis

The origin and development of a disease.

Scientific: BiotechnologyMedicine / Disease Mechanisms

Pathogenesis refers to the biological processes that underlie the development and progression of a disease. Understanding pathogenesis is crucial for identifying potential therapeutic targets and developing effective treatments.

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 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	7,275,388	140,227	51.88	0 ^hrs 28 ^mins
2	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	6,842,668	137,742	49.68	0 ^hrs 29 ^mins
3	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	5,993,004	130,615	45.88	0 ^hrs 31 ^mins
4	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	5,741,990	132,890	43.21	0 ^hrs 33 ^mins
5	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	4,765,157	124,314	38.33	0 ^hrs 38 ^mins
6	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,752,685	124,538	38.16	0 ^hrs 38 ^mins
7	RTX A5000 GA102GL [RTX A5000]	Nvidia	GA102GL	4,708,407	123,916	38.00	0 ^hrs 38 ^mins
8	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	4,532,612	122,231	37.08	0 ^hrs 39 ^mins
9	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	4,167,900	119,349	34.92	0 ^hrs 41 ^mins
10	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,877,430	115,212	33.65	0 ^hrs 43 ^mins
11	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	3,351,951	110,605	30.31	0 ^hrs 48 ^mins
12	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A]	Nvidia	TU106	3,090,307	109,052	28.34	0 ^hrs 51 ^mins
13	Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000]	Nvidia	TU102GL	2,838,321	105,123	27.00	0 ^hrs 53 ^mins
14	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	2,766,234	98,506	28.08	0 ^hrs 51 ^mins
15	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465	Nvidia	TU106	2,559,554	100,723	25.41	0 ^hrs 57 ^mins
16	GeForce RTX 2070 SUPER Mobile / Max-Q TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q]	Nvidia	TU104M	2,511,253	100,248	25.05	0 ^hrs 57 ^mins
17	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,356,869	99,113	23.78	1 ^hrs 1 ^mins
18	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,309,953	98,136	23.54	1 ^hrs 1 ^mins
19	GeForce RTX 3060 GA106 [GeForce RTX 3060]	Nvidia	GA106	2,174,738	96,458	22.55	1 ^hrs 4 ^mins

20	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	2,109,715	94,671	22.28	1 ^hrs 5 ^mins
21	GeForce RTX 2060 TU104 [GeForce RTX 2060]	Nvidia	TU104	1,982,242	93,531	21.19	1 ^hrs 8 ^mins
22	GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]	Nvidia	GA104M	1,612,186	86,280	18.69	1 ^hrs 17 ^mins
23	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	1,462,083	85,027	17.20	1 ^hrs 24 ^mins
24	GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497	Nvidia	TU106	1,457,919	68,146	21.39	1 ^hrs 7 ^mins
25	GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632	Nvidia	GM200	1,340,166	82,292	16.29	1 ^hrs 28 ^mins
26	GeForce RTX 2070 TU106 [GeForce RTX 2070]	Nvidia	TU106	1,335,409	81,917	16.30	1 ^hrs 28 ^mins
27	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	1,334,871	81,884	16.30	1 ^hrs 28 ^mins
28	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	1,222,312	70,736	17.28	1 ^hrs 23 ^mins
29	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,203,529	75,705	15.90	1 ^hrs 31 ^mins
30	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	1,128,463	77,520	14.56	1 ^hrs 39 ^mins
31	Tesla M40 GM200GL [Tesla M40] 6844	Nvidia	GM200GL	1,064,413	73,505	14.48	1 ^hrs 39 ^mins
32	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	647,545	64,426	10.05	2 ^hrs 23 ^mins
33	GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q]	Nvidia	TU117M	607,163	63,591	9.55	2 ^hrs 31 ^mins
34	GeForce GTX 970 GM204 [GeForce GTX 970] 3494	Nvidia	GM204	588,659	61,862	9.52	2 ^hrs 31 ^mins
35	GeForce GTX 980 GM204 [GeForce GTX 980] 4612	Nvidia	GM204	579,625	61,855	9.37	2 ^hrs 34 ^mins
36	GeForce GTX 1650 TU117 [GeForce GTX 1650]	Nvidia	TU117	576,562	61,783	9.33	2 ^hrs 34 ^mins
37	GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935	Nvidia	GP106	486,480	58,387	8.33	2 ^hrs 53 ^mins
38	GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138	Nvidia	GP107	328,709	51,453	6.39	3 ^hrs 45 ^mins
39	Quadro P1000 GP107GL [Quadro P1000]	Nvidia	GP107GL	201,656	43,563	4.63	5 ^hrs 11 ^mins

40	GeForce GTX 770 GK104 [GeForce GTX 770] 3213	Nvidia	GK104	143,700	39,026	3.68	6 ^hrs 31 ^mins
41	GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389	Nvidia	GM107	128,798	37,554	3.43	6 ^hrs 60 ^mins
42	GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634	Nvidia	GK104	95,452	33,585	2.84	8 ^hrs 27 ^mins
43	GeForce GTX 760 GK104 [GeForce GTX 760] 2258	Nvidia	GK104	94,401	33,811	2.79	8 ^hrs 36 ^mins
44	GeForce GTX 660 GK106 [GeForce GTX 660]	Nvidia	GK106	66,982	30,269	2.21	10 ^hrs 51 ^mins
45	GeForce GT 1030 GP108 [GeForce GT 1030] 1127	Nvidia	GP108	52,655	16,800	3.13	7 ^hrs 39 ^mins

Research: CANCER Folding Project #14934

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 14934

GPU PPD Averages

Research: CANCER Folding Project #14934

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages