Folding project #17732, CANCER research

Research section Research projects and references

Project #17732 overview

Project Summary AI Beta

This project studies how proteins use ion power to move molecules across cell membranes. These proteins are found everywhere and play a role in treating diseases like cancer and diabetes. Simulations will help us understand how these proteins work, no matter their shape or size.

Automated summary; simplified and may not be fully accurate.

Project team

Manager(s): Matthew Chan
Institution: University of Illinois at Urbana-Champaign

Work unit

Atoms: 79,607
Core: OPENMM_22
Status: Public

Source material

Official Project Description

Projects 17711-17724 Molecular basis of secondary active transporters. Secondary active membrane transporters are proteins that utilize ions to transport an assortment of molecules across cell membranes.

These proteins are found in all domains in life and surprisingly, despite vastly different structures, operate under the same mechanism by using an ion gradient to assist in small molecule transport.

Furthermore, many of these secondary active transporters are drug targets to treat disease like cancer, diabetes, and neurological disorders.

These simulations will allow us to understand a universal role of ion-coupling across different families of proteins.

Reading reference

Related Terms Glossary AI Beta

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

Secondary active transporters

Proteins that use ions to transport molecules across cell membranes.

Scientific: Biotechnology, PharmacologyMembrane Transport / Cellular Physiology

Secondary active transporters are essential proteins found in all living organisms. They work by using the energy from an ion gradient to move other molecules across cell membranes. This process is crucial for many cellular functions, including nutrient uptake, waste removal, and signal transduction. These transporters are also important drug targets for treating various diseases like cancer, diabetes, and neurological disorders.

Ion gradient

A difference in concentration of ions across a cell membrane.

Scientific: Biotechnology, PharmacologyCellular Physiology / Membrane Transport

An ion gradient is a crucial concept in cellular physiology. It refers to the unequal distribution of charged particles (ions) across a cell membrane. This difference in concentration creates an electrochemical potential that drives various cellular processes, including nutrient uptake, waste removal, and nerve impulse transmission.

Drug targets

Molecules or cellular pathways that are targeted by drugs to achieve therapeutic effects.

Technical: Biotechnology, PharmaceuticalsPharmacology / Drug Discovery

In drug development, drug targets are specific molecules or biological processes that are altered by medications to treat diseases. By understanding the mechanisms of disease, researchers can identify potential drug targets and design drugs that interact with these targets to produce the desired therapeutic effect.

Cancer

A group of diseases characterized by uncontrolled cell growth.

Pathology: Biotechnology, PharmaceuticalsMedicine / Oncology

Cancer is a complex group of diseases caused by abnormal cell growth and spread. It occurs when cells lose their normal regulatory mechanisms and begin to divide uncontrollably, invading surrounding tissues and potentially spreading to other parts of the body.

Diabetes

A metabolic disorder characterized by high blood sugar levels.

Pathology: Biotechnology, PharmaceuticalsMedicine / Endocrinology

Diabetes is a chronic disease that affects how the body regulates blood sugar (glucose). There are different types of diabetes, but they all involve problems with insulin production or action. Insulin is a hormone that helps cells absorb glucose from the bloodstream. Without enough insulin or when the body doesn't respond to insulin properly, glucose builds up in the blood, leading to various health complications.

Neurological disorders

Conditions that affect the nervous system.

Pathology: Biotechnology, PharmaceuticalsMedicine / Neurology

Neurological disorders encompass a wide range of diseases and conditions that impact the brain, spinal cord, and peripheral nerves. These disorders can affect various functions, including movement, sensation, cognition, and emotions. Some common neurological disorders include Alzheimer's disease, Parkinson's disease, stroke, epilepsy, and multiple sclerosis.

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	7,083,924	114,060	62.11	0 ^hrs 23 ^mins
2	GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB]	Nvidia	GA102	5,629,916	106,791	52.72	0 ^hrs 27 ^mins
3	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	4,988,809	102,746	48.55	0 ^hrs 30 ^mins
4	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,512,356	99,230	45.47	0 ^hrs 32 ^mins
5	Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000]	Nvidia	TU102GL	4,468,029	98,255	45.47	0 ^hrs 32 ^mins
6	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,184,304	88,607	35.94	0 ^hrs 40 ^mins
7	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER]	Nvidia	TU104	3,081,130	87,683	35.14	0 ^hrs 41 ^mins
8	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,077,767	87,880	35.02	0 ^hrs 41 ^mins
9	GeForce RTX 2080 TU104 [GeForce RTX 2080]	Nvidia	TU104	2,900,783	82,842	35.02	0 ^hrs 41 ^mins
10	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	2,846,854	85,486	33.30	0 ^hrs 43 ^mins
11	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	2,582,568	82,515	31.30	0 ^hrs 46 ^mins
12	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465	Nvidia	TU106	2,471,275	81,815	30.21	0 ^hrs 48 ^mins
13	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,418,372	81,070	29.83	0 ^hrs 48 ^mins
14	GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497	Nvidia	TU106	2,063,777	76,344	27.03	0 ^hrs 53 ^mins
15	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,037,360	76,113	26.77	0 ^hrs 54 ^mins
16	GeForce RTX 3060 GA106 [GeForce RTX 3060]	Nvidia	GA106	1,978,521	75,864	26.08	0 ^hrs 55 ^mins
17	GeForce RTX 2060 TU104 [GeForce RTX 2060]	Nvidia	TU104	1,813,040	73,852	24.55	0 ^hrs 59 ^mins
18	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	1,811,045	73,631	24.60	0 ^hrs 59 ^mins
19	GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile]	Nvidia	TU106M	1,436,334	68,765	20.89	1 ^hrs 9 ^mins

20	Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]	AMD	Navi 21	1,342,702	65,823	20.40	1 ^hrs 11 ^mins
21	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	1,292,867	65,827	19.64	1 ^hrs 13 ^mins
22	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,198,668	64,676	18.53	1 ^hrs 18 ^mins
23	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	1,088,095	61,960	17.56	1 ^hrs 22 ^mins
24	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,085,673	62,188	17.46	1 ^hrs 22 ^mins
25	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	963,511	60,003	16.06	1 ^hrs 30 ^mins
26	P104-100 GP104 [P104-100]	Nvidia	GP104	819,309	56,896	14.40	1 ^hrs 40 ^mins
27	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	672,640	53,131	12.66	1 ^hrs 54 ^mins
28	GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER]	Nvidia	TU116	666,634	45,262	14.73	1 ^hrs 38 ^mins
29	GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935	Nvidia	GP106	577,583	50,791	11.37	2 ^hrs 7 ^mins
30	GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q]	Nvidia	TU117M	548,763	49,788	11.02	2 ^hrs 11 ^mins
31	GeForce GTX 970 GM204 [GeForce GTX 970] 3494	Nvidia	GM204	499,937	46,683	10.71	2 ^hrs 14 ^mins
32	P106-100 GP106 [P106-100]	Nvidia	GP106	478,037	47,385	10.09	2 ^hrs 23 ^mins
33	Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q]	Nvidia	TU117GLM	471,017	46,984	10.03	2 ^hrs 24 ^mins
34	Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]	AMD	Navi 10	439,413	44,380	9.90	2 ^hrs 25 ^mins
35	Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series]	AMD	Hawaii	399,727	44,681	8.95	2 ^hrs 41 ^mins
36	GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984	Nvidia	TU116	376,739	43,678	8.63	2 ^hrs 47 ^mins
37	Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series]	AMD	Hawaii	307,178	40,963	7.50	3 ^hrs 12 ^mins
38	Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590]	AMD	Ellesmere XT	296,355	39,899	7.43	3 ^hrs 14 ^mins
39	GeForce GTX 960 GM206 [GeForce GTX 960] 2308	Nvidia	GM206	287,223	40,279	7.13	3 ^hrs 22 ^mins

40	Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64]	AMD	Vega 10 XL/XT	250,037	37,904	6.60	3 ^hrs 38 ^mins
41	P106-090 GP106 [P106-090]	Nvidia	GP106	242,023	37,815	6.40	3 ^hrs 45 ^mins
42	GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile]	Nvidia	GP107M	211,671	35,581	5.95	4 ^hrs 2 ^mins
43	Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950]	AMD	Tahiti PRO	205,191	35,721	5.74	4 ^hrs 11 ^mins
44	GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile]	Nvidia	GP107M	199,182	35,505	5.61	4 ^hrs 17 ^mins
45	GeForce GTX 680 GK104 [GeForce GTX 680] 3250	Nvidia	GK104	180,662	34,453	5.24	4 ^hrs 35 ^mins
46	GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634	Nvidia	GK104	156,343	32,222	4.85	4 ^hrs 57 ^mins
47	Radeon HD 7800 Pitcairn [Radeon HD 7800]	AMD	Pitcairn	117,273	29,892	3.92	6 ^hrs 7 ^mins
48	Quadro P620 GP107GL [Quadro P620]	Nvidia	GP107GL	113,802	29,426	3.87	6 ^hrs 12 ^mins
49	Quadro K2200 GM107GL [Quadro K2200]	Nvidia	GM107GL	110,013	29,142	3.78	6 ^hrs 21 ^mins
50	GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389	Nvidia	GM107	103,309	28,566	3.62	6 ^hrs 38 ^mins
51	Radeon RX Vega M XL [Radeon RX Vega M XL]	AMD	Vega	100,834	27,133	3.72	6 ^hrs 27 ^mins
52	GeForce GT 1030 GP108 [GeForce GT 1030] 1127	Nvidia	GP108	94,089	27,544	3.42	7 ^hrs 2 ^mins
53	GeForce GTX 960M GM107 [GeForce GTX 960M] 1439	Nvidia	GM107	76,923	24,481	3.14	7 ^hrs 38 ^mins
54	Quadro K1200 GM107GL [Quadro K1200]	Nvidia	GM107GL	74,509	25,649	2.90	8 ^hrs 16 ^mins
55	GTX 650 Ti Boost GK106 [GTX 650 Ti Boost]	Nvidia	GK106	67,510	23,186	2.91	8 ^hrs 15 ^mins
56	Radeon R7 250/HD 7700 R575A [Radeon R7 250/HD 7700]	AMD	R575A	24,155	16,412	1.47	16 ^hrs 18 ^mins
57	Ryzen vega 8 mobile Raven [Ryzen vega 8 mobile]	AMD	Raven	22,524	14,194	1.59	15 ^hrs 7 ^mins

Research: CANCER Folding Project #17732

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 17732

GPU PPD Averages

Research: CANCER Folding Project #17732

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages