Folding project #17726, CANCER research

Research section Research projects and references

Project #17726 overview

Project Summary AI Beta

This project studies how proteins use ions to move molecules across cell membranes. These transporters are important for many biological processes and are targets for drugs treating diseases like cancer and diabetes. Studying them will help us understand how these proteins work in different organisms.

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: 84,262
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 transporter

A type of membrane protein that uses ion gradients to move molecules across cell membranes.

scientific: pharmaceuticalsbiochemistry / membrane transport

Secondary active transporters are essential proteins found in all living organisms. They work by using the energy stored in an ion gradient to transport other molecules across cell membranes. This process is crucial for many cellular functions, including nutrient uptake, waste removal, and signal transduction. Many secondary active transporters are also targets for drugs used to treat diseases such as cancer, diabetes, and neurological disorders.

ion gradient

A difference in concentration of ions across a cell membrane.

scientific: pharmaceuticalsbiochemistry / membrane transport

An ion gradient is a crucial phenomenon that drives many cellular processes. It refers to the unequal distribution of charged atoms (ions) across a cell membrane. This difference in concentration creates an electrochemical potential that cells can harness to power various functions, including transporting molecules and generating electrical signals. Secondary active transporters rely on ion gradients to function.

membrane transport

The movement of molecules across cell membranes.

scientific: pharmaceuticalsbiochemistry / cellular processes

Membrane transport is essential for cells to maintain their internal environment and interact with their surroundings. It involves the movement of various substances, such as nutrients, ions, and waste products, across the cell membrane. There are two main types of membrane transport: passive transport, which does not require energy, and active transport, which requires energy to move molecules against their concentration gradient. Secondary active transporters utilize a form of active transport.

protein

A large biomolecule composed of amino acids.

scientific: pharmaceuticalsbiochemistry / cellular structure

Proteins are the workhorses of cells, performing a vast array of functions. They are essential for virtually all biological processes, including catalyzing reactions, transporting molecules, providing structural support, and regulating cellular processes. Proteins are made up of chains of amino acids, which fold into specific three-dimensional structures that determine their function.

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	7,041,807	123,401	57.06	0 ^hrs 25 ^mins
2	GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB]	Nvidia	GA102	5,309,577	112,226	47.31	0 ^hrs 30 ^mins
3	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	5,039,322	112,752	44.69	0 ^hrs 32 ^mins
4	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,308,895	107,034	40.26	0 ^hrs 36 ^mins
5	Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000]	Nvidia	TU102GL	4,262,688	106,104	40.17	0 ^hrs 36 ^mins
6	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER]	Nvidia	TU104	3,202,667	97,115	32.98	0 ^hrs 44 ^mins
7	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,132,420	96,029	32.62	0 ^hrs 44 ^mins
8	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,101,627	95,658	32.42	0 ^hrs 44 ^mins
9	GeForce RTX 2080 TU104 [GeForce RTX 2080]	Nvidia	TU104	3,097,206	96,178	32.20	0 ^hrs 45 ^mins
10	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	2,872,546	93,414	30.75	0 ^hrs 47 ^mins
11	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	2,634,423	90,929	28.97	0 ^hrs 50 ^mins
12	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465	Nvidia	TU106	2,456,785	88,750	27.68	0 ^hrs 52 ^mins
13	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,260,659	84,768	26.67	0 ^hrs 54 ^mins
14	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,070,870	84,124	24.62	0 ^hrs 58 ^mins
15	GeForce RTX 2080 SUPER Mobile / Max-Q TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q]	Nvidia	TU104M	2,069,713	83,842	24.69	0 ^hrs 58 ^mins
16	Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]	AMD	Navi 21	1,729,905	79,000	21.90	1 ^hrs 6 ^mins
17	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	1,708,047	78,712	21.70	1 ^hrs 6 ^mins
18	GeForce RTX 2060 TU104 [GeForce RTX 2060]	Nvidia	TU104	1,696,681	77,445	21.91	1 ^hrs 6 ^mins
19	GeForce RTX 3060 GA106 [GeForce RTX 3060]	Nvidia	GA106	1,671,945	78,034	21.43	1 ^hrs 7 ^mins

20	GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile]	Nvidia	TU106M	1,391,184	74,067	18.78	1 ^hrs 17 ^mins
21	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	1,280,460	71,508	17.91	1 ^hrs 20 ^mins
22	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,140,969	69,425	16.43	1 ^hrs 28 ^mins
23	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	1,118,677	68,698	16.28	1 ^hrs 28 ^mins
24	GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] 4608	Nvidia	TU106M	1,098,258	64,856	16.93	1 ^hrs 25 ^mins
25	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,095,448	68,189	16.06	1 ^hrs 30 ^mins
26	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	927,995	64,444	14.40	1 ^hrs 40 ^mins
27	P104-100 GP104 [P104-100]	Nvidia	GP104	752,225	60,248	12.49	1 ^hrs 55 ^mins
28	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	697,902	58,732	11.88	2 ^hrs 1 ^mins
29	Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]	AMD	Navi 10	567,236	52,349	10.84	2 ^hrs 13 ^mins
30	GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935	Nvidia	GP106	562,266	54,484	10.32	2 ^hrs 20 ^mins
31	GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER]	Nvidia	TU116	542,984	44,280	12.26	1 ^hrs 57 ^mins
32	GeForce GTX 970 GM204 [GeForce GTX 970] 3494	Nvidia	GM204	487,600	51,073	9.55	2 ^hrs 31 ^mins
33	GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q]	Nvidia	TU117M	478,987	51,437	9.31	2 ^hrs 35 ^mins
34	P106-100 GP106 [P106-100]	Nvidia	GP106	476,465	51,679	9.22	2 ^hrs 36 ^mins
35	Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64]	AMD	Vega 10 XL/XT	441,947	47,682	9.27	2 ^hrs 35 ^mins
36	Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series]	AMD	Hawaii	342,787	46,351	7.40	3 ^hrs 15 ^mins
37	Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series]	AMD	Hawaii	339,931	44,199	7.69	3 ^hrs 7 ^mins
38	GeForce GTX 960 GM206 [GeForce GTX 960] 2308	Nvidia	GM206	279,987	43,539	6.43	3 ^hrs 44 ^mins
39	Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590]	AMD	Ellesmere XT	270,522	39,192	6.90	3 ^hrs 29 ^mins

40	P106-090 GP106 [P106-090]	Nvidia	GP106	243,572	41,337	5.89	4 ^hrs 4 ^mins
41	Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950]	AMD	Tahiti PRO	213,689	39,663	5.39	4 ^hrs 27 ^mins
42	GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile]	Nvidia	GP107M	203,702	39,040	5.22	4 ^hrs 36 ^mins
43	GeForce GTX 1650 Ti Mobile TU116M [GeForce GTX 1650 Ti Mobile]	Nvidia	TU116M	190,716	35,864	5.32	4 ^hrs 31 ^mins
44	GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634	Nvidia	GK104	156,917	35,461	4.43	5 ^hrs 25 ^mins
45	Radeon RX Vega M XL [Radeon RX Vega M XL]	AMD	Vega	122,874	32,443	3.79	6 ^hrs 20 ^mins
46	Radeon HD 7800 Pitcairn [Radeon HD 7800]	AMD	Pitcairn	119,915	32,716	3.67	6 ^hrs 33 ^mins
47	Quadro P620 GP107GL [Quadro P620]	Nvidia	GP107GL	111,144	31,884	3.49	6 ^hrs 53 ^mins
48	GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389	Nvidia	GM107	106,694	30,555	3.49	6 ^hrs 52 ^mins
49	GeForce GT 1030 GP108 [GeForce GT 1030] 1127	Nvidia	GP108	89,832	29,711	3.02	7 ^hrs 56 ^mins
50	Quadro K1200 GM107GL [Quadro K1200]	Nvidia	GM107GL	74,429	27,940	2.66	9 ^hrs 1 ^mins
51	GeForce GTX 750 GM107 [GeForce GTX 750] 1111	Nvidia	GM107	70,499	20,725	3.40	7 ^hrs 3 ^mins
52	Radeon R7/R6 360 Series Bonaire [Radeon R7/R6 360 Series]	AMD	Bonaire	52,330	24,893	2.10	11 ^hrs 25 ^mins
53	Radeon R9 Fury X Fiji XT [Radeon R9 Fury X]	AMD	Fiji XT	42,357	23,728	1.79	13 ^hrs 27 ^mins
54	Radeon R7 250/HD 7700 R575A [Radeon R7 250/HD 7700]	AMD	R575A	15,150	11,468	1.32	18 ^hrs 10 ^mins
55	GeForce GTX 670M GF114 [GeForce GTX 670M]	Nvidia	GF114	12,366	14,374	0.86	27 ^hrs 54 ^mins
56	Ryzen vega 8 mobile Raven [Ryzen vega 8 mobile]	AMD	Raven	6,968	11,468	0.61	39 ^hrs 30 ^mins

Research: CANCER Folding Project #17726

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 17726

GPU PPD Averages

Research: CANCER Folding Project #17726

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages