PROJECT #17727 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

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.

PROJECT INFO

Manager(s): Matthew Chan

Institution: University of Illinois at Urbana-Champaign

PROJECT WORK UNIT SUMMARY

Atoms: 81,196

Core: OPENMM_22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Thursday, 15 April 2021 20:47:16

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	7,436,142	120,845	61.53	0 ^hrs 23 ^mins
2	GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB]	Nvidia	GA102	5,908,292	112,499	52.52	0 ^hrs 27 ^mins
3	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	5,099,434	107,226	47.56	1 ^hrs 30 ^mins
4	Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000]	Nvidia	TU102GL	4,732,179	104,064	45.47	1 ^hrs 32 ^mins
5	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,280,953	101,469	42.19	1 ^hrs 34 ^mins
6	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	3,383,865	93,582	36.16	1 ^hrs 40 ^mins
7	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,138,821	91,291	34.38	1 ^hrs 42 ^mins
8	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,137,529	91,210	34.40	1 ^hrs 42 ^mins
9	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER]	Nvidia	TU104	2,931,001	89,387	32.79	1 ^hrs 44 ^mins
10	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	2,619,794	86,019	30.46	1 ^hrs 47 ^mins
11	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,330,958	82,706	28.18	1 ^hrs 51 ^mins
12	GeForce RTX 3060 GA106 [GeForce RTX 3060]	Nvidia	GA106	2,192,866	81,217	27.00	1 ^hrs 53 ^mins
13	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	1,926,343	76,422	25.21	1 ^hrs 57 ^mins
14	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	1,884,202	77,398	24.34	1 ^hrs 59 ^mins
15	GeForce RTX 2060 TU104 [GeForce RTX 2060]	Nvidia	TU104	1,816,661	77,065	23.57	1 ^hrs 1 ^mins
16	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	1,368,282	69,640	19.65	1 ^hrs 13 ^mins
17	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	1,253,991	67,724	18.52	1 ^hrs 18 ^mins
18	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,213,364	67,052	18.10	1 ^hrs 20 ^mins
19	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,127,809	65,910	17.11	1 ^hrs 24 ^mins
20	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	1,124,954	65,111	17.28	1 ^hrs 23 ^mins
21	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	961,293	61,904	15.53	2 ^hrs 33 ^mins
22	Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]	AMD	Navi 21	947,358	60,949	15.54	2 ^hrs 33 ^mins
23	GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER]	Nvidia	TU116	823,519	58,810	14.00	2 ^hrs 43 ^mins
24	Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]	AMD	Navi 10	784,670	57,865	13.56	2 ^hrs 46 ^mins
25	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	647,923	53,969	12.01	2 ^hrs 60 ^mins
26	GeForce GTX 970 GM204 [GeForce GTX 970] 3494	Nvidia	GM204	518,257	50,333	10.30	2 ^hrs 20 ^mins
27	P106-100 GP106 [P106-100]	Nvidia	GP106	484,884	49,269	9.84	2 ^hrs 26 ^mins
28	Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q]	Nvidia	TU117GLM	468,695	48,279	9.71	2 ^hrs 28 ^mins
29	GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984	Nvidia	TU116	446,826	48,006	9.31	3 ^hrs 35 ^mins
30	Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series]	AMD	Hawaii	341,444	43,921	7.77	3 ^hrs 5 ^mins
31	GeForce GTX 960 GM206 [GeForce GTX 960] 2308	Nvidia	GM206	324,082	43,257	7.49	3 ^hrs 12 ^mins
32	Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590]	AMD	Ellesmere XT	237,890	36,380	6.54	4 ^hrs 40 ^mins
33	Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950]	AMD	Tahiti PRO	204,872	37,143	5.52	4 ^hrs 21 ^mins
34	GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634	Nvidia	GK104	155,422	33,490	4.64	5 ^hrs 10 ^mins
35	Radeon HD 7800 Pitcairn [Radeon HD 7800]	AMD	Pitcairn	119,370	31,084	3.84	6 ^hrs 15 ^mins
36	Radeon Rx 270/370 Curacao Pro [Radeon Rx 270/370]	AMD	Curacao Pro	106,647	29,237	3.65	7 ^hrs 35 ^mins
37	GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389	Nvidia	GM107	103,350	29,542	3.50	7 ^hrs 52 ^mins
38	Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64]	AMD	Vega 10 XL/XT	91,561	27,330	3.35	7 ^hrs 10 ^mins
39	GeForce GT 1030 GP108 [GeForce GT 1030] 1127	Nvidia	GP108	88,927	28,028	3.17	8 ^hrs 34 ^mins
40	Quadro K1200 GM107GL [Quadro K1200]	Nvidia	GM107GL	74,927	26,546	2.82	9 ^hrs 30 ^mins
41	Radeon R7/R6 360 Series Bonaire [Radeon R7/R6 360 Series]	AMD	Bonaire	33,802	15,453	2.19	11 ^hrs 58 ^mins
42	Radeon R7 250/HD 7700 R575A [Radeon R7 250/HD 7700]	AMD	R575A	17,321	12,709	1.36	18 ^hrs 37 ^mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Thursday, 15 April 2021 20:47:16

Rank Project	CPU Model	Logical Processors (LP)	PPD-PLP AVG PPD per 1 LP	ALL LP-PPD (Estimated)	Make

Legal Information: This sites use is for entertainment purposes only and comes with no guarantees or warranties in its use or related to any data displayed, collected or calcuated. This site is not affilated with folding@home or any folding team or GPU / CPU company in any official capacity and is an enthusiast creation in support of folding@home and the users / teams folding data for the greater good.

Please Note: By using this site, and / or our chrome extension you understand that you may be periodically providing information such as your IP, stats regarding use of our site, and folding@home GPU / CPU model, Work Unit ID and PPD estimate data when using our Chrome extention to the site developer for site optimization and PPD related data displayed on the site.

IF YOU DO NOT WISH TO CONTRIBUTE DATA TO THE PPD DATABASE PLEASE UNINSTALL OUR PLUGIN/TOOLS AND DISCONTINUE USE OF THIS SITE IMMEDIATELY.