PROJECT #17792 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
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 diseases like cancer, diabetes, and neurological disorders.
The simulations in this project 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 Urbana-Champaign
PROJECT WORK UNIT SUMMARY
Atoms: 109,778
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Sunday, 22 May 2022 15:22:31
|
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 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,081,214 | 184,271 | 38.43 | 1 hrs 37 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,845,244 | 181,156 | 37.79 | 1 hrs 38 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,042,119 | 174,346 | 34.66 | 1 hrs 42 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,892,114 | 164,203 | 29.79 | 1 hrs 48 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,166,910 | 155,599 | 26.78 | 1 hrs 54 mins |
| 6 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 4,076,630 | 155,704 | 26.18 | 1 hrs 55 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,063,175 | 154,226 | 26.35 | 1 hrs 55 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,260,113 | 143,384 | 22.74 | 1 hrs 3 mins |
| 9 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,056,043 | 141,483 | 21.60 | 1 hrs 7 mins |
| 10 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,931,901 | 138,946 | 21.10 | 1 hrs 8 mins |
| 11 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,073,692 | 123,831 | 16.75 | 1 hrs 26 mins |
| 12 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,779,733 | 117,413 | 15.16 | 2 hrs 35 mins |
| 13 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,466,851 | 109,005 | 13.46 | 2 hrs 47 mins |
| 14 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,134,451 | 100,760 | 11.26 | 2 hrs 8 mins |
| 15 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,095,141 | 99,486 | 11.01 | 2 hrs 11 mins |
| 16 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,067,813 | 98,871 | 10.80 | 2 hrs 13 mins |
| 17 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 508,400 | 77,077 | 6.60 | 4 hrs 38 mins |
| 18 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 501,485 | 77,118 | 6.50 | 4 hrs 41 mins |
| 19 | Radeon RX 6700/6700 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT / 6800M] |
AMD | Navi 22 | 449,128 | 74,630 | 6.02 | 4 hrs 59 mins |
| 20 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 317,635 | 66,320 | 4.79 | 5 hrs 1 mins |
| 21 | Radeon RX 6600/6600 XT/6600M Navi 23 [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 | 288,351 | 64,010 | 4.50 | 5 hrs 20 mins |
| 22 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 156,018 | 48,108 | 3.24 | 7 hrs 24 mins |
| 23 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 94,117 | 43,933 | 2.14 | 11 hrs 12 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Sunday, 22 May 2022 15:22:31
|
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.