PROJECT #17901 RESEARCH FOR MEMBRANE TRANSPORT
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Measuring the Effects of Post-translational Modification on Membrane Transporter Function and Oligomerization: Membrane transporters possess terminal tails which can variably regulate their substrate recognition, gating dynamics, and oligomerization (see https://royalsocietypublishing.org/doi/full/10.1098/rsob.190083 for a review).
To reflect physiological conditions and satisfy the instantaneous demands of cells, these termini are known to be post-translationally modified (PTM).
PTMs, like phosphorylation, have been shown to regulate transporter function through allostery or direct local interactions, thus blocking transmembrane substrate import and/or export. Simulations in this project will be focused on studying how C-terminal phosphorylation affects oligomerization dynamics of a sugar transporter.
While a basic protein folding problem, understanding how PTMs affect transporter oligomerization, and oligomer dynamics, is critical for understanding biological regulations for basal transport activity.
This study's ability to observe how terminal PTMs may influence sugar transport dynamics has implications for studying cells in altered metabolic states..
PROJECT INFO
Manager(s): Austin Weigle
Institution: University of Illinois at Urbana-Champaign
Project URL: https://shuklagroup.org/
PROJECT WORK UNIT SUMMARY
Atoms: 179,534
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 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,553,528 | 352,984 | 27.07 | 1 hrs 53 mins |
2 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 8,438,597 | 341,841 | 24.69 | 1 hrs 58 mins |
3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,995,984 | 330,190 | 24.22 | 1 hrs 59 mins |
4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,491,169 | 295,486 | 18.58 | 1 hrs 17 mins |
5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,479,094 | 297,705 | 18.40 | 1 hrs 18 mins |
6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,264,288 | 290,228 | 18.14 | 1 hrs 19 mins |
7 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 5,195,387 | 290,601 | 17.88 | 1 hrs 21 mins |
8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 5,072,835 | 285,716 | 17.75 | 1 hrs 21 mins |
9 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 4,207,496 | 271,061 | 15.52 | 2 hrs 33 mins |
10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,223,972 | 247,264 | 13.04 | 2 hrs 50 mins |
11 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,062,575 | 244,520 | 12.52 | 2 hrs 55 mins |
12 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,663,301 | 232,381 | 11.46 | 2 hrs 6 mins |
13 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,039,057 | 210,070 | 9.71 | 2 hrs 28 mins |
14 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,681,339 | 179,839 | 9.35 | 3 hrs 34 mins |
15 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,527,372 | 192,850 | 7.92 | 3 hrs 2 mins |
16 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,270,049 | 182,224 | 6.97 | 3 hrs 27 mins |
17 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 945,522 | 162,860 | 5.81 | 4 hrs 8 mins |
18 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 777,542 | 153,719 | 5.06 | 5 hrs 45 mins |
19 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 529,547 | 135,867 | 3.90 | 6 hrs 9 mins |
20 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 362,570 | 120,042 | 3.02 | 8 hrs 57 mins |
21 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 310,805 | 113,836 | 2.73 | 9 hrs 47 mins |
22 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 160,215 | 91,364 | 1.75 | 14 hrs 41 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.