PROJECT #17921 RESEARCH FOR MEMBRANE TRANSPORT
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Membrane transporters are important for enabling molecules to go in and out of cells.
What is interesting is that while transporters typically have set functions, they can also transport molecules that do not necessarily relate to their function or cellular purpose.
For example, drugs often hijack transporters to enter cells without necessarily resembling the molecules or metabolites which that target transporter normally transports.
The goal of this project is to see how exactly a typical membrane transporter recognizes and transports molecules that look different from one another.
We choose a class of sugar transporters that transports a variety of different types of substrates to satisfy this goal.
Findings from this study can be generalized for the design of molecules (e.g., drugs) specific to a given transporter and its general mechanism..
PROJECT INFO
Manager(s): Austin Weigle
Institution: University of Illinois at Urbana-Champaign
Project URL: https://shuklagroup.org/
PROJECT WORK UNIT SUMMARY
Atoms: 65,919
Core: 0x22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 20 March 2023 06:14:53
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 14,323,714 | 340,215 | 42.10 | 0 hrs 34 mins |
2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 13,196,224 | 337,701 | 39.08 | 0 hrs 37 mins |
3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,729,003 | 302,913 | 32.12 | 0 hrs 45 mins |
4 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,491,229 | 277,226 | 27.02 | 0 hrs 53 mins |
5 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,049,319 | 268,046 | 26.30 | 0 hrs 55 mins |
6 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,008,714 | 273,606 | 25.62 | 0 hrs 56 mins |
7 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 5,924,044 | 252,855 | 23.43 | 1 hrs 1 mins |
8 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,309,578 | 249,503 | 21.28 | 1 hrs 8 mins |
9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,254,309 | 249,646 | 21.05 | 1 hrs 8 mins |
10 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,920,485 | 243,541 | 20.20 | 1 hrs 11 mins |
11 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,910,356 | 243,412 | 20.17 | 1 hrs 11 mins |
12 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,713,651 | 240,003 | 19.64 | 1 hrs 13 mins |
13 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,508,412 | 235,620 | 19.13 | 1 hrs 15 mins |
14 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,060,087 | 207,125 | 14.77 | 2 hrs 37 mins |
15 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,056,701 | 203,942 | 14.99 | 2 hrs 36 mins |
16 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,998,052 | 205,595 | 14.58 | 2 hrs 39 mins |
17 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,569,324 | 196,057 | 13.10 | 2 hrs 50 mins |
18 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,524,975 | 193,872 | 13.02 | 2 hrs 51 mins |
19 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,242,192 | 187,645 | 11.95 | 2 hrs 1 mins |
20 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,977,343 | 179,071 | 11.04 | 2 hrs 10 mins |
21 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,820,790 | 173,424 | 10.50 | 2 hrs 17 mins |
22 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,643,023 | 165,292 | 9.94 | 2 hrs 25 mins |
23 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,398,080 | 159,713 | 8.75 | 3 hrs 45 mins |
24 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,168,395 | 150,201 | 7.78 | 3 hrs 5 mins |
25 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,154,390 | 124,025 | 9.31 | 3 hrs 35 mins |
26 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,070,832 | 136,838 | 7.83 | 3 hrs 4 mins |
27 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 461,811 | 117,954 | 3.92 | 6 hrs 8 mins |
28 | Tesla K40m GK110 [Tesla K40m] 5046 |
Nvidia | GK110 | 215,982 | 92,533 | 2.33 | 10 hrs 17 mins |
29 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 193,954 | 78,476 | 2.47 | 10 hrs 43 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 20 March 2023 06:14:53
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|