PROJECT #14922 RESEARCH FOR DIABETES
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
G-Protein Coupled Receptors: G-Protein coupled receptors (GPCRs) are membrane proteins involved in the pathogenesis of diabetes, high blood pressure, osteoporosis, etc.
Here, we are trying to study the conformational dynamics of the Glucagon Receptor, Glucagon-like Peptide 1 receptor, PArathyroid Hormone Receptor, Pituitary Adenlyate Cyclase Receptor and Secretin Receptor - All Class B GPCRs.
These studies will help in designing better drugs that target these receptors.
PROJECT INFO
Manager(s): Prateek Bansal
Institution: University of Illinois Urbana-Champaign
PROJECT WORK UNIT SUMMARY
Atoms: 107,715
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 16 May 2022 12:52:36
|
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 | 7,111,556 | 138,898 | 51.20 | 0 hrs 28 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,631,215 | 134,137 | 49.44 | 0 hrs 29 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,020,843 | 132,574 | 45.41 | 1 hrs 32 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,489,787 | 128,484 | 42.73 | 1 hrs 34 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,878,003 | 124,231 | 39.27 | 1 hrs 37 mins |
| 6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,495,846 | 120,828 | 37.21 | 1 hrs 39 mins |
| 7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,470,504 | 120,479 | 37.11 | 1 hrs 39 mins |
| 8 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 4,181,836 | 118,504 | 35.29 | 1 hrs 41 mins |
| 9 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,980,843 | 116,672 | 34.12 | 1 hrs 42 mins |
| 10 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,728,579 | 111,045 | 33.58 | 1 hrs 43 mins |
| 11 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,273,389 | 109,072 | 30.01 | 1 hrs 48 mins |
| 12 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,896,925 | 101,982 | 28.41 | 1 hrs 51 mins |
| 13 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,582,539 | 101,256 | 25.51 | 1 hrs 56 mins |
| 14 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,480,303 | 99,736 | 24.87 | 1 hrs 58 mins |
| 15 | GeForce RTX 2070 SUPER Mobile / Max-Q TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 2,470,390 | 98,144 | 25.17 | 1 hrs 57 mins |
| 16 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,305,558 | 96,728 | 23.84 | 1 hrs 0 mins |
| 17 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,220,663 | 95,098 | 23.35 | 1 hrs 2 mins |
| 18 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,216,321 | 95,924 | 23.10 | 1 hrs 2 mins |
| 19 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,961,498 | 91,901 | 21.34 | 1 hrs 7 mins |
| 20 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,940,636 | 85,977 | 22.57 | 1 hrs 4 mins |
| 21 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,761,995 | 89,500 | 19.69 | 1 hrs 13 mins |
| 22 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,521,719 | 85,062 | 17.89 | 1 hrs 20 mins |
| 23 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,309,877 | 80,761 | 16.22 | 1 hrs 29 mins |
| 24 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,306,298 | 80,385 | 16.25 | 1 hrs 29 mins |
| 25 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,123,451 | 76,178 | 14.75 | 2 hrs 38 mins |
| 26 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 858,406 | 69,535 | 12.34 | 2 hrs 57 mins |
| 27 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 789,767 | 58,131 | 13.59 | 2 hrs 46 mins |
| 28 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 770,248 | 67,527 | 11.41 | 2 hrs 6 mins |
| 29 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 709,139 | 63,789 | 11.12 | 2 hrs 10 mins |
| 30 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 685,985 | 65,100 | 10.54 | 2 hrs 17 mins |
| 31 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 680,554 | 64,870 | 10.49 | 2 hrs 17 mins |
| 32 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 608,115 | 61,992 | 9.81 | 2 hrs 27 mins |
| 33 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 586,817 | 61,127 | 9.60 | 3 hrs 30 mins |
| 34 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 585,277 | 62,045 | 9.43 | 3 hrs 33 mins |
| 35 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 513,231 | 58,716 | 8.74 | 3 hrs 45 mins |
| 36 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 300,397 | 49,215 | 6.10 | 4 hrs 56 mins |
| 37 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 219,604 | 43,977 | 4.99 | 5 hrs 48 mins |
| 38 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 152,958 | 39,425 | 3.88 | 6 hrs 11 mins |
| 39 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 129,104 | 37,246 | 3.47 | 7 hrs 55 mins |
| 40 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 105,818 | 34,951 | 3.03 | 8 hrs 56 mins |
| 41 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 27,128 | 22,084 | 1.23 | 20 hrs 32 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 16 May 2022 12:52:36
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
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