PROJECT #19012 RESEARCH FOR CANNABINOID
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Cannabinoid Receptors Cannabinoid receptors (CBs) are part of the endocannabinoid signaling system, which help to maintain homeostasis in neuron signaling to control pain, obesity, and other neurological disorders.
Therefore, synthetic cannabinoids (SCs) were designed and tested to target CBs as potential therapeutical selective drugs.
Initially, SCs were designed by modulating the scaffolds of known phytocannabinoids.
However, chemically diverse synthetic cannabinoids (Novel Psychoactive Substance (NPS)) were
discovered rapidly, which have a high affinity towards CBs and significantly modulate the receptor activities.
These molecules were started to get sold in the market as abusive drugs under different brand names (e.g., K2, spice) and caused thousands of hospitalizations of patients across the US due to more adverse effects, including impairment of fine motor skills and increased blood pressure, tachycardia.
It is hypothesized that β-arrestin biased downstream signaling of these NPSs causes more adversarial effects compared to classical cannabinoids.
However, how these classical and non-classical cannabinoids affect receptor conformational dynamics distinctly,
has not been mechanistically studied.
In this project, we compare the unbinding mechanism and kinetics of a non-classical cannabinoid, MDMB-Fubinaca, and a classical cannabinoid, HU-210, using biased and unbiased simulation..
PROJECT INFO
Manager(s): Soumajit Dutta
Institution: University of Illinois Urbana-Champaign
Project URL: shuklagroup.org/
PROJECT WORK UNIT SUMMARY
Atoms: 90,246
Core: 0x22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Saturday, 25 March 2023 00:15:10
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 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 8,180,583 | 278,858 | 29.34 | 0 hrs 49 mins |
2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,951,799 | 264,684 | 26.26 | 0 hrs 55 mins |
3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,337,949 | 256,328 | 24.73 | 0 hrs 58 mins |
4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,655,070 | 243,386 | 23.23 | 1 hrs 2 mins |
5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,605,517 | 231,249 | 19.92 | 1 hrs 12 mins |
6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,371,785 | 226,956 | 19.26 | 1 hrs 15 mins |
7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,273,301 | 225,871 | 18.92 | 1 hrs 16 mins |
8 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,056,230 | 220,076 | 18.43 | 1 hrs 18 mins |
9 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,797,186 | 215,461 | 17.62 | 1 hrs 22 mins |
10 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,813,646 | 188,942 | 14.89 | 2 hrs 37 mins |
11 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,287,232 | 183,428 | 12.47 | 2 hrs 55 mins |
12 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,994,681 | 175,124 | 11.39 | 2 hrs 6 mins |
13 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,966,006 | 174,583 | 11.26 | 2 hrs 8 mins |
14 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,651,648 | 154,265 | 10.71 | 2 hrs 14 mins |
15 | GeForce RTX 2070 SUPER Mobile / Max-Q TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 1,483,060 | 159,464 | 9.30 | 3 hrs 35 mins |
16 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,416,935 | 161,227 | 8.79 | 3 hrs 44 mins |
17 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,416,102 | 152,839 | 9.27 | 3 hrs 35 mins |
18 | Tesla P100 16GB GP100GL [Tesla P100 16GB] 9340 |
Nvidia | GP100GL | 1,387,860 | 124,155 | 11.18 | 2 hrs 9 mins |
19 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,313,491 | 151,917 | 8.65 | 3 hrs 47 mins |
20 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,308,351 | 150,521 | 8.69 | 3 hrs 46 mins |
21 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,254,696 | 147,773 | 8.49 | 3 hrs 50 mins |
22 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,172,940 | 140,447 | 8.35 | 3 hrs 52 mins |
23 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,077,953 | 141,799 | 7.60 | 3 hrs 9 mins |
24 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 892,182 | 134,009 | 6.66 | 4 hrs 36 mins |
25 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 824,556 | 126,842 | 6.50 | 4 hrs 42 mins |
26 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 767,043 | 128,406 | 5.97 | 4 hrs 1 mins |
27 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 711,633 | 124,103 | 5.73 | 4 hrs 11 mins |
28 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 631,011 | 112,503 | 5.61 | 4 hrs 17 mins |
29 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 615,593 | 119,080 | 5.17 | 5 hrs 39 mins |
30 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 503,331 | 114,521 | 4.40 | 5 hrs 28 mins |
31 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 487,744 | 107,220 | 4.55 | 5 hrs 17 mins |
32 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 271,915 | 80,615 | 3.37 | 7 hrs 7 mins |
33 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 256,061 | 88,493 | 2.89 | 8 hrs 18 mins |
34 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 209,767 | 90,117 | 2.33 | 10 hrs 19 mins |
35 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 203,707 | 82,448 | 2.47 | 10 hrs 43 mins |
36 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 71,219 | 58,049 | 1.23 | 20 hrs 34 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Saturday, 25 March 2023 00:15:10
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|