PROJECT #19002 RESEARCH FOR CANNABINOID
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Cannabinoid Receptors The endocannabinoid signaling system consists of receptors (Cannabinoid Receptors; CB1 and CB2), endogeneous molecules (Endocannabinoids; 2-AG, Anandamide), and enzymes.
Endocannabinoids are produced in postsynaptic neurons and bind to Cannabinoid Receptors to maintain homeostasis in neuron signaling and a plethora of physiological processes.
These receptors are targeted for pain, obesity, and other central nervous system disorders.
Endocannabinoids show more than 10-fold selectivity towards CB1 compared to CB2.
Therefore, a mechanistic understanding of endocannabinoid selectivity will help us design selective therapeutics.
In this project, we are running binding simulation of anandmide to CB1 and CB2 to decipher ligand selectivity..
PROJECT INFO
Manager(s): Soumajit Dutta
Institution: University of Illinois Urbana-Champaign
Project URL: shuklagroup.org/
PROJECT WORK UNIT SUMMARY
Atoms: 98,432
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 16 May 2022 12:52:29
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 | 8,504,756 | 174,931 | 48.62 | 0 hrs 30 mins |
2 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,429,384 | 165,584 | 44.87 | 1 hrs 32 mins |
3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,709,514 | 161,290 | 41.60 | 1 hrs 35 mins |
4 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,676,697 | 142,272 | 32.87 | 1 hrs 44 mins |
5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,522,465 | 141,141 | 32.04 | 1 hrs 45 mins |
6 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 4,495,810 | 140,117 | 32.09 | 1 hrs 45 mins |
7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,157,352 | 136,983 | 30.35 | 1 hrs 47 mins |
8 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,471,119 | 128,362 | 27.04 | 1 hrs 53 mins |
9 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,844,240 | 122,837 | 23.15 | 1 hrs 2 mins |
10 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,432,958 | 113,292 | 21.48 | 1 hrs 7 mins |
11 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,103,404 | 109,809 | 19.16 | 1 hrs 15 mins |
12 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,767,272 | 91,548 | 19.30 | 1 hrs 15 mins |
13 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,535,474 | 98,526 | 15.58 | 2 hrs 32 mins |
14 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,130,454 | 88,183 | 12.82 | 2 hrs 52 mins |
15 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 616,614 | 73,903 | 8.34 | 3 hrs 53 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 16 May 2022 12:52:29
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|
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