RESEARCH: PARKINSONS
FOLDING PROJECT #15103 PROFILE
PROJECT TEAM
Manager(s): Ning WangInstitution: University of Illinois Urbana-Champaign
WORK UNIT INFO
Atoms: 155,717Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to computer simulations of a protein called NET that helps clear the brain chemical noradrenaline. Understanding how NET works could lead to better antidepressants and painkillers.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
These projects involve simulations of the noradrenaline transporter (NET), a key protein responsible for terminating noradrenergic signaling by using sodium and chloride gradients to drive the reuptake of noradrenaline into presynaptic neurons.
NET is a crucial pharmacological target for numerous antidepressants and analgesics.
The aim of these simulations is to unravel the molecular mechanisms underlying noradrenaline transport, providing insights that could facilitate the design of more effective drugs.
RELATED TERMS GLOSSARY AI BETA
noradrenaline transporter
A protein that transports noradrenaline back into neurons.
The noradrenaline transporter (NET) is a crucial protein found in nerve cells. It helps regulate the levels of noradrenaline, a neurotransmitter involved in mood, attention, and pain perception. By reabsorbing noradrenaline from the synapse, NET terminates the signal between nerve cells. This process is important for maintaining proper brain function. Drugs that target NET are used to treat depression, anxiety, and chronic pain.
NET
Noradrenaline Transporter
NET stands for Noradrenaline Transporter. It's a protein that plays a vital role in regulating noradrenaline levels in the brain.
presynaptic neurons
Neurons that release neurotransmitters.
Presynaptic neurons are the nerve cells that send signals to other neurons. They contain tiny sacs called vesicles filled with neurotransmitters, which are chemical messengers. When an electrical signal reaches the presynaptic neuron, it triggers the release of these neurotransmitters into the synapse, a small gap between neurons.
sodium and chloride gradients
Differences in concentration of sodium and chloride ions across cell membranes.
Sodium and chloride gradients refer to the unequal distribution of these ions inside and outside of cells. These differences in concentration are crucial for various cellular processes, including nerve impulse transmission. Specialized proteins called ion channels and pumps help maintain these gradients.
antidepressants
Medications used to treat depression.
Antidepressants are a class of medications that help improve mood and reduce symptoms of depression. They work by affecting the levels of certain neurotransmitters in the brain, such as serotonin and norepinephrine.
analgesics
Medications that relieve pain.
Analgesics are medications used to treat pain. They work by interfering with the transmission of pain signals in the nervous system. Analgesics can be classified into different types, such as opioids, non-steroidal anti-inflammatory drugs (NSAIDs), and acetaminophen.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:32:15|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,568,491 | 190,429 | 29.24 | 0 hrs 49 mins |
| 2 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,082,682 | 139,969 | 36.31 | 0 hrs 40 mins |
| 3 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,694,056 | 268,864 | 13.74 | 1 hrs 45 mins |
| 4 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,778,216 | 176,250 | 15.76 | 1 hrs 31 mins |
| 5 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,443,616 | 81,426 | 30.01 | 0 hrs 48 mins |
| 6 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 2,369,853 | 231,964 | 10.22 | 2 hrs 21 mins |
| 7 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,335,629 | 59,595 | 39.19 | 0 hrs 37 mins |
| 8 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,272,432 | 170,137 | 13.36 | 1 hrs 48 mins |
| 9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,205,995 | 226,166 | 9.75 | 2 hrs 28 mins |
| 10 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,854,523 | 79,583 | 23.30 | 1 hrs 2 mins |
| 11 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,640,951 | 206,091 | 7.96 | 3 hrs 1 mins |
| 12 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,414,471 | 113,621 | 12.45 | 1 hrs 56 mins |
| 13 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,374,803 | 59,595 | 23.07 | 1 hrs 2 mins |
| 14 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,327,436 | 190,615 | 6.96 | 3 hrs 27 mins |
| 15 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,305,718 | 189,991 | 6.87 | 3 hrs 30 mins |
| 16 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,284,773 | 192,951 | 6.66 | 3 hrs 36 mins |
| 17 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,173,256 | 183,873 | 6.38 | 3 hrs 46 mins |
| 18 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,108,461 | 180,374 | 6.15 | 3 hrs 54 mins |
| 19 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,103,486 | 179,666 | 6.14 | 3 hrs 54 mins |
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| 20 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,080,905 | 112,835 | 9.58 | 2 hrs 30 mins |
| 21 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,076,273 | 66,081 | 16.29 | 1 hrs 28 mins |
| 22 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 973,391 | 59,595 | 16.33 | 1 hrs 28 mins |
| 23 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 874,301 | 59,595 | 14.67 | 1 hrs 38 mins |
| 24 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 720,816 | 156,776 | 4.60 | 5 hrs 13 mins |
| 25 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 698,603 | 59,595 | 11.72 | 2 hrs 3 mins |
| 26 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 663,913 | 151,872 | 4.37 | 5 hrs 29 mins |
| 27 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 638,345 | 59,595 | 10.71 | 2 hrs 14 mins |
| 28 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 597,543 | 59,595 | 10.03 | 2 hrs 24 mins |
| 29 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 508,675 | 59,595 | 8.54 | 2 hrs 49 mins |
| 30 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 508,064 | 128,643 | 3.95 | 6 hrs 5 mins |
| 31 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 463,202 | 59,595 | 7.77 | 3 hrs 5 mins |
| 32 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 267,907 | 59,595 | 4.50 | 5 hrs 20 mins |
| 33 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 238,284 | 95,783 | 2.49 | 9 hrs 39 mins |
| 34 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 197,227 | 78,927 | 2.50 | 9 hrs 36 mins |
| 35 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 131,832 | 59,595 | 2.21 | 10 hrs 51 mins |
| 36 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 121,879 | 86,614 | 1.41 | 17 hrs 3 mins |
| 37 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 77,041 | 69,668 | 1.11 | 21 hrs 42 mins |
| 38 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 73,427 | 59,595 | 1.23 | 19 hrs 29 mins |
| 39 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 51,656 | 59,595 | 0.87 | 27 hrs 41 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:32:15|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|