RESEARCH: NOREPINEPHRINE-TRANSPORTER-FUNCTION
FOLDING PROJECT #15002 PROFILE
PROJECT TEAM
Manager(s): Nathan TvedtInstitution: University of Illinois at Urbana Champaign
WORK UNIT INFO
Atoms: 211,416Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to the norepinephrine transporter (NET), a protein that controls how much of a brain chemical called norepinephrine is available. NET affects things like attention, mood, and heart rate. Problems with NET are linked to conditions like depression and ADHD. Many medicines target NET to treat these issues.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
The norepinephrine transporter (NET) regulates synaptic norepinephrine levels by reuptake into presynaptic neurons.
NET influences many functions of the nervous system including attention, arousal, stress responses, and cardiovascular regulation.
Dysregulation of NET has been implicated in psychiatric and neurological disorders such as depression, ADHD, anxiety, and Parkinson’s disease.
NET is also a major drug target for antidepressants, ADHD medication, and drugs of abuse.
Understanding NET mechanisms provides insight into many diseases and guides development of targeted therapies and treatments.
RELATED TERMS GLOSSARY AI BETA
norepinephrine transporter
A protein that transports norepinephrine back into presynaptic neurons.
The norepinephrine transporter (NET) is a vital protein that regulates the levels of norepinephrine in synapses. It does this by reabsorbing norepinephrine from the space between neurons back into the neuron that released it. This process is crucial for maintaining proper communication within the nervous system and influencing various functions like attention, mood, stress response, and heart rate. Disruptions in NET function are linked to several neurological and psychiatric disorders such as depression, ADHD, anxiety, and Parkinson's disease. Therefore, understanding how NET works is essential for developing effective treatments for these conditions.
NET
Norepinephrine Transporter
NET stands for Norepinephrine Transporter. It's a protein found in nerve cells that plays a crucial role in regulating norepinephrine levels in the brain.
presynaptic neurons
Neurons that release neurotransmitters.
Presynaptic neurons are nerve cells that send signals to other nerve cells by releasing chemicals called neurotransmitters. These neurotransmitters cross a tiny gap (synapse) and bind to receptors on the receiving neuron (postsynaptic neuron), transmitting the signal.
neurotransmitters
Chemical messengers that transmit signals between neurons.
Neurotransmitters are specialized chemical messengers that allow nerve cells (neurons) to communicate with each other. They travel across a small gap called a synapse and bind to receptors on the receiving neuron, triggering various responses.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:32:18|
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 5090 GB202 [GeForce RTX 5090] |
Nvidia | GB202 | 38,042,902 | 118,480 | 321.09 | 0 hrs 4 mins |
| 2 | B200 GB100 [B200] |
Nvidia | GB100 | 29,578,871 | 118,480 | 249.65 | 0 hrs 6 mins |
| 3 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 23,451,018 | 402,687 | 58.24 | 0 hrs 25 mins |
| 4 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 17,154,164 | 494,780 | 34.67 | 0 hrs 42 mins |
| 5 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 16,125,009 | 279,739 | 57.64 | 0 hrs 25 mins |
| 6 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 15,265,620 | 118,480 | 128.85 | 0 hrs 11 mins |
| 7 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 12,526,411 | 157,237 | 79.67 | 0 hrs 18 mins |
| 8 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 11,045,786 | 118,480 | 93.23 | 0 hrs 15 mins |
| 9 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,006,238 | 545,012 | 20.19 | 1 hrs 11 mins |
| 10 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,210,691 | 190,633 | 53.56 | 0 hrs 27 mins |
| 11 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 10,177,791 | 881,315 | 11.55 | 2 hrs 5 mins |
| 12 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,839,150 | 355,659 | 27.66 | 0 hrs 52 mins |
| 13 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 8,760,807 | 118,480 | 73.94 | 0 hrs 19 mins |
| 14 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,478,050 | 437,872 | 17.08 | 1 hrs 24 mins |
| 15 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,353,115 | 169,174 | 37.55 | 0 hrs 38 mins |
| 16 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 5,995,863 | 118,480 | 50.61 | 0 hrs 28 mins |
| 17 | Tesla V100 PCIe 16GB GV100GL [Tesla V100 PCIe 16GB] M 14028 |
Nvidia | GV100GL | 5,710,731 | 118,480 | 48.20 | 0 hrs 30 mins |
| 18 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,667,999 | 118,480 | 47.84 | 0 hrs 30 mins |
| 19 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,612,984 | 489,072 | 11.48 | 2 hrs 5 mins |
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| 20 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,470,878 | 272,687 | 20.06 | 1 hrs 12 mins |
| 21 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,066,826 | 118,480 | 42.77 | 0 hrs 34 mins |
| 22 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,646,754 | 320,967 | 14.48 | 1 hrs 39 mins |
| 23 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 4,577,757 | 118,480 | 38.64 | 0 hrs 37 mins |
| 24 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 4,192,775 | 188,438 | 22.25 | 1 hrs 5 mins |
| 25 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,517,697 | 118,480 | 29.69 | 0 hrs 49 mins |
| 26 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 3,200,559 | 608,944 | 5.26 | 4 hrs 34 mins |
| 27 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 3,126,610 | 399,899 | 7.82 | 3 hrs 4 mins |
| 28 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,083,834 | 397,155 | 7.76 | 3 hrs 5 mins |
| 29 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,029,601 | 122,666 | 24.70 | 0 hrs 58 mins |
| 30 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,904,997 | 392,371 | 7.40 | 3 hrs 14 mins |
| 31 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,766,466 | 118,480 | 23.35 | 1 hrs 2 mins |
| 32 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,612,245 | 207,641 | 12.58 | 1 hrs 54 mins |
| 33 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 2,543,993 | 118,480 | 21.47 | 1 hrs 7 mins |
| 34 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,356,373 | 118,480 | 19.89 | 1 hrs 12 mins |
| 35 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,120,445 | 353,604 | 6.00 | 4 hrs 0 mins |
| 36 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,035,314 | 348,389 | 5.84 | 4 hrs 6 mins |
| 37 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,986,366 | 118,480 | 16.77 | 1 hrs 26 mins |
| 38 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,693,632 | 118,480 | 14.29 | 1 hrs 41 mins |
| 39 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,401,765 | 118,480 | 11.83 | 2 hrs 2 mins |
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| 40 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,390,899 | 118,480 | 11.74 | 2 hrs 3 mins |
| 41 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,312,659 | 118,480 | 11.08 | 2 hrs 10 mins |
| 42 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,310,227 | 118,480 | 11.06 | 2 hrs 10 mins |
| 43 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,139,948 | 118,480 | 9.62 | 2 hrs 30 mins |
| 44 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,089,635 | 283,786 | 3.84 | 6 hrs 15 mins |
| 45 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,051,130 | 296,305 | 3.55 | 6 hrs 46 mins |
| 46 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 610,527 | 118,480 | 5.15 | 4 hrs 39 mins |
| 47 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 567,325 | 118,480 | 4.79 | 5 hrs 1 mins |
| 48 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 291,755 | 118,480 | 2.46 | 9 hrs 45 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:32:18|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|