RESEARCH: SUCROSE-TRANSPORTER-ATSUC1
FOLDING PROJECT #17950 PROFILE
PROJECT TEAM
Manager(s): Arnav PaulInstitution: University of Illinois
WORK UNIT INFO
Atoms: 93,950Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to AtSUC1, a plant protein that moves sugar (sucrose) where it's needed most, like roots and flowers. Understanding how this works could help us create crops with more nutrients!
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
AtSUC1 is a plant sucrose transporter protein that actively loads sucrose in regions of higher concentrations, like roots and flowers.
Studying the mechanism of active transport of sucrose will help us design better crops with higher nutritional content.
RELATED TERMS GLOSSARY AI BETA
AtSUC1
Arabidopsis Sucrose Transporter 1
AtSUC1 is a protein found in plants that moves sugar (sucrose) from areas of high concentration to low concentration. This process is important for plant growth and development, as sugar provides energy for various cellular functions.
Sucrose
A disaccharide sugar composed of glucose and fructose.
Sucrose is a type of sugar that plants produce during photosynthesis. It's the primary form of sugar transported within plants, providing energy to various tissues and organs.
Transporter
A protein that moves molecules across a cell membrane.
Transporters are essential for cells to regulate the movement of substances in and out. They can move various types of molecules, including nutrients, ions, and waste products.
Active Transport
The movement of molecules across a cell membrane against their concentration gradient.
Active transport requires energy to move molecules from an area of low concentration to an area of high concentration. This process is crucial for cells to maintain specific concentrations of substances.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:33:32|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 22,593,580 | 161,228 | 140.13 | 0 hrs 10 mins |
| 2 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 19,103,405 | 24,900 | 767.21 | 0 hrs 2 mins |
| 3 | GeForce RTX 5090 GB202 [GeForce RTX 5090] |
Nvidia | GB202 | 15,197,785 | 24,900 | 610.35 | 0 hrs 2 mins |
| 4 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 15,141,667 | 171,754 | 88.16 | 0 hrs 16 mins |
| 5 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 14,843,770 | 78,043 | 190.20 | 0 hrs 8 mins |
| 6 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 13,108,391 | 114,268 | 114.72 | 0 hrs 13 mins |
| 7 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,896,829 | 169,250 | 70.29 | 0 hrs 20 mins |
| 8 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 11,047,002 | 117,261 | 94.21 | 0 hrs 15 mins |
| 9 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 9,480,039 | 24,900 | 380.72 | 0 hrs 4 mins |
| 10 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 9,477,986 | 24,900 | 380.64 | 0 hrs 4 mins |
| 11 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 9,132,554 | 24,900 | 366.77 | 0 hrs 4 mins |
| 12 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,996,170 | 56,121 | 160.30 | 0 hrs 9 mins |
| 13 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,259,603 | 47,606 | 173.50 | 0 hrs 8 mins |
| 14 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 7,419,775 | 24,900 | 297.98 | 0 hrs 5 mins |
| 15 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 6,613,095 | 24,900 | 265.59 | 0 hrs 5 mins |
| 16 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,584,729 | 24,900 | 264.45 | 0 hrs 5 mins |
| 17 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,063,346 | 39,049 | 155.28 | 0 hrs 9 mins |
| 18 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,465,589 | 24,900 | 219.50 | 0 hrs 7 mins |
| 19 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,402,557 | 106,121 | 50.91 | 0 hrs 28 mins |
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|||||||
| 20 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,998,330 | 84,787 | 58.95 | 0 hrs 24 mins |
| 21 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,797,757 | 161,599 | 29.69 | 0 hrs 49 mins |
| 22 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 4,265,678 | 24,900 | 171.31 | 0 hrs 8 mins |
| 23 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,797,651 | 24,900 | 152.52 | 0 hrs 9 mins |
| 24 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,519,712 | 24,900 | 141.35 | 0 hrs 10 mins |
| 25 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 3,369,407 | 24,900 | 135.32 | 0 hrs 11 mins |
| 26 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,367,576 | 143,827 | 23.41 | 1 hrs 2 mins |
| 27 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,198,968 | 24,900 | 128.47 | 0 hrs 11 mins |
| 28 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,899,731 | 48,267 | 60.08 | 0 hrs 24 mins |
| 29 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 Super] |
Nvidia | TU106 | 2,618,827 | 95,705 | 27.36 | 0 hrs 53 mins |
| 30 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,569,567 | 36,372 | 70.65 | 0 hrs 20 mins |
| 31 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,559,251 | 24,900 | 102.78 | 0 hrs 14 mins |
| 32 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,497,482 | 24,900 | 100.30 | 0 hrs 14 mins |
| 33 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,271,613 | 106,656 | 21.30 | 1 hrs 8 mins |
| 34 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,251,294 | 24,900 | 90.41 | 0 hrs 16 mins |
| 35 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,053,536 | 24,900 | 82.47 | 0 hrs 17 mins |
| 36 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,022,045 | 139,338 | 14.51 | 1 hrs 39 mins |
| 37 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,878,064 | 24,900 | 75.42 | 0 hrs 19 mins |
| 38 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,653,702 | 108,997 | 15.17 | 1 hrs 35 mins |
| 39 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,266,399 | 24,900 | 50.86 | 0 hrs 28 mins |
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|
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| 40 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,098,157 | 24,900 | 44.10 | 0 hrs 33 mins |
| 41 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,010,724 | 68,342 | 14.79 | 1 hrs 37 mins |
| 42 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 969,861 | 24,900 | 38.95 | 0 hrs 37 mins |
| 43 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 874,327 | 24,900 | 35.11 | 0 hrs 41 mins |
| 44 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 739,134 | 24,900 | 29.68 | 0 hrs 49 mins |
| 45 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 717,793 | 86,604 | 8.29 | 2 hrs 54 mins |
| 46 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 498,742 | 24,900 | 20.03 | 1 hrs 12 mins |
| 47 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 396,401 | 71,173 | 5.57 | 4 hrs 19 mins |
| 48 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 339,592 | 24,900 | 13.64 | 1 hrs 46 mins |
| 49 | Radeon PRO W6400 Navi 24 [Radeon PRO W6400] |
AMD | Navi 24 | 287,375 | 24,900 | 11.54 | 2 hrs 5 mins |
| 50 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 256,398 | 24,900 | 10.30 | 2 hrs 20 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:33:32|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|