Folding project #17950, SUCROSE-TRANSPORTER-ATSUC1 research

Research section Research projects and references

Project #17950 overview

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!

Automated summary; simplified and may not be fully accurate.

Project team

Manager(s): Arnav Paul
Institution: University of Illinois

Work unit

Atoms: 93,950
Core: 0x27
Status: Public

Source material

Official 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.

Reading reference

Related Terms Glossary AI Beta

Automated high-level definitions; simplified and may not be fully accurate.

AtSUC1

Arabidopsis Sucrose Transporter 1

Protein: AgriculturePlant Biology / Sugar Transport

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.

Carbohydrate: AgriculturePlant Biology / Sugar Transport

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.

Protein: BiotechnologyBiology / Cellular Transport

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.

Process: BiotechnologyBiology / Cellular Transport

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.

GPU PPD Averages

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

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 Mobile TU106M [GeForce RTX 2060 Mobile]	Nvidia	TU106M	1,878,064	24,900	75.42	0 ^hrs 19 ^mins
37	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	1,653,702	108,997	15.17	1 ^hrs 35 ^mins
38	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,266,399	24,900	50.86	0 ^hrs 28 ^mins
39	P104-100 GP104 [P104-100]	Nvidia	GP104	1,098,157	24,900	44.10	0 ^hrs 33 ^mins

40	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,010,724	68,342	14.79	1 ^hrs 37 ^mins
41	GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463	Nvidia	GP104BM	969,861	24,900	38.95	0 ^hrs 37 ^mins
42	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	874,327	24,900	35.11	0 ^hrs 41 ^mins
43	GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB]	Nvidia	GA107	739,134	24,900	29.68	0 ^hrs 49 ^mins
44	Tesla P4 GP104GL [Tesla P4] 5704	Nvidia	GP104GL	717,793	86,604	8.29	2 ^hrs 54 ^mins
45	GeForce GTX 1650 TU117 [GeForce GTX 1650]	Nvidia	TU117	498,742	24,900	20.03	1 ^hrs 12 ^mins
46	Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile]	Nvidia	TU117GLM	396,401	71,173	5.57	4 ^hrs 19 ^mins
47	GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862	Nvidia	GP107	339,592	24,900	13.64	1 ^hrs 46 ^mins
48	Radeon PRO W6400 Navi 24 [Radeon PRO W6400]	AMD	Navi 24	287,375	24,900	11.54	2 ^hrs 5 ^mins
49	GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138	Nvidia	GP107	256,398	24,900	10.30	2 ^hrs 20 ^mins

Research: SUCROSE-TRANSPORTER-ATSUC1 Folding Project #17950

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 17950

GPU PPD Averages

Research: SUCROSE-TRANSPORTER-ATSUC1 Folding Project #17950

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages