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Research: VIOLAXANTHIN-DEEPOXIDASE-STRUCTURE Folding Project #19332

Project #19332 overview

Project Summary AI Beta

Plants change how they make food (photosynthesis) when light levels change. A process called the xanthophyll cycle helps with this, using an enzyme called VDE to turn violaxanthin into zeaxanthin in bright light. This protects plants from excess energy and damage. The project relates to how VDE works at different pH levels, showing that it changes shape and becomes more active in acidic conditions.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Rabindranath Paul
Institution
University of Illinois at Urbana-Champaign

Work unit

Atoms
179,519
Core
0x22
Status
Public
Source material

Official Project Description

To adapt to shifting lighting conditions, plants modify their photosynthetic activity.

The xanthophyll cycle, in which the carotenoid violaxanthin is transformed into zeaxanthin in strong light, plays a key role in controlling photosynthesis.

This process activates the disposal of excess absorbed energy as heat and the scavenging of reactive oxygen species.

When photosynthetic electron transport exceeds the capacity of assimilatory reactions, violaxanthin deepoxidase (VDE), the enzyme responsible for zeaxanthin synthesis, is activated by the acidification of the thylakoid lumen.

At neutral pH, VDE is a soluble and inactive enzyme, but at acidic pH, it attaches to the thylakoid membrane where it binds its substrate.

Ascorbate is used by VDE as a cosubstrate as well, and its pH-dependent Km may indicate a preference for ascorbic acid.

At neutral and acidic pH, we established the structures of the central lipocalin domain of VDE (VDEcd).

VDEcd is monomeric and has its active site blocked by a lipocalin barrel at neutral pH.

The barrel unwinds and the enzyme emerges as a dimer during acidification.

The two violaxanthin beta-ionone rings may be deep oxidized simultaneously in two channels that connect the two active sites of the dimer, giving VDE an ideal example of an asymmetric enzyme's adaptation to its symmetric substrate.

Performance data

Hardware Performance for Project 19332

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Sunday, 02 August 2026 21:48:36

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 15,939,174 283,705 56.18 0 hrs 26 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 13,306,179 267,130 49.81 0 hrs 29 mins
3 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 9,758,259 239,886 40.68 0 hrs 35 mins
4 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 9,600,521 239,500 40.09 0 hrs 36 mins
5 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 8,286,893 228,848 36.21 0 hrs 40 mins
6 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 6,994,411 218,062 32.08 0 hrs 45 mins
7 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,783,391 213,611 31.76 0 hrs 45 mins
8 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 6,536,930 211,597 30.89 0 hrs 47 mins
9 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,406,669 210,516 30.43 0 hrs 47 mins
10 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 6,117,023 205,161 29.82 0 hrs 48 mins
11 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,384,969 199,168 27.04 0 hrs 53 mins
12 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,755,155 190,759 24.93 0 hrs 58 mins
13 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 4,709,667 186,989 25.19 0 hrs 57 mins
14 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 4,646,733 189,543 24.52 0 hrs 59 mins
15 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,563,591 189,191 24.12 0 hrs 60 mins
16 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 3,510,573 172,175 20.39 1 hrs 11 mins
17 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,458,545 171,272 20.19 1 hrs 11 mins
18 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,429,908 170,952 20.06 1 hrs 12 mins
19 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,055,731 164,464 18.58 1 hrs 18 mins
20 RTX A4000
GA104GL [RTX A4000]
Nvidia GA104GL 3,028,861 164,061 18.46 1 hrs 18 mins
21 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,993,649 163,358 18.33 1 hrs 19 mins
22 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,305,631 150,851 15.28 1 hrs 34 mins
23 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,226,322 148,260 15.02 1 hrs 36 mins
24 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,058,310 144,083 14.29 1 hrs 41 mins
25 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,430,889 126,830 11.28 2 hrs 8 mins
26 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,245,096 122,229 10.19 2 hrs 21 mins
27 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 1,145,473 118,714 9.65 2 hrs 29 mins
28 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,132,089 118,509 9.55 2 hrs 31 mins
29 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 949,645 111,451 8.52 2 hrs 49 mins
30 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 890,481 109,856 8.11 2 hrs 58 mins
31 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 837,327 107,240 7.81 3 hrs 4 mins
32 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 108,442 54,314 2.00 12 hrs 1 mins