Research section Research projects and references

Research: ATGPA1-POST-TRANSLATIONAL-MODIFICATION-DYNAMICS Folding Project #15239

Project #15239 overview

Project Summary AI Beta

AtGPA1 is a protein in plants that helps them grow and respond to their environment. The project relates to figuring out how chemical changes on AtGPA1 affect how it works with other proteins.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Eric Giavedoni
Institution
University of Illinois at Urbana-Champaign

Work unit

Atoms
501,635
Core
0x27
Status
Public
Source material

Official Project Description

AtGPA1 is Arabidopsis thaliana's alpha subunit of the G-protein signaling complex, responsible for signaling cell proliferation, regulating environmental responses, and sensing sugar availability.

Being a self-activating G-protein that likely doesn't require a GPCR, its signaling mechanism is unique compared to metazoan G-protein signaling cascades, and as such is an unexplored domain in the larger G-protein signaling landscape. Post-translational modifications (PTMs) are covalent modifications to proteins that include phosphorylation, glycosylation, oxidation, nitrosylation, and even full protein additions such as ubiquitination and SUMOylation.

These PTMs may be important to the GTP hydrolysis activity of AtGPA1, but may also be important in stabilizing the complex between AtGPA1 and its partner proteins, including the the rest of the G-protein subunits (AtAGB1 & AtAGG1) and the Regulator of G-protein Signaling (AtRGS).

Performing atomistic simulations with various mutations that abolish the various PTMs present in AtGPA1 complexes will allow us to further our understanding of the role of these PTMs in its conformational dynamics and complex stability.

Performance data

Hardware Performance for Project 15239

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

Data as of Thursday, 20 August 2026 18:37:59

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 5090
GB202 [GeForce RTX 5090]
Nvidia GB202 46,854,562 642,883 72.88 0 hrs 20 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 25,530,799 1,185,663 21.53 1 hrs 7 mins
3 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 19,784,473 642,883 30.77 0 hrs 47 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,310,920 1,196,453 13.63 1 hrs 46 mins
5 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 12,774,347 864,715 14.77 1 hrs 37 mins
6 RTX PRO 4000 Blackwell
GB203GL [RTX PRO 4000 Blackwell]
Unknown GB203GL 7,600,606 642,883 11.82 2 hrs 2 mins
7 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 6,519,754 642,883 10.14 2 hrs 22 mins
8 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 5,994,507 642,883 9.32 2 hrs 34 mins
9 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,264,339 642,883 8.19 2 hrs 56 mins
10 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,024,935 642,883 7.82 3 hrs 4 mins
11 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,343,630 642,883 6.76 3 hrs 33 mins
12 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 3,761,992 642,883 5.85 4 hrs 6 mins
13 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 3,693,094 642,883 5.74 4 hrs 11 mins
14 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,563,284 642,883 5.54 4 hrs 20 mins
15 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 3,367,570 642,883 5.24 4 hrs 35 mins
16 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,103,087 642,883 4.83 4 hrs 58 mins
17 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,481,073 642,883 3.86 6 hrs 13 mins
18 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,156,537 642,883 3.35 7 hrs 9 mins