Research section Research projects and references

Research: ATGPA1-POST-TRANSLATIONAL-MODIFICATIONS Folding Project #15241

Project #15241 overview

Project Summary AI Beta

This project looks at how tiny chemical changes affect a protein called AtGPA1 found in plants. AtGPA1 helps plants grow and respond to their environment. By making specific changes to AtGPA1, researchers can learn how these changes impact the protein's shape and how it interacts 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
363,362
Core
0x27
Status
Beta
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 15241

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

Data as of Thursday, 20 August 2026 18:37:57

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 40,623,108 407,383 99.72 0 hrs 14 mins
2 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 28,646,474 407,383 70.32 0 hrs 20 mins
3 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 20,644,262 407,383 50.68 0 hrs 28 mins
4 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 17,600,594 2,181,511 8.07 2 hrs 58 mins
5 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 16,708,490 2,172,655 7.69 3 hrs 7 mins
6 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 13,586,477 728,452 18.65 1 hrs 17 mins
7 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 13,368,946 407,383 32.82 0 hrs 44 mins
8 RTX PRO 4000 Blackwell
GB203GL [RTX PRO 4000 Blackwell]
Unknown GB203GL 10,769,438 407,383 26.44 0 hrs 54 mins
9 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,657,605 407,383 13.89 1 hrs 44 mins
10 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,692,359 1,436,917 3.27 7 hrs 21 mins
11 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 4,686,820 407,383 11.50 2 hrs 5 mins
12 GeForce RTX 5060
GB206 [GeForce RTX 5060]
Nvidia GB206 4,685,311 407,383 11.50 2 hrs 5 mins
13 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 3,759,842 407,383 9.23 2 hrs 36 mins
14 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,494,374 407,383 8.58 2 hrs 48 mins
15 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 3,383,732 407,383 8.31 2 hrs 53 mins
16 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,139,107 407,383 7.71 3 hrs 7 mins
17 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,237,551 407,383 5.49 4 hrs 22 mins