RESEARCH: MG2-ION-BINDING
FOLDING PROJECT #19304 PROFILE
PROJECT TEAM
Manager(s): Rabindranath PaulInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 125,890Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how Rubisco activase (Rca), a protein important for plant growth, uses energy from ATP to change shape and do its job. By using computer simulations, researchers will figure out how Rca binds to ATP and ADP, and which parts of the protein are most important for this process.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Atomistic insights into AAA+ protein superfamily ATPases Associated with diverse cellular Activities (AAA+) comprise a superfamily of proteins that perform a large variety of functions essential to cell physiology, including control of protein homeostasis, DNA replication, recombination, chromatin remodeling, ribosomal RNA processing, molecular targeting, organelle biogenesis, and membrane fusion.
Members of this superfamily are defined by the presence of what is termed the AAA+ domain containing the canonical Walker A and B motifs required for ATP binding and hydrolysis.
Typically, genomes encode approximately ten to several hundred AAA+ family members, each of which is thought to be adapted to specific functional niches that necessitate precise mechanisms of substrate recognition and processing.
The striking adaptive radiation of AAA+ proteins to operate in diverse settings illustrates the versatile utility of the AAA+ domain.
AAA+ proteins typically form hexameric complexes and act as motors to remodel other proteins, DNA/RNA, or multicomponent complexes.
Indeed, many chaperones and ATP-dependent proteases are or have subunits that belong to this superfamily.
Rubisco activase (Rca) belongs to the AAA+ superfamily of proteins and it hydrolyzes ATP to ADP.
The complementarity of nucleotide-binding sites between AAA+ interfaces, the mechanism of ATP hydrolysis and the conformational changes activating or deactivating their ATP-binding pocket ensure a functional cycle that creates mechanical force to promote remodeling of substrates.
In this study, we will investigated the ADP/ATP and Mg2+ ion binding mechanism in Rca monomer and homodimers using extensive longtime scale simulations.
We will also try to find the binding pathway for ADP and ATP.
Simulations will also helps to predicts the crucial residues that involved in this binding process.
RELATED TERMS GLOSSARY AI BETA
AAA+ protein
ATPases Associated with diverse cellular Activities
AAA+ proteins are a superfamily of enzymes crucial for many cellular processes like DNA replication and protein folding. They use ATP energy to change the shape of other molecules.
ATP binding
The process where a cell attaches adenosine triphosphate (ATP) to a molecule or protein.
ATP binding is when cells attach energy-carrying molecules called ATP to other molecules. This helps power various cellular processes.
ATP hydrolysis
The process where ATP is broken down to release energy.
ATP hydrolysis is like breaking down an energy storage unit (ATP) to release the stored power for cellular tasks.
Rubisco activase
An enzyme that activates Rubisco.
Rubisco activase is a protein that helps activate an enzyme called Rubisco, which is essential for photosynthesis in plants.
ADP/ATP binding
The process where a molecule binds to a protein that can bind both ADP and ATP.
ADP/ATP binding is when molecules like ADP and ATP attach to proteins that regulate energy flow in cells.
Mg2+ ion
A magnesium ion.
Mg2+ ions are important for many cellular processes, including helping enzymes work properly.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:25:25|
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 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,400,009 | 140,659 | 52.61 | 0 hrs 27 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,701,003 | 136,359 | 49.14 | 0 hrs 29 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,584,829 | 136,177 | 48.35 | 0 hrs 30 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,128,738 | 124,292 | 41.26 | 0 hrs 35 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,725,922 | 120,983 | 39.06 | 0 hrs 37 mins |
| 6 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,541,205 | 121,331 | 37.43 | 0 hrs 38 mins |
| 7 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,325,969 | 119,121 | 36.32 | 0 hrs 40 mins |
| 8 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,154,175 | 106,280 | 29.68 | 0 hrs 49 mins |
| 9 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 2,020,532 | 90,228 | 22.39 | 1 hrs 4 mins |
| 10 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,914,126 | 89,891 | 21.29 | 1 hrs 8 mins |
| 11 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,777,618 | 111,662 | 15.92 | 1 hrs 30 mins |
| 12 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,707,582 | 86,300 | 19.79 | 1 hrs 13 mins |
| 13 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,177,305 | 76,372 | 15.42 | 1 hrs 33 mins |
| 14 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 931,348 | 69,132 | 13.47 | 1 hrs 47 mins |
| 15 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 911,894 | 64,711 | 14.09 | 1 hrs 42 mins |
| 16 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 558,198 | 59,430 | 9.39 | 2 hrs 33 mins |
| 17 | Radeon RX 6700/6700 XT/6750 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT/6750 XT / 6800M] |
AMD | Navi 22 | 459,654 | 54,425 | 8.45 | 2 hrs 51 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:25:25|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|