RESEARCH: MG2-ION-BINDING
FOLDING PROJECT #19302 PROFILE
PROJECT TEAM
Manager(s): Rabindranath PaulInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 181,468Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how Rubisco activase (Rca), a protein that helps plants use sunlight, binds to energy molecules like ATP and ADP. By using computer simulations, researchers hope to understand the steps involved in this binding process and identify important parts of the Rca molecule.
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
A superfamily of proteins involved in various cellular activities.
AAA+ proteins are a large group of proteins found in all living organisms. They use energy from ATP to perform many important functions, such as controlling protein production and breaking down DNA. They play crucial roles in processes like cell division, DNA repair, and transporting molecules within the cell.
ATPases
Enzymes that hydrolyze ATP to ADP, releasing energy for cellular processes.
ATPases are enzymes that break down ATP (a molecule used for energy in cells) into ADP and phosphate. This process releases energy that cells can use to power various functions, such as muscle contraction, nerve impulse transmission, and protein synthesis.
ATP
Adenosine triphosphate.
ATP is the main energy currency of cells. It stores energy in its chemical bonds and releases it when broken down into ADP (adenosine diphosphate) and phosphate.
ADP
Adenosine diphosphate.
ADP is a molecule that results from the breakdown of ATP. It can be recycled back into ATP by adding a phosphate group.
Mg2+
Magnesium ion.
Mg2+ is an essential metal ion that acts as a cofactor for many enzymes. It helps stabilize the enzyme's structure and participate in chemical reactions.
Rubisco activase (Rca)
An enzyme that activates Rubisco, the key enzyme in carbon fixation during photosynthesis.
Rubisco activase (Rca) is a protein that helps activate Rubisco, the main enzyme responsible for capturing carbon dioxide during photosynthesis. This activation process is essential for plants to produce sugars and grow.
Simulations
Computer-based models of biological systems.
Simulations are computer programs that mimic the behavior of real-world systems. In biology, simulations can be used to study how proteins fold, how drugs interact with targets, and other complex processes.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:25:28|
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 | 8,761,404 | 255,230 | 34.33 | 0 hrs 42 mins |
| 2 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,358,903 | 239,570 | 30.72 | 0 hrs 47 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,293,060 | 240,144 | 30.37 | 0 hrs 47 mins |
| 4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,696,510 | 231,890 | 28.88 | 0 hrs 50 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,725,289 | 221,322 | 25.87 | 0 hrs 56 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,707,143 | 220,999 | 25.82 | 0 hrs 56 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,151,241 | 214,072 | 24.06 | 0 hrs 60 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,511,884 | 204,195 | 22.10 | 1 hrs 5 mins |
| 9 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,324,562 | 194,413 | 22.24 | 1 hrs 5 mins |
| 10 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,549,454 | 188,885 | 18.79 | 1 hrs 17 mins |
| 11 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,472,846 | 187,834 | 18.49 | 1 hrs 18 mins |
| 12 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,301,621 | 166,919 | 13.79 | 1 hrs 44 mins |
| 13 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 2,173,961 | 160,362 | 13.56 | 1 hrs 46 mins |
| 14 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,168,097 | 160,204 | 13.53 | 1 hrs 46 mins |
| 15 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 1,639,242 | 146,123 | 11.22 | 2 hrs 8 mins |
| 16 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,491,995 | 142,147 | 10.50 | 2 hrs 17 mins |
| 17 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,450,015 | 140,253 | 10.34 | 2 hrs 19 mins |
| 18 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,355,831 | 132,656 | 10.22 | 2 hrs 21 mins |
| 19 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 845,604 | 117,088 | 7.22 | 3 hrs 19 mins |
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| 20 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 168,359 | 68,461 | 2.46 | 9 hrs 46 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:25:28|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|