RESEARCH: AAA-PROTEIN-SUPERFAMILY
FOLDING PROJECT #19327 PROFILE
PROJECT TEAM
Manager(s): Rabindranath PaulInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 83,337Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how Rubisco activase (Rca), a protein that helps plants make sugar, uses energy from ATP to work. Scientists will use computer simulations to understand how Rca binds to ATP and ADP, and which parts of the protein are 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+
ATPases Associated with diverse cellular Activities
AAA+ is a superfamily of proteins crucial for various cell functions like DNA replication, protein folding, and organelle formation. They bind and hydrolyze ATP to power these activities.
ATPase
An enzyme that catalyzes the hydrolysis of ATP (adenosine triphosphate) to ADP (adenosine diphosphate) and inorganic phosphate.
ATPases are enzymes that break down ATP, a molecule that cells use for energy. This process releases energy that powers many cellular functions.
ATP
Adenosine triphosphate
ATP is the primary energy currency of cells. It stores and releases energy for various cellular processes like muscle contraction, protein synthesis, and nerve impulse transmission.
ADP
Adenosine diphosphate
ADP is a molecule produced when ATP loses a phosphate group. It can be converted back into ATP to continue providing energy for cellular processes.
Mg2+
Magnesium ion
Mg2+ is an essential mineral and cofactor for many enzymes, including those involved in ATP hydrolysis and cellular signaling.
Rubisco activase (Rca)
A protein that activates Rubisco, the enzyme responsible for carbon fixation in photosynthesis.
Rubisco activase (Rca) helps plants carry out photosynthesis by activating Rubisco, the enzyme that converts carbon dioxide into sugar. This process is essential for plant growth and food production.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:24:54|
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 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 10,150,096 | 100,985 | 100.51 | 0 hrs 14 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 9,408,910 | 85,374 | 110.21 | 0 hrs 13 mins |
| 3 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 7,556,577 | 92,540 | 81.66 | 0 hrs 18 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,433,421 | 86,820 | 74.10 | 0 hrs 19 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 5,710,604 | 82,962 | 68.83 | 0 hrs 21 mins |
| 6 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,618,144 | 83,467 | 67.31 | 0 hrs 21 mins |
| 7 | RTX A6000 GA102GL [RTX A6000] |
Nvidia | GA102GL | 5,335,111 | 81,903 | 65.14 | 0 hrs 22 mins |
| 8 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,915,183 | 80,025 | 61.42 | 0 hrs 23 mins |
| 9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,659,182 | 76,271 | 61.09 | 0 hrs 24 mins |
| 10 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,475,079 | 77,170 | 57.99 | 0 hrs 25 mins |
| 11 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 4,027,056 | 73,975 | 54.44 | 0 hrs 26 mins |
| 12 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,751,155 | 72,194 | 51.96 | 0 hrs 28 mins |
| 13 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,323,439 | 69,118 | 48.08 | 0 hrs 30 mins |
| 14 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,239,203 | 69,567 | 46.56 | 0 hrs 31 mins |
| 15 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 3,179,617 | 95,224 | 33.39 | 0 hrs 43 mins |
| 16 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,065,324 | 67,206 | 45.61 | 0 hrs 32 mins |
| 17 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,999,307 | 67,624 | 44.35 | 0 hrs 32 mins |
| 18 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,859,229 | 67,161 | 42.57 | 0 hrs 34 mins |
| 19 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,722,975 | 65,356 | 41.66 | 0 hrs 35 mins |
|
|
|||||||
| 20 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,693,357 | 65,185 | 41.32 | 0 hrs 35 mins |
| 21 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,599,445 | 64,370 | 40.38 | 0 hrs 36 mins |
| 22 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,454,532 | 63,496 | 38.66 | 0 hrs 37 mins |
| 23 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,437,294 | 63,023 | 38.67 | 0 hrs 37 mins |
| 24 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,141,773 | 61,006 | 35.11 | 0 hrs 41 mins |
| 25 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,013,467 | 59,533 | 33.82 | 0 hrs 43 mins |
| 26 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,999,933 | 58,607 | 34.12 | 0 hrs 42 mins |
| 27 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 1,983,313 | 58,455 | 33.93 | 0 hrs 42 mins |
| 28 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,753,711 | 56,716 | 30.92 | 0 hrs 47 mins |
| 29 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,207,345 | 50,166 | 24.07 | 0 hrs 60 mins |
| 30 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,196,796 | 49,649 | 24.11 | 0 hrs 60 mins |
| 31 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,101,079 | 48,093 | 22.89 | 1 hrs 3 mins |
| 32 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,082,493 | 47,569 | 22.76 | 1 hrs 3 mins |
| 33 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,065,665 | 47,781 | 22.30 | 1 hrs 5 mins |
| 34 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,010,088 | 47,814 | 21.13 | 1 hrs 8 mins |
| 35 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 985,803 | 46,883 | 21.03 | 1 hrs 8 mins |
| 36 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 866,902 | 44,520 | 19.47 | 1 hrs 14 mins |
| 37 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 845,128 | 40,410 | 20.91 | 1 hrs 9 mins |
| 38 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 785,449 | 43,734 | 17.96 | 1 hrs 20 mins |
| 39 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 717,382 | 41,381 | 17.34 | 1 hrs 23 mins |
|
|
|||||||
| 40 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 604,161 | 39,458 | 15.31 | 1 hrs 34 mins |
| 41 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 486,078 | 21,862 | 22.23 | 1 hrs 5 mins |
| 42 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 463,577 | 36,519 | 12.69 | 1 hrs 53 mins |
| 43 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 386,414 | 33,271 | 11.61 | 2 hrs 4 mins |
| 44 | R9 380X/R9 M295X Tonga XT/Amethyst XT [R9 380X/R9 M295X] |
AMD | Tonga XT/Amethyst XT | 181,765 | 24,667 | 7.37 | 3 hrs 15 mins |
| 45 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 153,926 | 25,187 | 6.11 | 3 hrs 56 mins |
| 46 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 148,402 | 25,166 | 5.90 | 4 hrs 4 mins |
| 47 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 138,849 | 23,966 | 5.79 | 4 hrs 9 mins |
| 48 | R7 370/R9 270X/370X Curacao XT/Trinidad XT [R7 370/R9 270X/370X] |
AMD | Curacao XT/Trinidad XT | 99,899 | 21,869 | 4.57 | 5 hrs 15 mins |
| 49 | Vega Mobile 5000 series APU Cezanne [Vega Mobile 5000 series APU] |
AMD | Cezanne | 90,953 | 20,012 | 4.54 | 5 hrs 17 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:24:54|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|