RESEARCH: AAA-PROTEIN-SUPERFAMILY
FOLDING PROJECT #19325 PROFILE
PROJECT TEAM
Manager(s): Rabindranath PaulInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 145,896Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project explores how Rubisco activase (Rca), a protein important for plant growth, uses energy from ATP to change shape and do its job. Researchers will use computer simulations to understand how Rca binds to ATP and ADP (chemicals related to energy) and figure out 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 superfamily
A superfamily of proteins involved in diverse cellular functions.
AAA+ proteins are a large group of proteins found in all living organisms. They play important roles in many cellular processes, such as DNA replication, protein folding, and cell division. AAA+ proteins are named after their ATPase activity and conserved domains.
ATPases
Enzymes that hydrolyze ATP to ADP, releasing energy.
ATPases are a type of enzyme that breaks down a molecule called ATP (adenosine triphosphate). ATP is the primary energy source for cells. When ATP is broken down by an ATPase, energy is released that can be used to power various cellular processes.
AAA+ domain
A protein domain containing Walker A and B motifs involved in ATP binding and hydrolysis.
The AAA+ domain is a region within proteins that is responsible for binding and breaking down ATP. This process releases energy that the protein can use to perform its functions.
ATP
Adenosine triphosphate
ATP is the primary energy currency of cells. It's a molecule that stores energy and releases it when needed for various cellular processes.
ADP
Adenosine diphosphate
ADP is a molecule produced when ATP loses one phosphate group. It's often involved in energy-related processes.
Mg2+
Magnesium ion
A positively charged magnesium atom that plays a role in many enzymatic reactions and cellular processes.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:24:57|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 14,730,500 | 209,572 | 70.29 | 0 hrs 20 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 12,953,111 | 204,512 | 63.34 | 0 hrs 23 mins |
| 3 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 9,527,810 | 183,099 | 52.04 | 0 hrs 28 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,284,011 | 168,080 | 43.34 | 0 hrs 33 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,593,796 | 160,470 | 41.09 | 0 hrs 35 mins |
| 6 | RTX A6000 GA102GL [RTX A6000] |
Nvidia | GA102GL | 6,290,392 | 161,622 | 38.92 | 0 hrs 37 mins |
| 7 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,199,915 | 159,241 | 38.93 | 0 hrs 37 mins |
| 8 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,050,496 | 155,167 | 38.99 | 0 hrs 37 mins |
| 9 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,327,708 | 152,159 | 35.01 | 0 hrs 41 mins |
| 10 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,232,495 | 151,053 | 34.64 | 0 hrs 42 mins |
| 11 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,458,524 | 142,299 | 31.33 | 0 hrs 46 mins |
| 12 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 4,127,033 | 139,813 | 29.52 | 0 hrs 49 mins |
| 13 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,940,906 | 137,231 | 28.72 | 0 hrs 50 mins |
| 14 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,729,042 | 134,362 | 27.75 | 0 hrs 52 mins |
| 15 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 3,522,543 | 132,792 | 26.53 | 0 hrs 54 mins |
| 16 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,448,578 | 127,914 | 26.96 | 0 hrs 53 mins |
| 17 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,269,189 | 127,269 | 25.69 | 0 hrs 56 mins |
| 18 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,223,769 | 128,858 | 25.02 | 0 hrs 58 mins |
| 19 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,923,691 | 124,616 | 23.46 | 1 hrs 1 mins |
|
|
|||||||
| 20 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,771,756 | 121,787 | 22.76 | 1 hrs 3 mins |
| 21 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,761,659 | 121,849 | 22.66 | 1 hrs 4 mins |
| 22 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,555,205 | 118,525 | 21.56 | 1 hrs 7 mins |
| 23 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,391,789 | 117,070 | 20.43 | 1 hrs 10 mins |
| 24 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,391,536 | 114,573 | 20.87 | 1 hrs 9 mins |
| 25 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,386,492 | 116,657 | 20.46 | 1 hrs 10 mins |
| 26 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,186,942 | 112,799 | 19.39 | 1 hrs 14 mins |
| 27 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,022,968 | 110,478 | 18.31 | 1 hrs 19 mins |
| 28 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 1,826,997 | 106,473 | 17.16 | 1 hrs 24 mins |
| 29 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,801,117 | 105,353 | 17.10 | 1 hrs 24 mins |
| 30 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,772,483 | 105,485 | 16.80 | 1 hrs 26 mins |
| 31 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,715,686 | 110,637 | 15.51 | 1 hrs 33 mins |
| 32 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,685,375 | 102,390 | 16.46 | 1 hrs 27 mins |
| 33 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,400,261 | 97,873 | 14.31 | 1 hrs 41 mins |
| 34 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,305,085 | 94,020 | 13.88 | 1 hrs 44 mins |
| 35 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,209,879 | 92,904 | 13.02 | 1 hrs 51 mins |
| 36 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,151,549 | 91,239 | 12.62 | 1 hrs 54 mins |
| 37 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,130,861 | 90,872 | 12.44 | 1 hrs 56 mins |
| 38 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,128,664 | 90,752 | 12.44 | 1 hrs 56 mins |
| 39 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,091,461 | 89,359 | 12.21 | 1 hrs 58 mins |
|
|
|||||||
| 40 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,066,011 | 89,493 | 11.91 | 2 hrs 1 mins |
| 41 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,057,930 | 88,579 | 11.94 | 2 hrs 1 mins |
| 42 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,019,841 | 88,042 | 11.58 | 2 hrs 4 mins |
| 43 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 970,907 | 86,165 | 11.27 | 2 hrs 8 mins |
| 44 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 967,566 | 82,427 | 11.74 | 2 hrs 3 mins |
| 45 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 873,319 | 83,377 | 10.47 | 2 hrs 17 mins |
| 46 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 730,970 | 78,335 | 9.33 | 2 hrs 34 mins |
| 47 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 531,313 | 66,888 | 7.94 | 3 hrs 1 mins |
| 48 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 511,905 | 69,734 | 7.34 | 3 hrs 16 mins |
| 49 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 423,989 | 65,433 | 6.48 | 3 hrs 42 mins |
| 50 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 381,579 | 63,412 | 6.02 | 3 hrs 59 mins |
| 51 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 360,047 | 62,040 | 5.80 | 4 hrs 8 mins |
| 52 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 219,768 | 52,461 | 4.19 | 5 hrs 44 mins |
| 53 | R9 280X/HD 7900/8970 OEM Tahiti XT [R9 280X/HD 7900/8970 OEM] |
AMD | Tahiti XT | 204,581 | 51,487 | 3.97 | 6 hrs 2 mins |
| 54 | R7 370/R9 270X/370X Curacao XT/Trinidad XT [R7 370/R9 270X/370X] |
AMD | Curacao XT/Trinidad XT | 87,681 | 38,832 | 2.26 | 10 hrs 38 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:24:57|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|