RESEARCH: AAA-PROTEIN-SUPERFAMILY
FOLDING PROJECT #19317 PROFILE

PROJECT TEAM

Manager(s): Rabindranath Paul
Institution: University of Illinois at Urbana-Champaign

WORK UNIT INFO

Atoms: 185,988
Core: 0x22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project studies how Rubisco activase (Rca), a protein important for plant growth, uses energy from ATP to change shape and perform its job. Scientists will use computer simulations to understand how Rca binds to ATP and ADP and identify key parts of the protein involved in 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

Note: Glossary items are a high level summary and may not be 100% accurate.

AAA+

ATPases Associated with diverse cellular Activities

Technical: Pharmaceutical
Biotechnology / Protein Engineering

AAA+ proteins are a large family of enzymes that use energy from ATP to perform various cellular tasks, such as protein folding, DNA repair, and membrane fusion. They are essential for many biological processes and are found in all living organisms.


ATPase

An enzyme that hydrolyzes ATP to ADP, releasing energy.

Technical: Pharmaceutical
Biotechnology / Molecular Biology

ATPases are enzymes that break down adenosine triphosphate (ATP), a molecule that stores energy in cells. This process releases energy that can be used to power various cellular activities, such as muscle contraction, nerve impulse transmission, and protein synthesis.


Protein

A large biomolecule composed of amino acids linked together in a chain.

Scientific: Pharmaceutical
Biotechnology / Structural Biology

Proteins are essential building blocks of all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.


DNA

Deoxyribonucleic acid

Scientific: Pharmaceutical
Biotechnology / Genetics

DNA is a molecule that carries genetic information. It is composed of two strands of nucleotides wound around each other in a double helix structure. DNA contains the instructions for building and maintaining an organism.


RNA

Ribonucleic acid

Scientific: Pharmaceutical
Biotechnology / Molecular Biology

RNA is a molecule similar to DNA, but it is single-stranded and plays a role in protein synthesis. It carries genetic information from DNA to ribosomes, where proteins are made.


Simulations

Computer models used to study complex systems.

Technical: Pharmaceutical
Biotechnology / Computational Biology

Simulations are computer programs that mimic real-world processes. In biotechnology, simulations are used to study the behavior of molecules, cells, and organisms.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:25:09
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 15,598,884 276,650 56.38 0 hrs 26 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 13,602,638 269,146 50.54 0 hrs 28 mins
3 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 8,803,519 231,970 37.95 0 hrs 38 mins
4 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,979,301 212,957 32.77 0 hrs 44 mins
5 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,586,630 209,783 31.40 0 hrs 46 mins
6 RTX A6000
GA102GL [RTX A6000]
Nvidia GA102GL 6,260,680 205,311 30.49 0 hrs 47 mins
7 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,793,389 201,977 28.68 0 hrs 50 mins
8 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 5,089,766 188,405 27.02 0 hrs 53 mins
9 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,063,559 194,008 26.10 0 hrs 55 mins
10 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 4,760,650 189,132 25.17 0 hrs 57 mins
11 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 4,653,467 148,429 31.35 0 hrs 46 mins
12 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,554,265 185,422 24.56 0 hrs 59 mins
13 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,193,582 181,611 23.09 1 hrs 2 mins
14 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 3,879,830 178,080 21.79 1 hrs 6 mins
15 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,764,984 174,907 21.53 1 hrs 7 mins
16 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 3,388,118 168,067 20.16 1 hrs 11 mins
17 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,379,632 168,377 20.07 1 hrs 12 mins
18 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,342,972 166,553 20.07 1 hrs 12 mins
19 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,985,418 162,599 18.36 1 hrs 18 mins
20 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,978,684 162,600 18.32 1 hrs 19 mins
21 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 2,940,424 162,459 18.10 1 hrs 20 mins
22 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,719,032 157,325 17.28 1 hrs 23 mins
23 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,698,268 157,138 17.17 1 hrs 24 mins
24 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,582,470 154,696 16.69 1 hrs 26 mins
25 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,319,824 149,733 15.49 1 hrs 33 mins
26 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,062,577 143,722 14.35 1 hrs 40 mins
27 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 2,003,456 142,347 14.07 1 hrs 42 mins
28 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,874,635 139,084 13.48 1 hrs 47 mins
29 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,695,102 132,995 12.75 1 hrs 53 mins
30 GeForce RTX 2060 12GB
TU106 [GeForce RTX 2060 12GB]
Nvidia TU106 1,575,772 132,591 11.88 2 hrs 1 mins
31 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,541,092 129,966 11.86 2 hrs 1 mins
32 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,525,978 145,781 10.47 2 hrs 18 mins
33 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,182,705 118,321 10.00 2 hrs 24 mins
34 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,179,617 118,008 10.00 2 hrs 24 mins
35 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 1,142,763 117,664 9.71 2 hrs 28 mins
36 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 1,141,192 118,009 9.67 2 hrs 29 mins
37 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,061,826 114,045 9.31 2 hrs 35 mins
38 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,059,686 114,207 9.28 2 hrs 35 mins
39 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 1,032,982 114,661 9.01 2 hrs 40 mins
40 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 994,236 113,150 8.79 2 hrs 44 mins
41 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 963,700 108,062 8.92 2 hrs 41 mins
42 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 952,444 110,394 8.63 2 hrs 47 mins
43 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 922,086 101,351 9.10 2 hrs 38 mins
44 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 763,180 103,841 7.35 3 hrs 16 mins
45 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 748,618 103,063 7.26 3 hrs 18 mins
46 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 702,853 99,998 7.03 3 hrs 25 mins
47 Tesla T4
TU104GL [Tesla T4]
Nvidia TU104GL 691,437 100,417 6.89 3 hrs 29 mins
48 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 436,194 85,611 5.10 4 hrs 43 mins
49 P106-090
GP106 [P106-090]
Nvidia GP106 330,735 80,501 4.11 5 hrs 50 mins
50 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 161,314 61,585 2.62 9 hrs 10 mins
51 Vega Mobile 5000 series APU
Cezanne [Vega Mobile 5000 series APU]
AMD Cezanne 51,640 46,509 1.11 21 hrs 37 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:25:09
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make