RESEARCH: PROTEIN-BRUSH-POLYMER-SIMULATION
FOLDING PROJECT #12117 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 151,546Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how short proteins (peptides) work better when linked together into chains called "protein brush polymers". These polymers help peptides get inside cells more easily. The project focuses on a specific protein called Trpzip2, which has a folded shape like a beta-sheet. By simulating different arrangements of these protein chains, researchers hope to understand how the shape of the protein affects how well the polymer works.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Protein Brush Polymers Short peptides are considered ideal therapeutics because of their small size and bioactivity, however they are prone to enzyme degradation.
Protein Brush Polymers allow peptides to bind to a hydrophobic backbone in a polymeric scheme which enhances the penetration of these peptides in cell/targets. In this project we simulate Trpzip2, which is a beta-hairpin peptide, for investigation of beta-sheet secondary structure effect on the polymer conformation. We have two broad aims in this study.
To simulate the peptide monomer as well as simulate a 15-mer polymer system with different configurations to investigate beta-sheet content.
RELATED TERMS GLOSSARY AI BETA
Protein
Large biomolecules essential for structure, function, and regulation of the body.
Proteins are complex molecules found in all living things. They perform many vital functions, such as building tissues, transporting substances, and catalyzing chemical reactions.
Brush Polymers
Polymeric materials with side chains projecting outwards like a brush.
Brush polymers are a type of polymer where long chain molecules (the backbone) have smaller chains branching off like bristles. This unique structure gives them special properties that make them useful in various applications.
Peptides
Short chains of amino acids linked together.
Peptides are small chains of amino acids, the building blocks of proteins. They play important roles in many biological processes and have potential as therapeutic agents.
Beta-Hairpin
A common secondary structure in proteins characterized by a hairpin-like shape.
Beta-hairpins are a type of protein folding pattern where two strands of amino acids are connected by a short loop. This structure is important for many biological functions.
Polymer
A large molecule made up of repeating units called monomers.
Polymers are long chains of molecules linked together. They have a wide range of properties and are used in many different applications, including plastics, fibers, and adhesives.
Trpzip2
A beta-hairpin peptide used as a model system for studying protein folding.
Trpzip2 is a small protein fragment that folds into a specific shape. It is often used by scientists to study how proteins fold and interact with each other.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:47|
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 | 21,770,671 | 403,849 | 53.91 | 0 hrs 27 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 14,990,367 | 386,193 | 38.82 | 0 hrs 37 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,831,269 | 392,380 | 30.15 | 0 hrs 48 mins |
| 4 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 10,110,494 | 415,139 | 24.35 | 0 hrs 59 mins |
| 5 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 9,881,344 | 412,274 | 23.97 | 1 hrs 0 mins |
| 6 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,162,203 | 384,864 | 21.21 | 1 hrs 8 mins |
| 7 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 6,600,521 | 360,185 | 18.33 | 1 hrs 19 mins |
| 8 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 6,150,118 | 350,598 | 17.54 | 1 hrs 22 mins |
| 9 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,132,572 | 350,757 | 17.48 | 1 hrs 22 mins |
| 10 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,844,729 | 340,669 | 17.16 | 1 hrs 24 mins |
| 11 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,732,022 | 69,415 | 82.58 | 0 hrs 17 mins |
| 12 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,297,930 | 332,746 | 15.92 | 1 hrs 30 mins |
| 13 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,921,988 | 324,757 | 15.16 | 1 hrs 35 mins |
| 14 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,369,087 | 313,970 | 13.92 | 1 hrs 43 mins |
| 15 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 4,316,473 | 183,490 | 23.52 | 1 hrs 1 mins |
| 16 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 4,302,127 | 312,070 | 13.79 | 1 hrs 44 mins |
| 17 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,836,510 | 302,270 | 12.69 | 1 hrs 53 mins |
| 18 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,737,545 | 297,285 | 12.57 | 1 hrs 55 mins |
| 19 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,580,225 | 295,032 | 12.14 | 1 hrs 59 mins |
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|||||||
| 20 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,501,481 | 292,015 | 11.99 | 2 hrs 0 mins |
| 21 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 3,191,766 | 283,454 | 11.26 | 2 hrs 8 mins |
| 22 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,140,549 | 281,556 | 11.15 | 2 hrs 9 mins |
| 23 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,035,231 | 268,535 | 11.30 | 2 hrs 7 mins |
| 24 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,741,585 | 269,809 | 10.16 | 2 hrs 22 mins |
| 25 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,717,830 | 269,353 | 10.09 | 2 hrs 23 mins |
| 26 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 2,632,244 | 265,721 | 9.91 | 2 hrs 25 mins |
| 27 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,590,970 | 265,161 | 9.77 | 2 hrs 27 mins |
| 28 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,582,834 | 191,692 | 13.47 | 1 hrs 47 mins |
| 29 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,578,953 | 102,939 | 25.05 | 0 hrs 57 mins |
| 30 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,440,227 | 258,996 | 9.42 | 2 hrs 33 mins |
| 31 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,346,746 | 255,422 | 9.19 | 2 hrs 37 mins |
| 32 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,324,834 | 255,921 | 9.08 | 2 hrs 39 mins |
| 33 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,294,321 | 253,276 | 9.06 | 2 hrs 39 mins |
| 34 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 2,156,110 | 249,294 | 8.65 | 2 hrs 46 mins |
| 35 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,122,609 | 235,480 | 9.01 | 2 hrs 40 mins |
| 36 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 1,984,539 | 217,466 | 9.13 | 2 hrs 38 mins |
| 37 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,677,739 | 231,132 | 7.26 | 3 hrs 18 mins |
| 38 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,651,957 | 227,548 | 7.26 | 3 hrs 18 mins |
| 39 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,462,514 | 220,171 | 6.64 | 3 hrs 37 mins |
|
|
|||||||
| 40 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,386,602 | 215,474 | 6.44 | 3 hrs 44 mins |
| 41 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,337,553 | 145,904 | 9.17 | 2 hrs 37 mins |
| 42 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,263,027 | 208,589 | 6.06 | 3 hrs 58 mins |
| 43 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,247,796 | 207,452 | 6.01 | 3 hrs 59 mins |
| 44 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,236,629 | 208,055 | 5.94 | 4 hrs 2 mins |
| 45 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 1,156,756 | 206,200 | 5.61 | 4 hrs 17 mins |
| 46 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 930,325 | 188,353 | 4.94 | 4 hrs 52 mins |
| 47 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 894,627 | 184,257 | 4.86 | 4 hrs 57 mins |
| 48 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 777,600 | 69,415 | 11.20 | 2 hrs 9 mins |
| 49 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 679,601 | 179,123 | 3.79 | 6 hrs 20 mins |
| 50 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 673,840 | 151,162 | 4.46 | 5 hrs 23 mins |
| 51 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 538,891 | 117,609 | 4.58 | 5 hrs 14 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:47|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|