RESEARCH: PEPTIDE-CONFORMATION-MODELING
FOLDING PROJECT #12118 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 92,276Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how the shape of short protein chains affects their ability to stick together. Researchers are using computer simulations to study a special type of protein called Trpzip2. They want to see if changing the shape of these proteins can make them better at getting into cells and doing their job.
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
A large molecule made of amino acids.
Proteins are essential for many biological processes. They can act as enzymes, structural components, hormones, and more. They are made up of chains of amino acids that fold into complex 3-dimensional shapes.
Brush Polymers
Polymers with side chains that extend outward like a brush.
Brush polymers are a type of polymer where long chains branch out from a main backbone. These branches can be functionalized to interact with specific molecules or surfaces. They have applications in drug delivery, biosensors, and tissue engineering.
Peptides
Short chains of amino acids.
Peptides are short chains of amino acids, which are the building blocks of proteins. They can have a variety of biological functions, such as signaling, hormone regulation, and enzyme activity.
Enzyme Degradation
The breakdown of proteins by enzymes.
Enzyme degradation is a process where enzymes break down proteins into smaller molecules. This can happen naturally in the body or be used in industrial processes.
Beta-Hairpin Peptide
A type of peptide with a beta-sheet structure.
A beta-hairpin peptide is a short chain of amino acids that folds into a specific shape called a beta-hairpin. This shape is stabilized by hydrogen bonds between the backbone atoms.
Beta-Sheet Secondary Structure
A common structural motif in proteins.
Beta-sheets are a common structural motif in proteins. They consist of multiple beta strands arranged side by side, held together by hydrogen bonds.
Polymer Conformation
The three-dimensional shape of a polymer.
Polymer conformation refers to the spatial arrangement of atoms within a polymer molecule. It is influenced by factors such as chain length, chemical structure, and environmental conditions.
Monomer
The basic repeating unit of a polymer.
A monomer is the smallest unit that can be linked together to form a polymer. Polymers are made up of many monomers joined together in a chain.
Polymer System
A collection of polymers.
A polymer system is a group of different polymers interacting with each other. This can include mixtures of different types of polymers or polymers that are chemically crosslinked.
Beta-Sheet Content
The proportion of beta-sheet structure in a protein or polymer.
Beta-sheet content refers to the amount of beta-sheet structure present in a protein or polymer. It is often measured as a percentage and can be influenced by factors such as amino acid sequence and environmental conditions.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:46|
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 | 9,095,410 | 251,864 | 36.11 | 0 hrs 40 mins |
| 2 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 8,544,563 | 244,989 | 34.88 | 0 hrs 41 mins |
| 3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,847,621 | 225,983 | 30.30 | 0 hrs 48 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,846,610 | 227,764 | 30.06 | 0 hrs 48 mins |
| 5 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 5,988,613 | 219,465 | 27.29 | 0 hrs 53 mins |
| 6 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,501,786 | 213,959 | 25.71 | 0 hrs 56 mins |
| 7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,480,571 | 211,405 | 25.92 | 0 hrs 56 mins |
| 8 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,313,600 | 34,620 | 153.48 | 0 hrs 9 mins |
| 9 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,091,652 | 208,326 | 24.44 | 0 hrs 59 mins |
| 10 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,816,834 | 186,486 | 20.47 | 1 hrs 10 mins |
| 11 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,765,098 | 187,156 | 20.12 | 1 hrs 12 mins |
| 12 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,486,009 | 81,407 | 42.82 | 0 hrs 34 mins |
| 13 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,466,138 | 182,739 | 18.97 | 1 hrs 16 mins |
| 14 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,281,784 | 179,923 | 18.24 | 1 hrs 19 mins |
| 15 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,073,665 | 154,458 | 19.90 | 1 hrs 12 mins |
| 16 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,661,385 | 166,782 | 15.96 | 1 hrs 30 mins |
| 17 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,640,097 | 165,980 | 15.91 | 1 hrs 31 mins |
| 18 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,606,355 | 164,796 | 15.82 | 1 hrs 31 mins |
| 19 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,598,332 | 165,398 | 15.71 | 1 hrs 32 mins |
|
|
|||||||
| 20 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,586,378 | 59,831 | 43.23 | 0 hrs 33 mins |
| 21 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,540,328 | 164,493 | 15.44 | 1 hrs 33 mins |
| 22 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,520,792 | 165,067 | 15.27 | 1 hrs 34 mins |
| 23 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,300,806 | 159,564 | 14.42 | 1 hrs 40 mins |
| 24 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,272,650 | 159,354 | 14.26 | 1 hrs 41 mins |
| 25 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,262,912 | 111,245 | 20.34 | 1 hrs 11 mins |
| 26 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,118,072 | 154,984 | 13.67 | 1 hrs 45 mins |
| 27 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 2,107,469 | 112,226 | 18.78 | 1 hrs 17 mins |
| 28 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,103,592 | 153,451 | 13.71 | 1 hrs 45 mins |
| 29 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,980,928 | 114,031 | 17.37 | 1 hrs 23 mins |
| 30 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,673,270 | 143,754 | 11.64 | 2 hrs 4 mins |
| 31 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,575,289 | 142,759 | 11.03 | 2 hrs 10 mins |
| 32 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,355,239 | 134,875 | 10.05 | 2 hrs 23 mins |
| 33 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,242,690 | 136,250 | 9.12 | 2 hrs 38 mins |
| 34 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,211,607 | 129,122 | 9.38 | 2 hrs 33 mins |
| 35 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,155,534 | 63,104 | 18.31 | 1 hrs 19 mins |
| 36 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,143,949 | 127,039 | 9.00 | 2 hrs 40 mins |
| 37 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 832,170 | 98,343 | 8.46 | 2 hrs 50 mins |
| 38 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 816,511 | 112,990 | 7.23 | 3 hrs 19 mins |
| 39 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 721,486 | 88,274 | 8.17 | 2 hrs 56 mins |
|
|
|||||||
| 40 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 616,423 | 103,954 | 5.93 | 4 hrs 3 mins |
| 41 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 611,152 | 103,122 | 5.93 | 4 hrs 3 mins |
| 42 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 432,443 | 96,145 | 4.50 | 5 hrs 20 mins |
| 43 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 326,389 | 86,656 | 3.77 | 6 hrs 22 mins |
| 44 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 267,176 | 58,687 | 4.55 | 5 hrs 16 mins |
| 45 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 250,687 | 76,483 | 3.28 | 7 hrs 19 mins |
| 46 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 125,353 | 60,802 | 2.06 | 11 hrs 38 mins |
| 47 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 86,400 | 34,620 | 2.50 | 9 hrs 37 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:46|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|