RESEARCH: PEPTIDE-CONFORMATION-MODELING
FOLDING PROJECT #12115 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 142,096Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how the shape of short protein pieces affects their ability to stick together in long chains. These chains could be used as medicines, but they break down easily. By studying a special protein piece called Trpzip2, scientists hope to figure out how to make these chains stronger and more effective.
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 various bodily functions.
Proteins are complex molecules that perform a wide range of functions in living organisms. They are involved in processes such as transporting nutrients, building tissues, and fighting infections.
Brush Polymers
Polymeric materials with side chains resembling a brush.
Brush polymers are a type of polymer where long chains (the backbone) have many short branches attached. These branches can interact with molecules in their surroundings, making them useful for things like drug delivery and creating coatings.
Peptides
Short chains of amino acids.
Peptides are like short chains of building blocks called amino acids. They play important roles in the body, such as sending signals between cells and defending against infection.
Enzyme Degradation
The breakdown of molecules by enzymes.
Enzyme degradation is the process where special proteins called enzymes break down other molecules. This can happen naturally in our bodies, but it can also be a problem if it causes unwanted breakdown of important substances.
Beta-Hairpin Peptide
A type of peptide with a specific folded structure.
Beta-hairpin peptides are small proteins with a unique shape that resembles a hairpin. This shape is important for their function and how they interact with other molecules.
Beta-Sheet
A common secondary structure in proteins.
Beta-sheets are flat structures formed by multiple protein strands linked together. They are a common feature in many important proteins and play a role in their stability and function.
Polymer Conformation
The 3D shape of a polymer chain.
Polymer conformation refers to how the long chains of molecules in a polymer are arranged in space. The shape can affect the polymer's properties and how it interacts with its surroundings.
Trpzip2
A model beta-hairpin peptide.
Trpzip2 is a short protein used as a model system to study how proteins fold and interact. Its simple structure makes it easy to understand and analyze.
15-mer Polymer System
A system consisting of 15 peptide units linked together.
A 15-mer polymer system is a group of 15 peptide molecules connected together. This type of system can be used to study how the length and arrangement of peptides affect their properties.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:48|
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 | 7,562,400 | 320,293 | 23.61 | 1 hrs 1 mins |
| 2 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 7,396,484 | 323,834 | 22.84 | 1 hrs 3 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,133,842 | 320,627 | 22.25 | 1 hrs 5 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,425,920 | 55,977 | 96.93 | 0 hrs 15 mins |
| 5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,223,680 | 285,413 | 18.30 | 1 hrs 19 mins |
| 6 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 5,160,220 | 287,717 | 17.94 | 1 hrs 20 mins |
| 7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,896,960 | 282,167 | 17.35 | 1 hrs 23 mins |
| 8 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,557,154 | 181,869 | 25.06 | 0 hrs 57 mins |
| 9 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,478,615 | 274,767 | 16.30 | 1 hrs 28 mins |
| 10 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,771,191 | 257,395 | 14.65 | 1 hrs 38 mins |
| 11 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,362,695 | 152,128 | 22.10 | 1 hrs 5 mins |
| 12 | RTX A4500 GA102GL [RTX A4500] |
Nvidia | GA102GL | 3,291,578 | 250,185 | 13.16 | 1 hrs 49 mins |
| 13 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,107,708 | 243,554 | 12.76 | 1 hrs 53 mins |
| 14 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,100,205 | 235,464 | 13.17 | 1 hrs 49 mins |
| 15 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,063,247 | 243,330 | 12.59 | 1 hrs 54 mins |
| 16 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,955,954 | 238,705 | 12.38 | 1 hrs 56 mins |
| 17 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,834,965 | 234,239 | 12.10 | 1 hrs 59 mins |
| 18 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,669,139 | 225,817 | 11.82 | 2 hrs 2 mins |
| 19 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,646,102 | 100,229 | 26.40 | 0 hrs 55 mins |
|
|
|||||||
| 20 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,539,114 | 225,913 | 11.24 | 2 hrs 8 mins |
| 21 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,400,236 | 233,359 | 10.29 | 2 hrs 20 mins |
| 22 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,238,341 | 218,288 | 10.25 | 2 hrs 20 mins |
| 23 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,191,835 | 217,317 | 10.09 | 2 hrs 23 mins |
| 24 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,129,605 | 205,961 | 10.34 | 2 hrs 19 mins |
| 25 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,070,155 | 210,722 | 9.82 | 2 hrs 27 mins |
| 26 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,962,834 | 207,918 | 9.44 | 2 hrs 33 mins |
| 27 | GeForce RTX 2060 12GB TU106 [GeForce RTX 2060 12GB] |
Nvidia | TU106 | 1,960,552 | 208,260 | 9.41 | 2 hrs 33 mins |
| 28 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,914,520 | 206,902 | 9.25 | 2 hrs 36 mins |
| 29 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 1,836,639 | 205,492 | 8.94 | 2 hrs 41 mins |
| 30 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,793,602 | 202,505 | 8.86 | 2 hrs 43 mins |
| 31 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 1,634,612 | 197,525 | 8.28 | 2 hrs 54 mins |
| 32 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,610,437 | 170,661 | 9.44 | 2 hrs 33 mins |
| 33 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,338,455 | 141,943 | 9.43 | 2 hrs 33 mins |
| 34 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,303,446 | 176,666 | 7.38 | 3 hrs 15 mins |
| 35 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,234,737 | 179,376 | 6.88 | 3 hrs 29 mins |
| 36 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,233,535 | 178,755 | 6.90 | 3 hrs 29 mins |
| 37 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,070,070 | 171,109 | 6.25 | 3 hrs 50 mins |
| 38 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,021,387 | 165,773 | 6.16 | 3 hrs 54 mins |
| 39 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 998,847 | 165,508 | 6.04 | 3 hrs 59 mins |
|
|
|||||||
| 40 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 840,134 | 153,864 | 5.46 | 4 hrs 24 mins |
| 41 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 643,665 | 144,014 | 4.47 | 5 hrs 22 mins |
| 42 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 575,186 | 136,024 | 4.23 | 5 hrs 41 mins |
| 43 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 521,696 | 137,077 | 3.81 | 6 hrs 18 mins |
| 44 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 437,196 | 134,196 | 3.26 | 7 hrs 22 mins |
| 45 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 366,323 | 125,100 | 2.93 | 8 hrs 12 mins |
| 46 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 240,010 | 104,098 | 2.31 | 10 hrs 25 mins |
| 47 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 213,059 | 99,825 | 2.13 | 11 hrs 15 mins |
| 48 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 212,839 | 55,977 | 3.80 | 6 hrs 19 mins |
| 49 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 194,959 | 110,427 | 1.77 | 13 hrs 36 mins |
| 50 | GeForce MX150 GP107M [GeForce MX150] |
Nvidia | GP107M | 103,034 | 78,463 | 1.31 | 18 hrs 17 mins |
| 51 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 86,400 | 55,977 | 1.54 | 15 hrs 33 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:48|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|