RESEARCH: REFLECTIN-PEPTIDE-STRUCTURE
FOLDING PROJECT #12124 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 50,000Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Squid and octopus inspired peptides called reflectins can change color when exposed to light or changes in acidity. This project looks at 4 special versions of these peptides to understand how their shapes affect their ability to work.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Reflectin-derived peptides hold promise as therapeutic agents due to their unique properties, particularly in the realm of biomedical applications. These peptides, inspired by the reflective capabilities of cephalopods like squid and octopus, exhibit remarkable tunability and responsiveness to external stimuli, such as light and pH changes.
Their ability to self-assemble into ordered structures allows for precise control over their optical properties, making them invaluable in the development of biosensors, drug delivery systems, and tissue engineering scaffolds.
Moreover, their biocompatibility and potential for modification offer versatility in targeting specific biological pathways or cellular processes, opening doors for innovative approaches in disease diagnosis and treatment.
In these projects we study 4 mutant peptides derived from reflectin like proteins to study their secondary structure conformation.
RELATED TERMS GLOSSARY AI BETA
Reflectin-derived peptides
Peptides synthesized from the reflectin protein found in cephalopods.
Reflectin-derived peptides are short chains of amino acids created by modifying the reflectin protein, which is known for its ability to change color in response to light and pH. These modified peptides have potential uses in drug delivery, biosensors, and tissue engineering due to their unique properties.
Cephalopods
A group of marine mollusks that include squid, octopus, and cuttlefish.
Cephalopods are a diverse group of marine animals characterized by their intelligence, complex nervous systems, and ability to change color and texture. They are important for both ecological balance and scientific research.
Biosensors
Devices that use biological components to detect and measure specific analytes.
Biosensors are used in medical diagnostics, environmental monitoring, and food safety to detect the presence or absence of specific substances. They work by using biological components like enzymes or antibodies to interact with target molecules, producing a measurable signal.
Tissue Engineering Scaffolds
Three-dimensional structures that provide support for cell growth and tissue regeneration.
Tissue engineering scaffolds are used in regenerative medicine to create artificial tissues or organs. They provide a framework for cells to attach, grow, and organize into functional tissues.
Drug Delivery Systems
Methods for delivering drugs to specific target sites in the body.
Drug delivery systems aim to improve the efficacy and safety of medications by delivering them directly to the site of action. This can involve using nanoparticles, liposomes, or other carriers to transport drugs through the body.
Secondary Structure Conformation
The local arrangement of amino acids in a polypeptide chain.
Secondary structure conformation refers to the regular folding patterns found in proteins, such as alpha-helices and beta-sheets. These patterns are stabilized by hydrogen bonds between amino acid residues.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:43|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,444,826 | 67,559 | 65.79 | 0 hrs 22 mins |
| 2 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 4,305,053 | 67,559 | 63.72 | 0 hrs 23 mins |
| 3 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,381,019 | 252,330 | 9.44 | 2 hrs 33 mins |
| 4 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,217,811 | 246,922 | 8.98 | 2 hrs 40 mins |
| 5 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,010,016 | 239,272 | 8.40 | 2 hrs 51 mins |
| 6 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,678,975 | 154,605 | 10.86 | 2 hrs 13 mins |
| 7 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,403,067 | 195,701 | 7.17 | 3 hrs 21 mins |
| 8 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,227,256 | 67,559 | 18.17 | 1 hrs 19 mins |
| 9 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 568,986 | 67,559 | 8.42 | 2 hrs 51 mins |
| 10 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 553,559 | 67,559 | 8.19 | 2 hrs 56 mins |
| 11 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 298,940 | 67,559 | 4.42 | 5 hrs 25 mins |
| 12 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 118,998 | 93,615 | 1.27 | 18 hrs 53 mins |
| 13 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 79,874 | 67,559 | 1.18 | 20 hrs 18 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:43|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|