RESEARCH: REFLECTIN-PEPTIDE-STRUCTURE
FOLDING PROJECT #12123 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
This project looks at 4 special peptides made from squid and octopus proteins. These peptides can change shape depending on their surroundings, like light or acidity. Scientists think these peptides could be used to make new medicines, sensors, and even help build tissues.
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 derived from reflectin proteins.
Reflectin-derived peptides are short chains of amino acids created from reflectin proteins. These proteins are found in cephalopods like squid and octopus and give them their ability to change color. Researchers are exploring these peptides for various applications in medicine, such as biosensors, drug delivery, and tissue engineering.
therapeutic agents
Substances used to treat or prevent diseases.
Therapeutic agents are medications or treatments designed to help diagnose, cure, treat, or prevent diseases. This broad category includes drugs, vaccines, and other medical interventions.
biomedical applications
Uses of medical technology in biological systems.
Biomedical applications refer to the use of biological and medical technologies to solve problems in healthcare. This can include developing new drugs, diagnostic tools, or treatments for diseases.
biosensors
Devices that detect and measure biological molecules.
Biosensors are small devices that can detect and measure specific biological molecules, such as proteins or DNA. They are used in a variety of applications, including medical diagnostics, environmental monitoring, and food safety.
drug delivery systems
Methods for delivering drugs to target cells or tissues.
Drug delivery systems are designed to transport medications safely and effectively to the desired location in the body. This can involve various approaches, such as using nanoparticles, liposomes, or hydrogels.
tissue engineering scaffolds
Structures that support the growth of new tissue.
Tissue engineering scaffolds are artificial structures used to provide a framework for cells to grow and form new tissues. They are often made from biocompatible materials and can be designed to mimic the natural environment of the target tissue.
secondary structure conformation
The arrangement of polypeptide chains in a protein.
Secondary structure conformation refers to the local folding patterns within a protein molecule. These patterns include alpha-helices and beta-sheets, which are stabilized by hydrogen bonds between amino acid residues.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:44|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,819,581 | 232,866 | 16.40 | 1 hrs 28 mins |
| 2 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,853,807 | 269,026 | 10.61 | 2 hrs 16 mins |
| 3 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,273,847 | 249,843 | 9.10 | 2 hrs 38 mins |
| 4 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,011,452 | 238,953 | 8.42 | 2 hrs 51 mins |
| 5 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,757,063 | 228,613 | 7.69 | 3 hrs 7 mins |
| 6 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,605,705 | 224,754 | 7.14 | 3 hrs 22 mins |
| 7 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,216,943 | 202,398 | 6.01 | 3 hrs 59 mins |
| 8 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,100,505 | 67,606 | 16.28 | 1 hrs 28 mins |
| 9 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,092,110 | 195,103 | 5.60 | 4 hrs 17 mins |
| 10 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 721,914 | 177,008 | 4.08 | 5 hrs 53 mins |
| 11 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 633,304 | 120,987 | 5.23 | 4 hrs 35 mins |
| 12 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 592,590 | 67,606 | 8.77 | 2 hrs 44 mins |
| 13 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 566,054 | 67,606 | 8.37 | 2 hrs 52 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:44|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|