RESEARCH: REFLECTIN-PEPTIDE-STRUCTURE
FOLDING PROJECT #12122 PROFILE

PROJECT TEAM

Manager(s): Hassan Nadeem
Institution: University of Illinois at Urbana-Champaign

WORK UNIT INFO

Atoms: 50,000
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at special peptides from squid and octopus that change color. Scientists want to understand how these peptides fold into different shapes, which could lead to new ways to diagnose and treat diseases.

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

Note: Glossary items are a high level summary and may not be 100% accurate.

Reflectin-derived peptides

Peptides derived from reflectin proteins, known for their unique properties.

Technical: Biotechnology
Biomedical Applications / Therapeutic Agents

Reflectin-derived peptides are short chains of amino acids created from reflectin proteins. These peptides have exciting potential in medicine due to their ability to change based on their environment (like light or pH). This makes them useful for things like biosensors, delivering drugs, and even building artificial tissues. Scientists are also exploring how these peptides can help diagnose and treat diseases.


Cephalopods

A group of marine mollusks that includes squid and octopus.

Scientific: Research
Biology / Marine Invertebrates

Cephalopods are fascinating sea creatures like squid and octopus. They are known for their intelligence, complex nervous systems, and ability to change color and texture to blend in with their surroundings.


Biosensors

Devices that use biological components to detect and measure specific analytes.

Technical: Healthcare
Biotechnology / Medical Diagnostics

Biosensors are like tiny detectors that use living things or their parts to find and measure things in our environment. They're used in medical tests to check for diseases, in food safety to detect harmful bacteria, and even in environmental monitoring to track pollution.


Drug Delivery Systems

Systems designed to deliver drugs to specific target sites in the body.

Technical: Pharmaceuticals
Pharmacology / Nanotechnology

Drug delivery systems are like smart packages that carry medicine directly to where it's needed in the body. This can make treatments more effective and reduce side effects.


Tissue Engineering

The field of using cells, biomaterials, and biochemical factors to create functional tissues.

Technical: Healthcare
Biomedical Engineering / Regenerative Medicine

Tissue engineering is like building new tissues in the lab. Scientists use special materials and cells to grow replacement tissues that can be used to repair damaged organs or even create whole organs.


Mutant Peptides

Peptides with altered amino acid sequences from their natural counterparts.

Technical: Research
Biotechnology / Protein Engineering

Mutant peptides are like slightly changed versions of normal peptides. Scientists create these changes to see how they affect the peptide's function and potential uses.


Secondary Structure Conformation

The local folding patterns of proteins.

Scientific: Research
Biochemistry / Protein Structure

Proteins have a specific shape that's important for their function. Secondary structure conformation refers to the way parts of a protein fold into regular shapes like helices or sheets.

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 3,999,072 188,805 21.18 1 hrs 8 mins
2 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 3,162,145 67,500 46.85 0 hrs 31 mins
3 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,520,234 164,122 15.36 1 hrs 34 mins
4 GeForce RTX 2060 12GB
TU106 [GeForce RTX 2060 12GB]
Nvidia TU106 2,470,429 250,231 9.87 2 hrs 26 mins
5 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,377,474 252,005 9.43 2 hrs 33 mins
6 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,034,240 240,013 8.48 2 hrs 50 mins
7 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 1,900,180 125,873 15.10 1 hrs 35 mins
8 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,818,739 67,500 26.94 0 hrs 53 mins
9 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,382,959 195,072 7.09 3 hrs 23 mins
10 GeForce RTX 2070 Mobile
TU106M [GeForce RTX 2070 Mobile]
Nvidia TU106M 1,232,355 203,388 6.06 3 hrs 58 mins
11 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,150,478 151,459 7.60 3 hrs 10 mins
12 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,096,662 195,315 5.61 4 hrs 16 mins
13 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,082,841 68,145 15.89 1 hrs 31 mins
14 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 963,994 67,500 14.28 1 hrs 41 mins
15 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 696,427 67,500 10.32 2 hrs 20 mins
16 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 534,779 67,500 7.92 3 hrs 2 mins
17 Radeon Vega FE
Vega 10 XTX [Radeon Vega FE]
AMD Vega 10 XTX 528,523 164,070 3.22 7 hrs 27 mins
18 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 512,220 163,652 3.13 7 hrs 40 mins
19 R9 Fury X/NANO
Fiji XT [R9 Fury X/NANO]
AMD Fiji XT 347,706 67,500 5.15 4 hrs 40 mins
20 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 188,780 108,736 1.74 13 hrs 49 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