RESEARCH: REFLECTIN-PEPTIDE-CONFORMATION
FOLDING PROJECT #12130 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 396,000
Core: 0x24
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at special peptides inspired by how squid and octopus change color. These peptides can be shaped to do things like sense light, deliver medicine, or help build new tissues. The project focuses on four different versions of these peptides to see how they fold into unique shapes.

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 synthesized from reflectin proteins.

Scientific: Medicine, Biotechnology
Biotechnology / Protein Engineering

Reflectin-derived peptides are short chains of amino acids created from the reflectin protein found in cephalopods. These peptides have unique properties like the ability to change color when exposed to light and form organized structures. Scientists are exploring their use in biosensors, drug delivery systems, and tissue engineering due to their versatility and biocompatibility.


therapeutic agents

Substances used to treat or prevent diseases.

Scientific: Medicine, Biotechnology
Pharmacology / Drug Development

Therapeutic agents are medical substances designed to cure, prevent, or alleviate diseases. This broad category includes medications, vaccines, and other treatments used in healthcare.


biomedical applications

Uses of biological systems or processes in medicine.

Scientific: Medicine, Biotechnology
Biotechnology / Medical Research

Biomedical applications involve using living organisms or their components to advance healthcare. This includes research, development, and application of technologies like genetic engineering, stem cell therapy, and drug discovery.


peptides

Short chains of amino acids.

Scientific: Medicine, Biotechnology
Biochemistry / Protein Chemistry

Peptides are short chains of amino acids, the building blocks of proteins. They play various roles in biological processes, including signaling, immunity, and metabolism.


cephalopods

A class of marine mollusks that includes squid and octopuses.

Scientific: Research
Zoology / Marine Biology

Cephalopods are a group of intelligent marine animals known for their complex nervous systems and ability to change color. They include squid, octopuses, cuttlefish, and nautiluses.


self-assembly

The spontaneous organization of molecules into ordered structures.

Scientific: Biotechnology, Nanotechnology
Nanotechnology / Materials Science

Self-assembly is a process where molecules spontaneously arrange themselves into organized structures without external guidance. This phenomenon is observed in nature and is utilized in various fields like materials science and nanotechnology.


biosensors

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

Scientific: Medicine, Biotechnology
Biotechnology / Diagnostics

Biosensors are devices that combine biological components like enzymes or antibodies with electronic sensors. They are used in various applications, including disease diagnosis, environmental monitoring, and food safety testing.


drug delivery systems

Methods for delivering drugs to specific targets in the body.

Scientific: Medicine, Biotechnology
Pharmacology / Drug Design

Drug delivery systems aim to transport medications efficiently and specifically to targeted areas within the body. This improves treatment effectiveness while minimizing side effects.


tissue engineering

The use of cells, scaffolds, and growth factors to create functional tissues.

Scientific: Medicine, Biotechnology
Biotechnology / Regenerative Medicine

Tissue engineering involves creating new tissues or organs in the lab using a combination of cells, supporting materials (scaffolds), and growth factors. This field holds promise for repairing damaged tissues and organs.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:35:40
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 5090
GB202 [GeForce RTX 5090]
Nvidia GB202 46,607,978 371,500 125.46 0 hrs 11 mins
2 RTX PRO 6000 Blackwell Server Edition
GB202GL [RTX PRO 6000 Blackwell Server Edition]
Nvidia GB202GL 42,302,269 371,500 113.87 0 hrs 13 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 27,281,406 1,318,404 20.69 1 hrs 10 mins
4 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 22,190,806 461,786 48.05 0 hrs 30 mins
5 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 19,930,167 694,822 28.68 0 hrs 50 mins
6 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 19,835,989 1,171,930 16.93 1 hrs 25 mins
7 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 19,332,184 788,121 24.53 0 hrs 59 mins
8 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 15,546,573 518,193 30.00 0 hrs 48 mins
9 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 13,860,201 1,920,134 7.22 3 hrs 19 mins
10 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 13,054,100 1,178,829 11.07 2 hrs 10 mins
11 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 13,015,411 1,901,931 6.84 3 hrs 30 mins
12 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 11,684,537 1,695,185 6.89 3 hrs 29 mins
13 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 11,614,030 517,231 22.45 1 hrs 4 mins
14 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 11,229,211 1,667,290 6.74 3 hrs 34 mins
15 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 10,880,896 1,774,616 6.13 3 hrs 55 mins
16 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 7,848,364 1,590,742 4.93 4 hrs 52 mins
17 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 7,582,438 795,121 9.54 2 hrs 31 mins
18 GeForce RTX 4080 Max-Q / Mobile
AD104M [GeForce RTX 4080 Max-Q / Mobile]
Nvidia AD104M 6,780,754 1,493,608 4.54 5 hrs 17 mins
19 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 6,606,648 1,298,212 5.09 4 hrs 43 mins
20 RTX A4500
GA102GL [RTX A4500]
Nvidia GA102GL 6,372,176 371,500 17.15 1 hrs 24 mins
21 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 6,050,155 1,473,513 4.11 5 hrs 51 mins
22 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 5,690,985 371,500 15.32 1 hrs 34 mins
23 RTX PRO 6000 Blackwell Max-Q Workstation Edition
GB202GL [RTX PRO 6000 Blackwell Max-Q Workstation Edition]
Nvidia GB202GL 5,348,330 371,500 14.40 1 hrs 40 mins
24 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,814,907 918,800 5.24 4 hrs 35 mins
25 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,614,129 694,156 6.65 3 hrs 37 mins
26 TITAN RTX
TU102 [TITAN RTX] 16310
Nvidia TU102 4,449,577 371,500 11.98 2 hrs 0 mins
27 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 4,214,703 750,051 5.62 4 hrs 16 mins
28 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 4,171,926 471,922 8.84 2 hrs 43 mins
29 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,089,445 371,500 11.01 2 hrs 11 mins
30 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 3,999,156 984,849 4.06 5 hrs 55 mins
31 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,809,855 371,500 10.26 2 hrs 20 mins
32 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 3,504,441 371,500 9.43 2 hrs 33 mins
33 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,499,170 1,214,963 2.88 8 hrs 20 mins
34 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 3,308,926 1,162,784 2.85 8 hrs 26 mins
35 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,062,378 371,500 8.24 2 hrs 55 mins
36 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 3,059,535 371,500 8.24 2 hrs 55 mins
37 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 2,943,214 371,500 7.92 3 hrs 2 mins
38 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,899,421 1,042,739 2.78 8 hrs 38 mins
39 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,830,820 371,500 7.62 3 hrs 9 mins
40 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]
Intel Battlemage G21 2,566,515 516,968 4.96 4 hrs 50 mins
41 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 1,845,354 371,500 4.97 4 hrs 50 mins
42 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,479,476 887,857 1.67 14 hrs 24 mins
43 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 1,362,875 371,500 3.67 6 hrs 33 mins
44 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 1,127,911 807,072 1.40 17 hrs 10 mins
45 RX 5500(M)/Pro 5500M
Navi 14 [RX 5500(M)/Pro 5500M]
AMD Navi 14 99,142 371,500 0.27 89 hrs 56 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:35:40
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make