RESEARCH: REFLECTIN-PEPTIDE-CONFORMATION
FOLDING PROJECT #12130 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 396,000Core: 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
reflectin-derived peptides
Peptides synthesized from reflectin proteins.
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.
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.
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.
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.
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.
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.
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.
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.
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 |
|---|