RESEARCH: CANCER
FOLDING PROJECT #15309 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 66,837Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project investigates how different types of graspetides, small proteins with unique rings, fold into their shapes. By using computer simulations, researchers will explore the order in which these rings form and try to understand what makes each type of graspetide unique.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Graspetides are a class of ribosomally synthesized and post-translationally modified peptides (RiPPs) characterized by the ATP-grasp ligase–catalyzed macrolactam or macrolactone linkages in their structure.
These macrocycles impart structural stability and diverse bioactivities, including antimicrobial, antiviral, and enzyme inhibitory effects.
Graspetides are classified into distinct groups based on sequence motifs, cyclization patterns, and biosynthetic machinery.
While each group exhibits characteristic ring topologies, the molecular basis by which core peptide sequence and folding pathways dictate the order of ring formation remains poorly understood. In this study, we will investigate model species from multiple graspetide groups using atomic-level molecular dynamics (MD) simulations.
By comparing folding trajectories across these representative systems, we aim to identify conserved and group-specific determinants of ring pattern formation, and to assess whether distinct biosynthetic groups exhibit preferences for particular ring closure orders.
RELATED TERMS GLOSSARY AI BETA
Graspetides
A class of ribosomally synthesized and post-translationally modified peptides (RiPPs).
Graspetides are a type of peptide produced by living organisms. They have unique structures with rings called macrolactam or macrolactone linkages. These rings make them strong and give them various abilities, such as fighting bacteria and viruses. Scientists are studying how graspetides form these rings and what makes different types unique.
Ribosomally synthesized and post-translationally modified peptides (RiPPs)
Ribosomally synthesized and post-translationally modified peptides (RiPPs)
RiPPs are a special type of peptide made by ribosomes (the protein factories in cells). After being made by ribosomes, RiPPs go through changes that make them more complex and useful. They have many important functions in living things.
Macrolactam
A cyclic amide formed by the reaction of an amine with a carboxylic acid.
Macrolactam is a type of ring structure found in some peptides. It's formed when a part of the peptide chain connects back to itself through a chemical bond. This makes the peptide more stable and can give it special properties.
Macrolactone
A cyclic ester formed by the reaction of a carboxylic acid with an alcohol.
Macrolactone is another type of ring structure found in some peptides. It's formed when a part of the peptide chain connects back to itself through a different chemical bond. Like macrolactam, it makes the peptide more stable and can give it special properties.
Molecular dynamics (MD)
Molecular dynamics (MD)
Molecular dynamics is a computer simulation technique used to study how atoms and molecules move and interact over time. It's a powerful tool for understanding the behavior of complex systems like proteins and DNA.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:49|
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 | 20,658,913 | 7,838 | 2635.74 | 0 hrs 1 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 16,913,503 | 34,851 | 485.31 | 0 hrs 3 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 15,227,143 | 21,817 | 697.95 | 0 hrs 2 mins |
| 4 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 14,211,006 | 16,230 | 875.60 | 0 hrs 2 mins |
| 5 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 11,819,532 | 35,951 | 328.77 | 0 hrs 4 mins |
| 6 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 11,457,593 | 7,838 | 1461.80 | 0 hrs 1 mins |
| 7 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 10,601,162 | 108,276 | 97.91 | 0 hrs 15 mins |
| 8 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 9,851,592 | 70,742 | 139.26 | 0 hrs 10 mins |
| 9 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 9,346,549 | 7,838 | 1192.47 | 0 hrs 1 mins |
| 10 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 8,295,915 | 7,838 | 1058.42 | 0 hrs 1 mins |
| 11 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,841,074 | 83,134 | 94.32 | 0 hrs 15 mins |
| 12 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,017,646 | 7,838 | 895.34 | 0 hrs 2 mins |
| 13 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,990,873 | 114,403 | 61.11 | 0 hrs 24 mins |
| 14 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 6,582,463 | 7,838 | 839.81 | 0 hrs 2 mins |
| 15 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,498,258 | 7,838 | 829.07 | 0 hrs 2 mins |
| 16 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 6,308,244 | 276,217 | 22.84 | 1 hrs 3 mins |
| 17 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,550,747 | 106,708 | 52.02 | 0 hrs 28 mins |
| 18 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,506,498 | 56,026 | 98.28 | 0 hrs 15 mins |
| 19 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,388,450 | 7,838 | 687.48 | 0 hrs 2 mins |
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| 20 | GeForce RTX 5060 GB206 [GeForce RTX 5060] |
Nvidia | GB206 | 5,284,162 | 7,838 | 674.17 | 0 hrs 2 mins |
| 21 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,266,207 | 68,617 | 76.75 | 0 hrs 19 mins |
| 22 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 4,943,472 | 7,838 | 630.71 | 0 hrs 2 mins |
| 23 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 4,908,032 | 7,838 | 626.18 | 0 hrs 2 mins |
| 24 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,379,718 | 99,621 | 43.96 | 0 hrs 33 mins |
| 25 | RTX 4000 SFF Ada Generation AD104GL [RTX 4000 SFF Ada Generation] |
Nvidia | AD104GL | 4,354,263 | 7,838 | 555.53 | 0 hrs 3 mins |
| 26 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 3,737,013 | 91,896 | 40.67 | 0 hrs 35 mins |
| 27 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,320,872 | 7,838 | 423.69 | 0 hrs 3 mins |
| 28 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,281,642 | 7,838 | 418.68 | 0 hrs 3 mins |
| 29 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,023,852 | 86,864 | 34.81 | 0 hrs 41 mins |
| 30 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,824,429 | 85,719 | 32.95 | 0 hrs 44 mins |
| 31 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,505,173 | 7,838 | 319.62 | 0 hrs 5 mins |
| 32 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,357,684 | 7,838 | 300.80 | 0 hrs 5 mins |
| 33 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,343,219 | 33,323 | 70.32 | 0 hrs 20 mins |
| 34 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,254,918 | 7,838 | 287.69 | 0 hrs 5 mins |
| 35 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,434,173 | 46,177 | 31.06 | 0 hrs 46 mins |
| 36 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,329,045 | 7,838 | 169.56 | 0 hrs 8 mins |
| 37 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,320,405 | 7,838 | 168.46 | 0 hrs 9 mins |
| 38 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 1,276,382 | 7,838 | 162.85 | 0 hrs 9 mins |
| 39 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,188,569 | 7,838 | 151.64 | 0 hrs 9 mins |
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| 40 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 829,362 | 56,880 | 14.58 | 1 hrs 39 mins |
| 41 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 447,224 | 45,165 | 9.90 | 2 hrs 25 mins |
| 42 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 104,919 | 7,838 | 13.39 | 1 hrs 48 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:49|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|