RESEARCH: CANCER
FOLDING PROJECT #15308 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 52,273Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how graspetides, special ring-shaped proteins, are made. By using computer simulations, researchers will figure out the steps involved in creating these rings and see if different types of graspetides have unique ways of building their structures.
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.
Graspetides are a unique type of protein made by living organisms. They have a ring-like structure that makes them very stable and useful for various applications like fighting infections or blocking enzymes.
RiPPs
Ribosomally synthesized and post-translationally modified peptides.
RiPPs are a type of protein made by ribosomes (the cell's protein factories) that undergo further modifications after synthesis. These modifications often include the formation of rings, making them unique and useful.
Macrolactam
A cyclic amide formed by a reaction between an amine and a carboxylic acid.
Macrolactam is a type of chemical ring formed when an amine (a molecule with nitrogen) reacts with a carboxylic acid. This structure is often found in peptides like graspetides.
Macrolactone
A cyclic ester formed by a reaction between an alcohol and a carboxylic acid.
Macrolactone is another type of chemical ring found in some peptides. It's formed when an alcohol reacts with a carboxylic acid, creating a stable structure.
Antimicrobial
Having the ability to kill or inhibit the growth of microorganisms.
Antimicrobial refers to substances that fight infections by killing or stopping the growth of germs like bacteria, viruses, and fungi. These are important for treating diseases.
Molecular Dynamics (MD)
A computer simulation method used to study the movement and interactions of atoms and molecules over time.
Molecular Dynamics (MD) is a powerful tool used in computer simulations. It helps scientists understand how molecules move and interact with each other, which is crucial for studying things like drug design and protein folding.
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 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 13,848,465 | 20,906 | 662.42 | 0 hrs 2 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 13,728,460 | 17,507 | 784.17 | 0 hrs 2 mins |
| 3 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 13,626,287 | 9,649 | 1412.20 | 0 hrs 1 mins |
| 4 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 9,689,796 | 17,521 | 553.04 | 0 hrs 3 mins |
| 5 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 9,633,647 | 5,305 | 1815.96 | 0 hrs 1 mins |
| 6 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,631,678 | 53,936 | 178.58 | 0 hrs 8 mins |
| 7 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 8,926,232 | 310,273 | 28.77 | 0 hrs 50 mins |
| 8 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,560,051 | 22,379 | 337.82 | 0 hrs 4 mins |
| 9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,461,748 | 85,979 | 75.15 | 0 hrs 19 mins |
| 10 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,079,156 | 5,305 | 1145.93 | 0 hrs 1 mins |
| 11 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,643,840 | 28,956 | 194.91 | 0 hrs 7 mins |
| 12 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,226,615 | 79,660 | 65.61 | 0 hrs 22 mins |
| 13 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 5,059,845 | 55,031 | 91.95 | 0 hrs 16 mins |
| 14 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,026,776 | 5,305 | 947.55 | 0 hrs 2 mins |
| 15 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,948,721 | 5,305 | 932.84 | 0 hrs 2 mins |
| 16 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,760,375 | 53,355 | 89.22 | 0 hrs 16 mins |
| 17 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,400,992 | 75,077 | 58.62 | 0 hrs 25 mins |
| 18 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 4,397,435 | 5,305 | 828.92 | 0 hrs 2 mins |
| 19 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 4,147,680 | 5,305 | 781.84 | 0 hrs 2 mins |
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| 20 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 3,972,758 | 5,305 | 748.87 | 0 hrs 2 mins |
| 21 | GeForce RTX 4090 Laptop GPU AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU] |
Nvidia | AD103M / GN21-X11 | 3,704,367 | 5,305 | 698.28 | 0 hrs 2 mins |
| 22 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,981,455 | 66,022 | 45.16 | 0 hrs 32 mins |
| 23 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,952,261 | 5,305 | 556.51 | 0 hrs 3 mins |
| 24 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,693,435 | 25,029 | 107.61 | 0 hrs 13 mins |
| 25 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,679,631 | 16,933 | 158.25 | 0 hrs 9 mins |
| 26 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,401,240 | 5,305 | 452.64 | 0 hrs 3 mins |
| 27 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,295,406 | 5,305 | 432.69 | 0 hrs 3 mins |
| 28 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,256,461 | 5,305 | 425.35 | 0 hrs 3 mins |
| 29 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,031,070 | 60,177 | 33.75 | 0 hrs 43 mins |
| 30 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,021,098 | 59,619 | 33.90 | 0 hrs 42 mins |
| 31 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,727,649 | 58,546 | 29.51 | 0 hrs 49 mins |
| 32 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 1,558,805 | 17,652 | 88.31 | 0 hrs 16 mins |
| 33 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,352,468 | 28,231 | 47.91 | 0 hrs 30 mins |
| 34 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,345,560 | 5,305 | 253.64 | 0 hrs 6 mins |
| 35 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,290,319 | 51,063 | 25.27 | 0 hrs 57 mins |
| 36 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,127,755 | 5,305 | 212.58 | 0 hrs 7 mins |
| 37 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 743,556 | 41,967 | 17.72 | 1 hrs 21 mins |
| 38 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 296,901 | 30,993 | 9.58 | 2 hrs 30 mins |
| 39 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 101,178 | 5,305 | 19.07 | 1 hrs 16 mins |
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| 40 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 86,025 | 20,526 | 4.19 | 5 hrs 44 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 |
|---|