RESEARCH: CANCER
FOLDING PROJECT #15315 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 164,561Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to studying graspetides, which are tiny, ring-shaped proteins with various uses like fighting infections. Scientists will use computer simulations to figure out how these rings form and if different types of graspetides have unique ways of building their structure.
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 special type of peptide produced by living organisms. They have unique structures with rings that make them very stable. These rings also give them different abilities, like fighting infections or blocking enzymes.
Ribosomally synthesized and post-translationally modified peptides (RiPPs)
Ribosomally synthesized and post-translationally modified peptides.
RiPPs are a type of peptide made by ribosomes (the protein factories in cells). After they're made, they go through changes to become more specialized. These changes can make them useful for fighting infections or doing other jobs.
ATP-grasp ligase
An enzyme that uses ATP to join molecules together.
ATP-grasp ligases are enzymes that help cells build larger molecules. They use energy from ATP (the cell's fuel) to connect smaller pieces together.
Macrolactam
A type of cyclic amide formed by a reaction between an amine and a carboxylic acid.
Macrolactam is a special kind of ring structure found in some peptides. It's made when two parts of the peptide join together to form a closed loop.
Macrolactone
A type of cyclic ester formed by a reaction between an alcohol and a carboxylic acid.
Macrolactone is another type of ring structure found in some peptides. It's made when two parts of the peptide join together to form a closed loop, but this time with an oxygen atom instead of nitrogen.
Molecular dynamics (MD) simulations
Computer simulations that model the motion of atoms and molecules.
Molecular dynamics simulations are like computer games for scientists. They help us understand how molecules move and interact with each other.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:46|
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 | 36,343,749 | 29,050 | 1251.08 | 0 hrs 1 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 21,013,962 | 237,448 | 88.50 | 0 hrs 16 mins |
| 3 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 20,083,397 | 29,050 | 691.34 | 0 hrs 2 mins |
| 4 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 16,345,103 | 144,282 | 113.29 | 0 hrs 13 mins |
| 5 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 16,231,236 | 340,863 | 47.62 | 0 hrs 30 mins |
| 6 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 13,387,777 | 59,715 | 224.19 | 0 hrs 6 mins |
| 7 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 13,174,686 | 604,597 | 21.79 | 1 hrs 6 mins |
| 8 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 12,030,055 | 29,050 | 414.12 | 0 hrs 3 mins |
| 9 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 10,992,541 | 285,132 | 38.55 | 0 hrs 37 mins |
| 10 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,733,733 | 115,876 | 92.63 | 0 hrs 16 mins |
| 11 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 10,163,903 | 29,050 | 349.88 | 0 hrs 4 mins |
| 12 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,227,607 | 234,110 | 39.42 | 0 hrs 37 mins |
| 13 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,011,940 | 237,483 | 37.95 | 0 hrs 38 mins |
| 14 | GeForce RTX 4090 Laptop GPU AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU] |
Nvidia | AD103M / GN21-X11 | 7,526,595 | 29,050 | 259.09 | 0 hrs 6 mins |
| 15 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 7,167,915 | 29,050 | 246.74 | 0 hrs 6 mins |
| 16 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,920,725 | 205,306 | 33.71 | 0 hrs 43 mins |
| 17 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,719,514 | 29,050 | 231.31 | 0 hrs 6 mins |
| 18 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 6,163,982 | 29,050 | 212.19 | 0 hrs 7 mins |
| 19 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 6,021,990 | 29,050 | 207.30 | 0 hrs 7 mins |
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| 20 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,739,855 | 205,139 | 27.98 | 0 hrs 51 mins |
| 21 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 5,716,078 | 491,691 | 11.63 | 2 hrs 4 mins |
| 22 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,697,819 | 29,050 | 196.14 | 0 hrs 7 mins |
| 23 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,355,606 | 83,302 | 64.29 | 0 hrs 22 mins |
| 24 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,561,845 | 239,134 | 19.08 | 1 hrs 15 mins |
| 25 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,517,070 | 29,050 | 155.49 | 0 hrs 9 mins |
| 26 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 4,426,584 | 105,331 | 42.03 | 0 hrs 34 mins |
| 27 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 4,288,642 | 237,854 | 18.03 | 1 hrs 20 mins |
| 28 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 4,078,703 | 174,333 | 23.40 | 1 hrs 2 mins |
| 29 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,340,890 | 29,050 | 115.00 | 0 hrs 13 mins |
| 30 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,327,058 | 29,050 | 114.53 | 0 hrs 13 mins |
| 31 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,225,519 | 215,105 | 15.00 | 1 hrs 36 mins |
| 32 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 2,930,907 | 29,050 | 100.89 | 0 hrs 14 mins |
| 33 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,690,484 | 29,050 | 92.62 | 0 hrs 16 mins |
| 34 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,325,009 | 29,050 | 80.03 | 0 hrs 18 mins |
| 35 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,571,594 | 29,050 | 54.10 | 0 hrs 27 mins |
| 36 | Radeon RX 6650 XT Navi 23 [Radeon RX 6650 XT] |
AMD | Navi 23 | 1,277,762 | 29,050 | 43.98 | 0 hrs 33 mins |
| 37 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 555,552 | 29,050 | 19.12 | 1 hrs 15 mins |
| 38 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 526,003 | 29,050 | 18.11 | 1 hrs 20 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:46|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|