RESEARCH: CANCER
FOLDING PROJECT #15314 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 295,326Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to graspetides, a type of molecule that fights germs and viruses. Scientists will use computer simulations to understand how graspetides fold into different shapes and how these shapes determine their abilities.
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 special type of peptide made by bacteria. They have unique rings that give them strength and allow them to do things like fight germs, viruses, and even stop enzymes from working.
RiPPs
Ribosomally synthesized and post-translationally modified peptides
RiPPs are a broad category of peptides created by ribosomes (the protein-making machines in cells) that then go through extra modifications after they are made. This gives them special properties.
ATP-grasp ligase
An enzyme that uses ATP to form chemical bonds.
ATP-grasp ligases are enzymes that use energy from ATP (the cell's main energy source) to join molecules together. They are important in making many different types of biomolecules.
Macrolactam
A cyclic amide formed by the reaction of a carboxylic acid with an amine group.
Macrolactam is a special type of ring structure made from parts of proteins. They are important in giving peptides strength and stability.
Macrolactone
A cyclic ester formed by the reaction of a carboxylic acid with an alcohol group.
Macrolactone is another type of ring structure made from parts of proteins. They are important in giving peptides strength and stability.
Molecular Dynamics (MD)
A computer simulation method used to study the movement and interactions of atoms and molecules.
Molecular Dynamics (MD) simulations are like virtual experiments that let scientists see how atoms and molecules move and interact over time. They are used to understand how things work at the tiniest level.
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 | 47,835,916 | 75,587 | 632.86 | 0 hrs 2 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 23,844,509 | 494,627 | 48.21 | 0 hrs 30 mins |
| 3 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 23,423,707 | 75,587 | 309.89 | 0 hrs 5 mins |
| 4 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 18,573,577 | 557,772 | 33.30 | 0 hrs 43 mins |
| 5 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 16,773,488 | 309,736 | 54.15 | 0 hrs 27 mins |
| 6 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 15,830,937 | 180,071 | 87.91 | 0 hrs 16 mins |
| 7 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 14,159,067 | 75,587 | 187.32 | 0 hrs 8 mins |
| 8 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 12,275,369 | 563,314 | 21.79 | 1 hrs 6 mins |
| 9 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 11,909,197 | 231,573 | 51.43 | 0 hrs 28 mins |
| 10 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 10,834,357 | 611,469 | 17.72 | 1 hrs 21 mins |
| 11 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 10,812,818 | 610,386 | 17.71 | 1 hrs 21 mins |
| 12 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 9,956,286 | 75,587 | 131.72 | 0 hrs 11 mins |
| 13 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 8,235,777 | 360,473 | 22.85 | 1 hrs 3 mins |
| 14 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 7,615,559 | 75,587 | 100.75 | 0 hrs 14 mins |
| 15 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 7,325,414 | 198,350 | 36.93 | 0 hrs 39 mins |
| 16 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 7,111,810 | 75,587 | 94.09 | 0 hrs 15 mins |
| 17 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,758,454 | 75,587 | 89.41 | 0 hrs 16 mins |
| 18 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,367,197 | 512,495 | 12.42 | 1 hrs 56 mins |
| 19 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,930,035 | 75,587 | 78.45 | 0 hrs 18 mins |
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| 20 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,644,376 | 193,375 | 29.19 | 0 hrs 49 mins |
| 21 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,508,826 | 490,367 | 11.23 | 2 hrs 8 mins |
| 22 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 4,898,200 | 238,207 | 20.56 | 1 hrs 10 mins |
| 23 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 4,891,129 | 75,587 | 64.71 | 0 hrs 22 mins |
| 24 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,835,870 | 470,468 | 10.28 | 2 hrs 20 mins |
| 25 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 4,174,012 | 443,611 | 9.41 | 2 hrs 33 mins |
| 26 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,123,561 | 75,587 | 54.55 | 0 hrs 26 mins |
| 27 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,446,599 | 75,587 | 45.60 | 0 hrs 32 mins |
| 28 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,308,842 | 89,969 | 36.78 | 0 hrs 39 mins |
| 29 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,305,359 | 412,071 | 8.02 | 2 hrs 60 mins |
| 30 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 3,239,199 | 75,587 | 42.85 | 0 hrs 34 mins |
| 31 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,683,435 | 75,587 | 35.50 | 0 hrs 41 mins |
| 32 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,482,359 | 75,587 | 32.84 | 0 hrs 44 mins |
| 33 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,126,851 | 75,587 | 28.14 | 0 hrs 51 mins |
| 34 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,993,468 | 75,587 | 26.37 | 0 hrs 55 mins |
| 35 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,601,472 | 75,587 | 21.19 | 1 hrs 8 mins |
| 36 | Radeon RX 6650 XT Navi 23 [Radeon RX 6650 XT] |
AMD | Navi 23 | 1,329,721 | 75,587 | 17.59 | 1 hrs 22 mins |
| 37 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 585,725 | 125,360 | 4.67 | 5 hrs 8 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 |
|---|