RESEARCH: CANCER
FOLDING PROJECT #15311 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 50,072Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project investigates how graspetides, a type of antibiotic molecule, fold into their unique shapes. By using computer simulations, researchers will explore how the building blocks and folding pathways determine the order in which rings form within these molecules. The goal is to understand if different types of graspetides have preferences for specific ring formation patterns.
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 peptides with macrocyclic structures.
Graspetides are a type of naturally occurring molecule made by bacteria. They have rings in their structure which give them special properties like fighting infections and blocking enzymes.
Ribosomally Synthesized Peptides (RiPPs)
Ribosomally synthesized peptides (RiPPs) are a class of antimicrobial peptides produced by ribosomes.
RiPPs are small proteins made by ribosomes in bacteria. They are often used to fight off other microbes.
Macrolactam
A cyclic amide with a large ring structure.
Macrolactam is a type of molecule with a large ring that contains both an amine group and a carbonyl group.
Macrolactone
A cyclic ester with a large ring structure.
Macrolactone is a type of molecule with a large ring that contains both an ester group and an oxygen atom.
ATP-grasp ligase
An enzyme that catalyzes the formation of macrocycles in peptides using ATP.
ATP-grasp ligase is an enzyme that helps make large rings in proteins using energy from ATP.
Molecular Dynamics (MD) Simulations
Computer simulations that model the movement and interactions of atoms in molecules.
MD simulations are computer programs that can show how atoms in molecules move and interact over time.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:48|
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 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 32,478,761 | 474,748 | 68.41 | 0 hrs 21 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 14,147,017 | 28,040 | 504.53 | 0 hrs 3 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 13,528,392 | 18,363 | 736.72 | 0 hrs 2 mins |
| 4 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 12,987,524 | 16,778 | 774.08 | 0 hrs 2 mins |
| 5 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 12,910,519 | 350,181 | 36.87 | 0 hrs 39 mins |
| 6 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 9,138,661 | 25,480 | 358.66 | 0 hrs 4 mins |
| 7 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 8,752,502 | 4,843 | 1807.25 | 0 hrs 1 mins |
| 8 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 7,937,531 | 30,600 | 259.40 | 0 hrs 6 mins |
| 9 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,649,702 | 25,568 | 260.08 | 0 hrs 6 mins |
| 10 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,527,159 | 40,841 | 159.82 | 0 hrs 9 mins |
| 11 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,335,436 | 79,912 | 79.28 | 0 hrs 18 mins |
| 12 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,779,372 | 4,843 | 1193.35 | 0 hrs 1 mins |
| 13 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,877,867 | 50,646 | 96.31 | 0 hrs 15 mins |
| 14 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 4,805,143 | 4,843 | 992.18 | 0 hrs 1 mins |
| 15 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,749,983 | 4,843 | 980.79 | 0 hrs 1 mins |
| 16 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 4,419,433 | 22,812 | 193.73 | 0 hrs 7 mins |
| 17 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 4,216,564 | 4,843 | 870.65 | 0 hrs 2 mins |
| 18 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,202,674 | 70,490 | 59.62 | 0 hrs 24 mins |
| 19 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,860,405 | 69,555 | 55.50 | 0 hrs 26 mins |
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| 20 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 3,654,564 | 66,748 | 54.75 | 0 hrs 26 mins |
| 21 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,070,705 | 4,843 | 634.05 | 0 hrs 2 mins |
| 22 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,885,489 | 4,843 | 595.81 | 0 hrs 2 mins |
| 23 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,496,549 | 59,397 | 42.03 | 0 hrs 34 mins |
| 24 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,366,112 | 4,843 | 488.56 | 0 hrs 3 mins |
| 25 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,354,096 | 4,843 | 486.08 | 0 hrs 3 mins |
| 26 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,185,264 | 4,843 | 451.22 | 0 hrs 3 mins |
| 27 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,037,391 | 48,304 | 42.18 | 0 hrs 34 mins |
| 28 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,280,799 | 4,843 | 264.46 | 0 hrs 5 mins |
| 29 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,235,814 | 4,843 | 255.18 | 0 hrs 6 mins |
| 30 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,120,045 | 4,843 | 231.27 | 0 hrs 6 mins |
| 31 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 748,771 | 22,355 | 33.49 | 0 hrs 43 mins |
| 32 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 700,591 | 38,812 | 18.05 | 1 hrs 20 mins |
| 33 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 379,716 | 31,576 | 12.03 | 1 hrs 60 mins |
| 34 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 221,368 | 26,498 | 8.35 | 2 hrs 52 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:48|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|