RESEARCH: CANCER
FOLDING PROJECT #15310 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 57,878Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how tiny proteins called graspetides fold into shapes that give them special powers like fighting viruses and bacteria. Using computer simulations, scientists will compare how different types of graspetides fold to understand the rules behind their unique 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 (RiPPs).
Graspetides are a special type of peptide produced by living organisms. They have unique ring structures that make them strong and able to perform many different tasks, 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 being made, they undergo further modifications to become active.
ATP-grasp ligase
An enzyme that uses ATP to form chemical bonds.
ATP-grasp ligases are a type of enzyme that uses energy from ATP to join molecules together.
Macrolactam
A type of cyclic amide.
Macrolactam is a ring-shaped molecule containing an amide bond. They are found in some peptides and give them stability.
Macrolactone
A type of cyclic ester.
Macrolactone is a ring-shaped molecule containing an ester bond. They are found in some peptides and give them stability.
Antimicrobial
Having the ability to kill or inhibit the growth of microorganisms.
Antimicrobial refers to substances that can fight against infections caused by bacteria, viruses, fungi, or parasites.
Antiviral
Having the ability to inhibit the replication of viruses.
Antiviral refers to substances that can stop or slow down the growth and spread of viruses.
Enzyme inhibitory
Having the ability to inhibit the activity of enzymes.
Enzyme inhibitors are molecules that can block or slow down the action of enzymes. They are often used in drugs to treat various diseases.
Molecular dynamics (MD)
Molecular dynamics
MD simulations are computer models that track the movement of atoms and molecules over time. This helps scientists understand how proteins fold and interact.
Folding trajectories
The path that a molecule takes as it folds into its final shape.
Folding trajectories show the step-by-step process of how a protein or other molecule folds into its correct three-dimensional structure.
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 17,665,034 | 39,443 | 447.86 | 0 hrs 3 mins |
| 2 | GeForce RTX 5090 GB202 [GeForce RTX 5090] |
Nvidia | GB202 | 17,176,960 | 6,316 | 2719.59 | 0 hrs 1 mins |
| 3 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 14,757,845 | 10,621 | 1389.50 | 0 hrs 1 mins |
| 4 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 14,673,153 | 18,639 | 787.23 | 0 hrs 2 mins |
| 5 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 10,853,579 | 41,794 | 259.69 | 0 hrs 6 mins |
| 6 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 10,610,046 | 6,316 | 1679.87 | 0 hrs 1 mins |
| 7 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,299,001 | 37,796 | 272.49 | 0 hrs 5 mins |
| 8 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 10,091,495 | 95,720 | 105.43 | 0 hrs 14 mins |
| 9 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 8,966,161 | 6,316 | 1419.59 | 0 hrs 1 mins |
| 10 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,833,470 | 106,572 | 82.89 | 0 hrs 17 mins |
| 11 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 7,635,342 | 293,313 | 26.03 | 0 hrs 55 mins |
| 12 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 7,616,104 | 6,316 | 1205.84 | 0 hrs 1 mins |
| 13 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,687,688 | 79,584 | 84.03 | 0 hrs 17 mins |
| 14 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 6,088,631 | 6,316 | 964.00 | 0 hrs 1 mins |
| 15 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,988,384 | 6,316 | 948.13 | 0 hrs 2 mins |
| 16 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,463,719 | 42,789 | 127.69 | 0 hrs 11 mins |
| 17 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 5,276,358 | 6,316 | 835.40 | 0 hrs 2 mins |
| 18 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,146,010 | 6,316 | 814.76 | 0 hrs 2 mins |
| 19 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,081,055 | 38,786 | 131.00 | 0 hrs 11 mins |
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| 20 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 4,664,391 | 6,316 | 738.50 | 0 hrs 2 mins |
| 21 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 4,482,963 | 6,316 | 709.78 | 0 hrs 2 mins |
| 22 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,318,654 | 6,316 | 525.44 | 0 hrs 3 mins |
| 23 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,284,136 | 6,316 | 519.97 | 0 hrs 3 mins |
| 24 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,102,331 | 75,943 | 40.85 | 0 hrs 35 mins |
| 25 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,816,732 | 74,187 | 37.97 | 0 hrs 38 mins |
| 26 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,601,581 | 73,026 | 35.63 | 0 hrs 40 mins |
| 27 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 2,568,384 | 69,725 | 36.84 | 0 hrs 39 mins |
| 28 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,563,723 | 6,316 | 405.91 | 0 hrs 4 mins |
| 29 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,408,267 | 6,316 | 381.30 | 0 hrs 4 mins |
| 30 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,245,073 | 55,746 | 40.27 | 0 hrs 36 mins |
| 31 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,654,465 | 64,407 | 25.69 | 0 hrs 56 mins |
| 32 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,567,205 | 6,316 | 248.13 | 0 hrs 6 mins |
| 33 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 1,223,201 | 6,316 | 193.67 | 0 hrs 7 mins |
| 34 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,175,696 | 6,316 | 186.15 | 0 hrs 8 mins |
| 35 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 895,120 | 6,316 | 141.72 | 0 hrs 10 mins |
| 36 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 841,933 | 49,403 | 17.04 | 1 hrs 24 mins |
| 37 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 340,620 | 6,316 | 53.93 | 0 hrs 27 mins |
| 38 | Quadro K5200 GK110 [Quadro K5200] |
Nvidia | GK110 | 262,677 | 6,316 | 41.59 | 0 hrs 35 mins |
| 39 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 191,950 | 13,926 | 13.78 | 1 hrs 44 mins |
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|
|||||||
| 40 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 104,417 | 6,316 | 16.53 | 1 hrs 27 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 |
|---|