RESEARCH: CANCER
FOLDING PROJECT #15310 PROFILE

PROJECT TEAM

Manager(s): Miko Miwa
Institution: UIUC

WORK UNIT INFO

Atoms: 57,878
Core: 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

Note: Glossary items are a high level summary and may not be 100% accurate.

Graspetides

A class of ribosomally synthesized and post-translationally modified peptides (RiPPs).

Scientific: Biotechnology
Biotechnology / Peptide Synthesis

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

Scientific: Biotechnology
Biotechnology / Peptide Synthesis

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.

Scientific: Biotechnology
Biotechnology / Enzymology

ATP-grasp ligases are a type of enzyme that uses energy from ATP to join molecules together.


Macrolactam

A type of cyclic amide.

Scientific: Biotechnology
Biotechnology / Peptide Chemistry

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.

Scientific: Biotechnology
Biotechnology / Peptide Chemistry

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.

Scientific: Pharmaceuticals
Biotechnology / Drug Development

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.

Scientific: Pharmaceuticals
Biotechnology / Drug Development

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.

Scientific: Pharmaceuticals
Biotechnology / Drug Development

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

Scientific: Biotechnology
Biotechnology / Computational Biology

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.

Scientific: Biotechnology
Biotechnology / Computational Biology

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
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
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