RESEARCH: CANCER
FOLDING PROJECT #15308 PROFILE

PROJECT TEAM

Manager(s): Miko Miwa
Institution: UIUC

WORK UNIT INFO

Atoms: 52,273
Core: 0x27
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how graspetides, special ring-shaped proteins, are made. By using computer simulations, researchers will figure out the steps involved in creating these rings and see if different types of graspetides have unique ways of building their 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.

Scientific: Pharmaceutical
Biotechnology / Peptide Synthesis

Graspetides are a unique type of protein made by living organisms. They have a ring-like structure that makes them very stable and useful for various applications like fighting infections or blocking enzymes.


RiPPs

Ribosomally synthesized and post-translationally modified peptides.

Scientific Acronym: Pharmaceutical
Biotechnology / Peptide Synthesis

RiPPs are a type of protein made by ribosomes (the cell's protein factories) that undergo further modifications after synthesis. These modifications often include the formation of rings, making them unique and useful.


Macrolactam

A cyclic amide formed by a reaction between an amine and a carboxylic acid.

Scientific: Pharmaceutical
Biotechnology / Peptide Synthesis

Macrolactam is a type of chemical ring formed when an amine (a molecule with nitrogen) reacts with a carboxylic acid. This structure is often found in peptides like graspetides.


Macrolactone

A cyclic ester formed by a reaction between an alcohol and a carboxylic acid.

Scientific: Pharmaceutical
Biotechnology / Peptide Synthesis

Macrolactone is another type of chemical ring found in some peptides. It's formed when an alcohol reacts with a carboxylic acid, creating a stable structure.


Antimicrobial

Having the ability to kill or inhibit the growth of microorganisms.

Scientific: Pharmaceutical
Medicine / Infectious Disease

Antimicrobial refers to substances that fight infections by killing or stopping the growth of germs like bacteria, viruses, and fungi. These are important for treating diseases.


Molecular Dynamics (MD)

A computer simulation method used to study the movement and interactions of atoms and molecules over time.

Scientific: Pharmaceutical
Biotechnology / Computational Biology

Molecular Dynamics (MD) is a powerful tool used in computer simulations. It helps scientists understand how molecules move and interact with each other, which is crucial for studying things like drug design and protein folding.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:31:49
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 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 13,848,465 20,906 662.42 0 hrs 2 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 13,728,460 17,507 784.17 0 hrs 2 mins
3 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 13,626,287 9,649 1412.20 0 hrs 1 mins
4 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 9,689,796 17,521 553.04 0 hrs 3 mins
5 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 9,633,647 5,305 1815.96 0 hrs 1 mins
6 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 9,631,678 53,936 178.58 0 hrs 8 mins
7 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 8,926,232 310,273 28.77 0 hrs 50 mins
8 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,560,051 22,379 337.82 0 hrs 4 mins
9 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,461,748 85,979 75.15 0 hrs 19 mins
10 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 6,079,156 5,305 1145.93 0 hrs 1 mins
11 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,643,840 28,956 194.91 0 hrs 7 mins
12 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,226,615 79,660 65.61 0 hrs 22 mins
13 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 5,059,845 55,031 91.95 0 hrs 16 mins
14 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,026,776 5,305 947.55 0 hrs 2 mins
15 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 4,948,721 5,305 932.84 0 hrs 2 mins
16 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,760,375 53,355 89.22 0 hrs 16 mins
17 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,400,992 75,077 58.62 0 hrs 25 mins
18 GeForce RTX 5070 Ti Mobile
GB205M [GeForce RTX 5070 Ti Mobile]
Nvidia GB205M 4,397,435 5,305 828.92 0 hrs 2 mins
19 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 4,147,680 5,305 781.84 0 hrs 2 mins
20 GeForce RTX 4070 Max-Q / Mobile
AD106M [GeForce RTX 4070 Max-Q / Mobile]
Nvidia AD106M 3,972,758 5,305 748.87 0 hrs 2 mins
21 GeForce RTX 4090 Laptop GPU
AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU]
Nvidia AD103M / GN21-X11 3,704,367 5,305 698.28 0 hrs 2 mins
22 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,981,455 66,022 45.16 0 hrs 32 mins
23 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,952,261 5,305 556.51 0 hrs 3 mins
24 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,693,435 25,029 107.61 0 hrs 13 mins
25 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,679,631 16,933 158.25 0 hrs 9 mins
26 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,401,240 5,305 452.64 0 hrs 3 mins
27 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,295,406 5,305 432.69 0 hrs 3 mins
28 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,256,461 5,305 425.35 0 hrs 3 mins
29 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,031,070 60,177 33.75 0 hrs 43 mins
30 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,021,098 59,619 33.90 0 hrs 42 mins
31 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,727,649 58,546 29.51 0 hrs 49 mins
32 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 1,558,805 17,652 88.31 0 hrs 16 mins
33 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,352,468 28,231 47.91 0 hrs 30 mins
34 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,345,560 5,305 253.64 0 hrs 6 mins
35 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,290,319 51,063 25.27 0 hrs 57 mins
36 RTX A1000
GA107GL [RTX A1000]
Nvidia GA107GL 1,127,755 5,305 212.58 0 hrs 7 mins
37 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 743,556 41,967 17.72 1 hrs 21 mins
38 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 296,901 30,993 9.58 2 hrs 30 mins
39 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 101,178 5,305 19.07 1 hrs 16 mins
40 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 86,025 20,526 4.19 5 hrs 44 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:31:49
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make