Research section Research projects and references

Research: CANCER Folding Project #15311

Project #15311 overview

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.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Miko Miwa
Institution
UIUC

Work unit

Atoms
50,072
Core
0x27
Status
Public
Source material

Official 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.

Performance data

Hardware Performance for Project 15311

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Friday, 14 August 2026 15:38:32

GPU PPD Averages

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 13,079,933 26,038 502.34 0 hrs 3 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 12,343,913 17,889 690.03 0 hrs 2 mins
5 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 8,876,096 26,786 331.37 0 hrs 4 mins
6 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 8,830,085 4,843 1823.27 0 hrs 1 mins
7 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 8,098,943 32,088 252.40 0 hrs 6 mins
8 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,649,702 25,568 260.08 0 hrs 6 mins
9 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,527,159 40,841 159.82 0 hrs 9 mins
10 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,335,436 79,912 79.28 0 hrs 18 mins
11 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
12 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
13 GeForce RTX 5070 Ti Mobile
GB205M [GeForce RTX 5070 Ti Mobile]
Nvidia GB205M 4,805,143 4,843 992.18 0 hrs 1 mins
14 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 4,749,983 4,843 980.79 0 hrs 1 mins
15 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 4,419,433 22,812 193.73 0 hrs 7 mins
16 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,268,886 70,386 60.65 0 hrs 24 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
GA104 [GeForce RTX 3070]
Nvidia GA104 3,860,405 69,555 55.50 0 hrs 26 mins
19 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
20 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,885,489 4,843 595.81 0 hrs 2 mins
21 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 2,534,561 59,170 42.84 0 hrs 34 mins
22 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,496,549 59,397 42.03 0 hrs 34 mins
23 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
24 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,354,096 4,843 486.08 0 hrs 3 mins
25 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
26 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,046,335 52,287 39.14 0 hrs 37 mins
27 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,508,144 50,662 29.77 0 hrs 48 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