Research section Research projects and references

Research: CANCER Folding Project #15322

Project #15322 overview

Project Summary AI Beta

This project relates to understanding how graspetides, special molecules with unique rings, are made. Researchers will use computer simulations to see how the parts of graspetides interact and figure out the order in which the rings form. This could lead to new ways to make these useful molecules for medicine.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Miko Miwa
Institution
UIUC

Work unit

Atoms
105,909
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 the interactions between graspetide precursor peptides and their respective ATP-grasp ligases using atomic-level molecular dynamics (MD) simulations.

By comparing the folding trajectories of these systems under differing conditions, we aim to identify and assess patterns in ring closure preference.

Performance data

Hardware Performance for Project 15322

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

Data as of Friday, 14 August 2026 15:38:23

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 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,299,983 15,182 349.10 0 hrs 4 mins
2 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,109,537 163,186 31.31 0 hrs 46 mins
3 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 4,816,343 15,182 317.24 0 hrs 5 mins
4 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 4,756,917 15,182 313.33 0 hrs 5 mins
5 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 3,693,992 15,182 243.31 0 hrs 6 mins
6 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 3,520,151 15,182 231.86 0 hrs 6 mins
7 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]
Intel Battlemage G21 2,842,671 15,182 187.24 0 hrs 8 mins
8 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,123,721 69,249 30.67 0 hrs 47 mins
9 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 170,852 15,182 11.25 2 hrs 8 mins
10 gfx1036
Raphael [gfx1036]
AMD Raphael 20,518 26,093 0.79 30 hrs 31 mins