Research section Research projects and references

Research: CANCER Folding Project #18923

Project #18923 overview

Project Summary AI Beta

This project relates to understanding how a special enzyme called ProcM picks the right spot on molecules to make new medicines. Researchers will use computer simulations to see how ProcM works in two different versions, hoping to unlock secrets for creating better drugs.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Xuenan Mi
Institution
University of Illinois Urbana-Champaign

Work unit

Atoms
158,000
Core
0x22
Status
Public

No related projects listed.

Source material

Official Project Description

Lanthipeptides are ribosomally synthesized and post-translationally modified peptides that are generated from precursor peptides through a dehydration and cyclization process.

Lanthipeptides have demonstrated a variety of bioactivities, including anticancer, antimicrobial, antiviral, and antiallodynic activities.

ProcM, a class II lanthipeptide synthetase, demonstrates high substrate tolerance.

It is enigmatic that a single enzyme can catalyze the cyclization process of many substrates with high fidelity.

This feature has been widely utilized for bioengineering of novel lanthipeptides.

However, the molecular mechanism about how ProcM determines site-selectivity of its substrates is still unclear.

In this study, we would like to run atomic-level MD simulation for WT and Variant ProcM-ProcA3.3 complex to explore the site-selectivity of ProcM.

Performance data

Hardware Performance for Project 18923

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

Data as of Friday, 14 August 2026 15:24:18

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 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 14,172,194 549,453 25.79 0 hrs 56 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 11,739,646 520,409 22.56 1 hrs 4 mins
3 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 8,247,453 462,464 17.83 1 hrs 21 mins
4 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,143,637 441,801 16.17 1 hrs 29 mins
5 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,396,542 427,144 14.98 1 hrs 36 mins
6 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 6,222,361 421,258 14.77 1 hrs 37 mins
7 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 6,197,248 385,520 16.08 1 hrs 30 mins
8 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 4,955,413 391,982 12.64 1 hrs 54 mins
9 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,216,664 338,419 9.50 2 hrs 31 mins
10 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 2,855,735 326,085 8.76 2 hrs 44 mins
11 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,409,914 309,893 7.78 3 hrs 5 mins
12 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,223,546 300,851 7.39 3 hrs 15 mins
13 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,958,711 287,249 6.82 3 hrs 31 mins
14 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,943,701 289,654 6.71 3 hrs 35 mins
15 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 837,532 233,379 3.59 6 hrs 41 mins
16 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 313,864 171,285 1.83 13 hrs 6 mins