RESEARCH: CANCER
FOLDING PROJECT #18927 PROFILE

PROJECT TEAM

Manager(s): Xuenan Mi
Institution: University of Illinois Urbana-Champaign
Project URL: View Project Website

WORK UNIT INFO

Atoms: 158,000
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how a special enzyme called ProcM picks the right spot to attach parts of a tiny protein. Scientists want to use this knowledge to design new medicines using these proteins, but they don't know exactly how ProcM works. So they are doing computer simulations to see how ProcM interacts with different parts of the protein.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL 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.

RELATED TERMS GLOSSARY AI BETA

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

Lanthipeptides

Ribosomally synthesized and post-translationally modified peptides.

Scientific: Pharmaceuticals
Biotechnology / Peptide Synthesis

Lanthipeptides are a class of antibiotics produced by bacteria. They are characterized by their unique structure, which includes the presence of dehydrated amino acids (lanthionine rings). Lanthipeptides have shown promising activity against a range of bacterial infections and are being investigated for potential use in new antimicrobial therapies.


ProcM

ProcM: Class II lanthipeptide synthetase.

Acronym: Pharmaceuticals
Biotechnology / Peptide Synthesis

ProcM is an enzyme that plays a crucial role in the biosynthesis of lanthipeptides. Specifically, it catalyzes the cyclization process, which is essential for forming the characteristic structure of these antibiotics. Researchers are interested in understanding the mechanism of ProcM and how it recognizes its substrates to potentially engineer new lanthipeptides with improved properties.


MD Simulation

Molecular Dynamics Simulation

Scientific: Pharmaceuticals
Biotechnology / Molecular Modeling

MD simulation is a computer-based method used to simulate the movement of atoms and molecules over time. This technique helps researchers understand how biomolecules interact and behave in complex environments. In the context of ProcM research, MD simulations are likely being used to explore how the enzyme interacts with its substrates at an atomic level.


Variant

A mutated or altered form of a protein.

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Variants are different versions of a protein that may have subtle changes in their amino acid sequence. These variations can alter the protein's function, stability, or interactions with other molecules. In this study, researchers are likely investigating how mutations in ProcM affect its site-selectivity.


Site-Selectivity

The ability of an enzyme to bind to and modify specific substrates.

Scientific: Pharmaceuticals
Biotechnology / Enzymology

Site-selectivity refers to the enzyme's ability to choose particular substrates from a mixture. In the case of ProcM, understanding its site-selectivity is crucial for designing new lanthipeptides with desired properties.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:26:37
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 16,092,907 448,535 35.88 0 hrs 40 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 14,831,668 320,782 46.24 0 hrs 31 mins
3 RTX 6000 Ada Generation
AD102GL [RTX 6000 Ada Generation]
Nvidia AD102GL 14,827,894 68,160 217.55 0 hrs 7 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 14,485,924 107,426 134.85 0 hrs 11 mins
5 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 9,517,326 108,948 87.36 0 hrs 16 mins
6 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 8,758,523 461,139 18.99 1 hrs 16 mins
7 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,698,156 468,211 18.58 1 hrs 18 mins
8 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 8,385,649 478,120 17.54 1 hrs 22 mins
9 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 7,803,656 427,015 18.27 1 hrs 19 mins
10 RTX 5000 Ada Generation Laptop GPU
AD103GLM [RTX 5000 Ada Generation Laptop GPU]
Nvidia AD103GLM 7,136,590 459,355 15.54 1 hrs 33 mins
11 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,107,559 413,162 14.78 1 hrs 37 mins
12 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 6,084,147 428,014 14.21 1 hrs 41 mins
13 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,908,156 432,402 13.66 1 hrs 45 mins
14 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 5,612,852 409,148 13.72 1 hrs 45 mins
15 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,521,970 68,160 81.01 0 hrs 18 mins
16 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 4,984,433 192,399 25.91 0 hrs 56 mins
17 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,815,586 404,245 11.91 2 hrs 1 mins
18 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,786,443 68,160 70.22 0 hrs 21 mins
19 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,758,385 404,633 11.76 2 hrs 2 mins
20 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,299,512 388,477 11.07 2 hrs 10 mins
21 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,512,880 357,364 9.83 2 hrs 26 mins
22 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,299,892 261,901 12.60 1 hrs 54 mins
23 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,870,230 214,234 13.40 1 hrs 47 mins
24 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,789,631 337,155 8.27 2 hrs 54 mins
25 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,706,878 334,081 8.10 2 hrs 58 mins
26 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,636,200 330,788 7.97 3 hrs 1 mins
27 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,305,811 315,578 7.31 3 hrs 17 mins
28 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 2,098,091 122,695 17.10 1 hrs 24 mins
29 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,041,159 202,860 10.06 2 hrs 23 mins
30 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,792,961 247,528 7.24 3 hrs 19 mins
31 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 1,432,207 68,160 21.01 1 hrs 9 mins
32 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,398,717 68,160 20.52 1 hrs 10 mins
33 Radeon RX 6400/6500XT
Navi 24 [Radeon RX 6400/6500XT]
AMD Navi 24 1,133,414 68,160 16.63 1 hrs 27 mins
34 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,128,005 251,202 4.49 5 hrs 21 mins
35 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,113,918 68,160 16.34 1 hrs 28 mins
36 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,091,377 141,147 7.73 3 hrs 6 mins
37 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 897,081 206,022 4.35 5 hrs 31 mins
38 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 767,597 162,501 4.72 5 hrs 5 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:26:37
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make