RESEARCH: CANCER
FOLDING PROJECT #18923 PROFILE
PROJECT TEAM
Manager(s): Xuenan MiInstitution: University of Illinois Urbana-Champaign
Project URL: View Project Website
WORK UNIT INFO
Atoms: 158,000Core: 0x22
Status: Public
Related Projects
TLDR; 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.
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
Lanthipeptides
Ribosomally synthesized and post-translationally modified peptides.
Lanthipeptides are a class of antibiotics produced by bacteria. They are unique because they contain unusual amino acids that give them potent antimicrobial activity. Scientists are studying lanthipeptides to develop new drugs against antibiotic-resistant bacteria.
Ribosomally synthesized
The process of peptide production within ribosomes.
Ribosomes are cellular machines that build proteins. Ribosomally synthesized peptides are created by this process and often have specific functions like antibiotic activity.
Post-translationally modified
Chemical changes made to a peptide after its initial synthesis.
Post-translational modifications are crucial for proteins to perform their specific roles. In the case of lanthipeptides, these modifications create unique structures that give them their antimicrobial properties.
ProcM
Class II lanthipeptide synthetase.
ProcM is an enzyme that plays a key role in the production of lanthipeptides. Scientists are studying ProcM to understand how it works and potentially use it to create new antibiotics.
MD simulation
A computer simulation of molecular dynamics.
MD simulations allow researchers to study how molecules move and interact at the atomic level. This can help us understand complex biological processes like enzyme function.
Site-selectivity
The ability of an enzyme to selectively act on a particular substrate.
Site-selectivity is important for enzymes because it allows them to perform their specific functions accurately. In the case of ProcM, its site-selectivity determines which substrates it can modify to produce different types of lanthipeptides.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:26:42|
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 |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:26:42|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|