RESEARCH: CANCER
FOLDING PROJECT #15304 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 157,988Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project explores how a special enzyme called ProcM chooses specific spots on a peptide to modify. By using computer simulations, researchers will compare wild-type ProcM with a modified version (ProcA3.3) to understand its decision-making process for creating unique lanthipeptides with various helpful properties like fighting cancer and infections.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Lanthipeptides are a class of ribosomally synthesized and post-translationally modified peptides (RiPPs) produced from precursor peptides through dehydration and cyclization reactions.
They exhibit a broad range of bioactivities, including anticancer, antimicrobial, antiviral, and antiallodynic effects.
ProcM, a class II lanthipeptide synthetase, is notable for its high substrate tolerance.
Remarkably, this single enzyme can catalyze the cyclization of a diverse array of substrates with high fidelity—an ability that has been extensively leveraged in the bioengineering of novel lanthipeptides.
Despite this, the molecular mechanism by which ProcM determines the site-selectivity of its substrates remains unclear.
In this study, we aim to perform atomic-level molecular dynamics (MD) simulations of the wild-type (WT) and Variant ProcM–ProcA3.3 complexes to investigate the basis of ProcM's site-selectivity.
RELATED TERMS GLOSSARY AI BETA
Lanthipeptides
A class of antimicrobial peptides synthesized by bacteria.
Lanthipeptides are a type of antibiotic produced by some bacteria. They have a unique structure and function, making them effective against various infections. Researchers are studying their properties to develop new drugs and therapies.
Ribosomally synthesized and post-translationally modified peptides (RiPPs)
Ribosomally synthesized and post-translationally modified peptides (RiPPs)
RiPPs are a group of peptides that are made by ribosomes in bacteria. They undergo further modifications after synthesis, giving them specific properties and functions.
ProcM
A class II lanthipeptide synthetase
ProcM is an enzyme that helps in the production of lanthipeptides. It's particularly good at working with a variety of substrates, making it valuable for creating new types of these antibiotic peptides.
Site-selectivity
The ability of an enzyme to act on a specific site or location within a molecule.
Site-selectivity refers to the precision with which an enzyme binds and acts on a particular target molecule. In the case of ProcM, understanding its site-selectivity is crucial for designing new lanthipeptides with desired properties.
Molecular dynamics (MD) simulations
A computer-based method for simulating the movement of atoms and molecules.
Molecular dynamics simulations are used to study how molecules interact and behave over time. This technique helps researchers understand complex biological processes at the atomic level.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:52|
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 5090 GB202 [GeForce RTX 5090] |
Nvidia | GB202 | 27,394,044 | 71,111 | 385.23 | 0 hrs 4 mins |
| 2 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 18,270,311 | 447,606 | 40.82 | 0 hrs 35 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 16,357,772 | 247,424 | 66.11 | 0 hrs 22 mins |
| 4 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 15,557,308 | 168,687 | 92.23 | 0 hrs 16 mins |
| 5 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 15,187,215 | 71,111 | 213.57 | 0 hrs 7 mins |
| 6 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 13,072,124 | 150,441 | 86.89 | 0 hrs 17 mins |
| 7 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 12,635,949 | 383,129 | 32.98 | 0 hrs 44 mins |
| 8 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,194,297 | 507,911 | 22.04 | 1 hrs 5 mins |
| 9 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,966,872 | 426,765 | 25.70 | 0 hrs 56 mins |
| 10 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,178,040 | 410,392 | 22.36 | 1 hrs 4 mins |
| 11 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,834,629 | 493,507 | 17.90 | 1 hrs 20 mins |
| 12 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 8,402,875 | 71,111 | 118.17 | 0 hrs 12 mins |
| 13 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 8,038,693 | 71,111 | 113.04 | 0 hrs 13 mins |
| 14 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 7,672,747 | 71,111 | 107.90 | 0 hrs 13 mins |
| 15 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 6,472,069 | 71,111 | 91.01 | 0 hrs 16 mins |
| 16 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 6,436,217 | 259,164 | 24.83 | 0 hrs 58 mins |
| 17 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,241,430 | 453,355 | 13.77 | 1 hrs 45 mins |
| 18 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 6,022,370 | 448,741 | 13.42 | 1 hrs 47 mins |
| 19 | GeForce RTX 4080 Max-Q / Mobile AD104M [GeForce RTX 4080 Max-Q / Mobile] |
Nvidia | AD104M | 5,782,639 | 437,655 | 13.21 | 1 hrs 49 mins |
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| 20 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,235,923 | 151,606 | 34.54 | 0 hrs 42 mins |
| 21 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 5,108,426 | 71,111 | 71.84 | 0 hrs 20 mins |
| 22 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,891,697 | 343,569 | 14.24 | 1 hrs 41 mins |
| 23 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,799,760 | 71,111 | 67.50 | 0 hrs 21 mins |
| 24 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 4,745,150 | 413,372 | 11.48 | 2 hrs 5 mins |
| 25 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,724,531 | 163,961 | 28.81 | 0 hrs 50 mins |
| 26 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,415,199 | 326,625 | 13.52 | 1 hrs 47 mins |
| 27 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,140,830 | 393,570 | 10.52 | 2 hrs 17 mins |
| 28 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,858,537 | 71,111 | 54.26 | 0 hrs 27 mins |
| 29 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,781,116 | 71,111 | 53.17 | 0 hrs 27 mins |
| 30 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,530,481 | 94,734 | 37.27 | 0 hrs 39 mins |
| 31 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,463,582 | 373,231 | 9.28 | 2 hrs 35 mins |
| 32 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,375,622 | 71,111 | 47.47 | 0 hrs 30 mins |
| 33 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,271,673 | 365,664 | 8.95 | 2 hrs 41 mins |
| 34 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 2,959,542 | 118,212 | 25.04 | 0 hrs 58 mins |
| 35 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,656,221 | 71,111 | 37.35 | 0 hrs 39 mins |
| 36 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,587,271 | 71,111 | 36.38 | 0 hrs 40 mins |
| 37 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,479,069 | 71,111 | 34.86 | 0 hrs 41 mins |
| 38 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,452,633 | 71,111 | 34.49 | 0 hrs 42 mins |
| 39 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,296,847 | 324,780 | 7.07 | 3 hrs 24 mins |
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| 40 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 2,157,440 | 71,111 | 30.34 | 0 hrs 47 mins |
| 41 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,122,936 | 220,748 | 9.62 | 2 hrs 30 mins |
| 42 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,105,319 | 315,180 | 6.68 | 3 hrs 36 mins |
| 43 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,071,212 | 316,225 | 6.55 | 3 hrs 40 mins |
| 44 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 1,801,156 | 299,425 | 6.02 | 3 hrs 59 mins |
| 45 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,433,052 | 262,624 | 5.46 | 4 hrs 24 mins |
| 46 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,361,776 | 71,111 | 19.15 | 1 hrs 15 mins |
| 47 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,254,665 | 278,775 | 4.50 | 5 hrs 20 mins |
| 48 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,143,098 | 71,111 | 16.07 | 1 hrs 30 mins |
| 49 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 758,248 | 224,831 | 3.37 | 7 hrs 7 mins |
| 50 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 650,922 | 71,111 | 9.15 | 2 hrs 37 mins |
| 51 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 564,926 | 203,364 | 2.78 | 8 hrs 38 mins |
| 52 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 397,406 | 71,111 | 5.59 | 4 hrs 18 mins |
| 53 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 355,990 | 171,533 | 2.08 | 11 hrs 34 mins |
| 54 | Quadro K5200 GK110 [Quadro K5200] |
Nvidia | GK110 | 286,335 | 71,111 | 4.03 | 5 hrs 58 mins |
| 55 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 251,215 | 71,111 | 3.53 | 6 hrs 48 mins |
| 56 | RX Vega M GL Polaris 22 XL [RX Vega M GL] |
AMD | Polaris 22 XL | 237,828 | 71,111 | 3.34 | 7 hrs 11 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:52|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|