RESEARCH: CANCER
FOLDING PROJECT #15300 PROFILE
PROJECT TEAM
Manager(s): Miko MiwaInstitution: UIUC
WORK UNIT INFO
Atoms: 157,982Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Lanthipeptides are powerful natural compounds that can fight diseases. ProcM is a special enzyme that makes these compounds, but scientists don't fully understand how it chooses the right spot to build them. This project uses computer simulations to study how ProcM works at the atomic level, hoping to unlock its secrets and create even better medicines.
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 ribosomally synthesized peptides with post-translational modifications.
Lanthipeptides are a type of antibiotic produced by bacteria. They have a unique structure that allows them to kill other bacteria. Researchers are studying lanthipeptides for their potential use in new drugs.
Ribosomally synthesized and post-translationally modified peptides (RiPPs)
Ribosomally synthesized and post-translationally modified peptides
RiPPs are a class of antibiotics produced by bacteria. They are made in the ribosome like other proteins, but then undergo further modifications after they are made.
ProcM
Lanthipeptide synthetase enzyme
ProcM is an enzyme that helps bacteria make lanthipeptides. Scientists are studying ProcM to learn how it works and how it can be used to create new antibiotics.
Substrate tolerance
The ability of an enzyme to act on a variety of molecules.
Substrate tolerance is important for enzymes like ProcM because it allows them to make different types of antibiotics.
Molecular dynamics (MD) simulations
Computer simulations of molecular movement and interactions.
MD simulations are used to study how molecules move and interact. They can be used to understand how enzymes like ProcM work.
Site-selectivity
The ability of an enzyme to act on a specific site within a molecule.
Site-selectivity is important for enzymes like ProcM because it allows them to make specific types of antibiotics.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:54|
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 | 19,670,252 | 411,995 | 47.74 | 0 hrs 30 mins |
| 2 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 16,590,937 | 162,299 | 102.22 | 0 hrs 14 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 15,522,929 | 188,177 | 82.49 | 0 hrs 17 mins |
| 4 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 11,340,564 | 237,914 | 47.67 | 0 hrs 30 mins |
| 5 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 11,153,398 | 522,363 | 21.35 | 1 hrs 7 mins |
| 6 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 10,352,640 | 183,953 | 56.28 | 0 hrs 26 mins |
| 7 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,217,165 | 473,749 | 19.46 | 1 hrs 14 mins |
| 8 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,138,905 | 520,879 | 17.55 | 1 hrs 22 mins |
| 9 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 8,252,011 | 72,263 | 114.19 | 0 hrs 13 mins |
| 10 | GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile] |
Nvidia | GB205M | 8,083,600 | 72,263 | 111.86 | 0 hrs 13 mins |
| 11 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,785,150 | 333,789 | 20.33 | 1 hrs 11 mins |
| 12 | GeForce RTX 4080 Max-Q / Mobile AD104M [GeForce RTX 4080 Max-Q / Mobile] |
Nvidia | AD104M | 6,780,103 | 469,637 | 14.44 | 1 hrs 40 mins |
| 13 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 6,636,096 | 281,429 | 23.58 | 1 hrs 1 mins |
| 14 | GeForce RTX 5060 GB206 [GeForce RTX 5060] |
Nvidia | GB206 | 5,761,524 | 72,263 | 79.73 | 0 hrs 18 mins |
| 15 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,738,902 | 177,798 | 32.28 | 0 hrs 45 mins |
| 16 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,697,430 | 429,507 | 13.27 | 1 hrs 49 mins |
| 17 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 5,231,741 | 434,854 | 12.03 | 1 hrs 60 mins |
| 18 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 5,031,688 | 72,263 | 69.63 | 0 hrs 21 mins |
| 19 | Instinct MI300X Aqua Vanjaram [Instinct MI300X] |
AMD | Aqua Vanjaram | 4,835,123 | 72,263 | 66.91 | 0 hrs 22 mins |
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| 20 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,827,427 | 269,446 | 17.92 | 1 hrs 20 mins |
| 21 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,669,011 | 129,651 | 36.01 | 0 hrs 40 mins |
| 22 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 4,607,757 | 97,753 | 47.14 | 0 hrs 31 mins |
| 23 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,085,986 | 72,263 | 56.54 | 0 hrs 25 mins |
| 24 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,867,904 | 369,165 | 10.48 | 2 hrs 17 mins |
| 25 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,723,740 | 72,263 | 51.53 | 0 hrs 28 mins |
| 26 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,711,203 | 72,263 | 51.36 | 0 hrs 28 mins |
| 27 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 3,464,655 | 72,263 | 47.95 | 0 hrs 30 mins |
| 28 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,385,976 | 315,111 | 10.75 | 2 hrs 14 mins |
| 29 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,216,898 | 89,276 | 36.03 | 0 hrs 40 mins |
| 30 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,167,870 | 72,263 | 43.84 | 0 hrs 33 mins |
| 31 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 Super] |
Nvidia | TU106 | 2,933,473 | 232,251 | 12.63 | 1 hrs 54 mins |
| 32 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,852,302 | 72,263 | 39.47 | 0 hrs 36 mins |
| 33 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,791,359 | 350,171 | 7.97 | 3 hrs 1 mins |
| 34 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,774,300 | 72,263 | 38.39 | 0 hrs 38 mins |
| 35 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 2,754,192 | 72,263 | 38.11 | 0 hrs 38 mins |
| 36 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,748,565 | 280,248 | 9.81 | 2 hrs 27 mins |
| 37 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,518,654 | 72,263 | 34.85 | 0 hrs 41 mins |
| 38 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 2,501,551 | 72,263 | 34.62 | 0 hrs 42 mins |
| 39 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,378,805 | 72,263 | 32.92 | 0 hrs 44 mins |
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|
|||||||
| 40 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,301,997 | 72,263 | 31.86 | 0 hrs 45 mins |
| 41 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,100,599 | 277,423 | 7.57 | 3 hrs 10 mins |
| 42 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,813,654 | 146,380 | 12.39 | 1 hrs 56 mins |
| 43 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 1,702,379 | 238,583 | 7.14 | 3 hrs 22 mins |
| 44 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,411,304 | 72,263 | 19.53 | 1 hrs 14 mins |
| 45 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,385,719 | 278,871 | 4.97 | 4 hrs 50 mins |
| 46 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,374,616 | 87,897 | 15.64 | 1 hrs 32 mins |
| 47 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,221,405 | 180,826 | 6.75 | 3 hrs 33 mins |
| 48 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,168,973 | 72,263 | 16.18 | 1 hrs 29 mins |
| 49 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,033,556 | 72,263 | 14.30 | 1 hrs 41 mins |
| 50 | RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M] |
AMD | Navi 14 | 732,406 | 72,263 | 10.14 | 2 hrs 22 mins |
| 51 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 713,598 | 241,488 | 2.96 | 8 hrs 7 mins |
| 52 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 654,417 | 72,263 | 9.06 | 2 hrs 39 mins |
| 53 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 365,946 | 72,263 | 5.06 | 4 hrs 44 mins |
| 54 | Radeon PRO W6400 Navi 24 [Radeon PRO W6400] |
AMD | Navi 24 | 363,310 | 72,263 | 5.03 | 4 hrs 46 mins |
| 55 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 330,811 | 72,263 | 4.58 | 5 hrs 15 mins |
| 56 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 312,457 | 76,983 | 4.06 | 5 hrs 55 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:54|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|