RESEARCH: CANCER
FOLDING PROJECT #18931 PROFILE
PROJECT TEAM
Manager(s): Song YinInstitution: University of Illinois Urbana-Champaign
Project URL: View Project Website
WORK UNIT INFO
Atoms: 111,618Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Lasso peptides are special molecules with a unique shape that could be used to make new drugs. This project will use computer simulations to learn how lasso peptides are made and figure out how their shape helps them work.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Lasso peptides are ribosomally synthesized and post-translationally modified peptide (RiPP) natural products that display a unique lariat-like, threaded conformation.
Some lasso peptides have been shown to bind human cell-surface receptors and exhibit anticancer properties, while others display antibacterial or antiviral bioactivities.
So studies on the lasso peptide synthesis will significantly facilitate the discovery and application of new drugs. Specifically, previous studies show that the unique lasso topology is formed by a macrolactam ring that is threaded by the C-terminal tail.
While not proven yet, the threading cannot occur after the ring formation.
The general proposed mechanism is that lasso peptide first form a prefolded lariat-like structure, then lasso peptide cyclase catalyzes the ring closure achieved by an isopeptide bond formed between the N-terminal α-amino group of a glycine, alanine, serine, or cysteine and the carboxylic acid side chain of an aspartate or glutamate, which can be located at positions 7, 8, or 9 of the amino acid sequence.
However, MD study on lasso peptide topology is very less and the detailed function of lasso peptide cyclase and the molecular mechanism of the whole lasso peptide cyclization process are not clear.
Therefore, in this study, we will perform Molecular Dynamic simulations for the system of lasso peptide or peptide with cyclase enzyme to explore lasso peptide topology and the cyclization mechanism.
RELATED TERMS GLOSSARY AI BETA
Lasso peptides
Ribosomally synthesized and post-translationally modified peptide natural products with a unique lariat-like structure.
Lasso peptides are a special type of naturally occurring molecule made by ribosomes. They have a distinctive shape resembling a lasso due to a loop formed within the molecule. These peptides exhibit diverse biological activities, including anticancer, antibacterial, and antiviral properties, making them attractive targets for drug development.
Ribosomally synthesized
Produced by ribosomes, the cellular machinery responsible for protein synthesis.
Ribosomally synthesized means that a molecule is made by ribosomes. Ribosomes are complex structures within cells that act as factories, assembling proteins according to instructions from DNA. Many important biomolecules, including peptides and proteins, are produced this way.
Post-translationally modified
Chemical alterations made to a protein after its initial synthesis by ribosomes.
Post-translationally modified means that changes are made to a protein molecule after it has been initially built. These modifications can alter the protein's function, location, or interactions with other molecules, playing crucial roles in cellular processes.
RiPP
Ribosomally synthesized and post-translationally modified peptides
RiPP stands for Ribosomally Synthesized and Post-Translationally Modified Peptides. It's a category of natural products derived from microorganisms with diverse biological activities.
Macrolactam ring
A cyclic structure formed by a lactam bond between an amino group and a carboxylic acid group within a peptide.
A macrolactam ring is a large ring-shaped structure found in certain peptides. It's formed when an amino group (NH2) and a carboxylic acid group (COOH) within the same molecule react, creating a special bond called a lactam bond.
Isopeptide bond
A peptide bond formed between a side chain of an amino acid and the carboxyl group of another amino acid.
An isopeptide bond is a specific type of chemical link found within proteins. It connects the side chain (R-group) of one amino acid to the carboxyl group (-COOH) of another amino acid. These bonds are important for protein structure and function.
Molecular Dynamic simulations
Computer-based methods used to simulate the movement and interactions of atoms and molecules over time.
Molecular Dynamic simulations are powerful tools used in computational biology. They involve using computers to model the movements and interactions of atoms within molecules over time. This allows scientists to study how molecules behave, interact, and change shape.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:26:31|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,104,061 | 36,863 | 138.46 | 0 hrs 10 mins |
| 2 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 3,082,119 | 124,277 | 24.80 | 0 hrs 58 mins |
| 3 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,659,243 | 136,642 | 19.46 | 1 hrs 14 mins |
| 4 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,476,678 | 27,560 | 89.86 | 0 hrs 16 mins |
| 5 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,338,601 | 67,669 | 34.56 | 0 hrs 42 mins |
| 6 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,306,838 | 27,560 | 83.70 | 0 hrs 17 mins |
| 7 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,166,257 | 102,646 | 21.10 | 1 hrs 8 mins |
| 8 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,130,324 | 131,410 | 16.21 | 1 hrs 29 mins |
| 9 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,904,987 | 128,358 | 14.84 | 1 hrs 37 mins |
| 10 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,619,996 | 27,560 | 58.78 | 0 hrs 24 mins |
| 11 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,477,067 | 110,235 | 13.40 | 1 hrs 47 mins |
| 12 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,431,845 | 87,046 | 16.45 | 1 hrs 28 mins |
| 13 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,406,578 | 115,871 | 12.14 | 1 hrs 59 mins |
| 14 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,388,865 | 27,560 | 50.39 | 0 hrs 29 mins |
| 15 | RTX A2000 Mobile GA107GLM [RTX A2000 Mobile] |
Nvidia | GA107GLM | 1,298,696 | 27,560 | 47.12 | 0 hrs 31 mins |
| 16 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 1,297,401 | 27,560 | 47.08 | 0 hrs 31 mins |
| 17 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,256,343 | 112,364 | 11.18 | 2 hrs 9 mins |
| 18 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,233,081 | 27,560 | 44.74 | 0 hrs 32 mins |
| 19 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,193,703 | 104,509 | 11.42 | 2 hrs 6 mins |
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| 20 | Quadro P2000 GP106GL [Quadro P2000] [MED-XN71] 3935 |
Nvidia | GP106GL | 1,182,250 | 27,560 | 42.90 | 0 hrs 34 mins |
| 21 | CMP 30HX TU116 [CMP 30HX] |
Nvidia | TU116 | 1,123,577 | 27,560 | 40.77 | 0 hrs 35 mins |
| 22 | GeForce GTX 1070 Mobile GP104M [GeForce GTX 1070 Mobile] |
Nvidia | GP104M | 1,066,406 | 27,560 | 38.69 | 0 hrs 37 mins |
| 23 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,046,857 | 53,475 | 19.58 | 1 hrs 14 mins |
| 24 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 1,011,669 | 90,330 | 11.20 | 2 hrs 9 mins |
| 25 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 963,657 | 27,560 | 34.97 | 0 hrs 41 mins |
| 26 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 938,360 | 27,560 | 34.05 | 0 hrs 42 mins |
| 27 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 808,284 | 93,985 | 8.60 | 2 hrs 47 mins |
| 28 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 798,410 | 95,964 | 8.32 | 2 hrs 53 mins |
| 29 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 710,837 | 93,047 | 7.64 | 3 hrs 8 mins |
| 30 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 703,290 | 36,901 | 19.06 | 1 hrs 16 mins |
| 31 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 702,147 | 92,424 | 7.60 | 3 hrs 10 mins |
| 32 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 647,546 | 27,560 | 23.50 | 1 hrs 1 mins |
| 33 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 639,999 | 89,970 | 7.11 | 3 hrs 22 mins |
| 34 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 625,114 | 33,535 | 18.64 | 1 hrs 17 mins |
| 35 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 582,865 | 27,560 | 21.15 | 1 hrs 8 mins |
| 36 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 557,554 | 55,790 | 9.99 | 2 hrs 24 mins |
| 37 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 507,619 | 45,094 | 11.26 | 2 hrs 8 mins |
| 38 | GeForce GTX Titan Z GK110 [GeForce GTX Titan Z] 8122 |
Nvidia | GK110 | 436,360 | 78,401 | 5.57 | 4 hrs 19 mins |
| 39 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 312,196 | 27,560 | 11.33 | 2 hrs 7 mins |
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| 40 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 302,744 | 34,510 | 8.77 | 2 hrs 44 mins |
| 41 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 301,625 | 59,973 | 5.03 | 4 hrs 46 mins |
| 42 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 249,163 | 36,602 | 6.81 | 3 hrs 32 mins |
| 43 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 231,347 | 29,232 | 7.91 | 3 hrs 2 mins |
| 44 | Quadro T400 Mobile TU117GLM [Quadro T400 Mobile] |
Nvidia | TU117GLM | 209,147 | 27,560 | 7.59 | 3 hrs 10 mins |
| 45 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 158,803 | 27,560 | 5.76 | 4 hrs 10 mins |
| 46 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 151,296 | 55,379 | 2.73 | 8 hrs 47 mins |
| 47 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 97,901 | 28,243 | 3.47 | 6 hrs 55 mins |
| 48 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 95,758 | 40,840 | 2.34 | 10 hrs 14 mins |
| 49 | GeForce MX250 GP108M [GeForce MX250] |
Nvidia | GP108M | 90,112 | 50,867 | 1.77 | 13 hrs 33 mins |
| 50 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 41,378 | 36,121 | 1.15 | 20 hrs 57 mins |
| 51 | GeForce GT 710 GK208B [GeForce GT 710] 366 |
Nvidia | GK208B | 8,970 | 27,560 | 0.33 | 73 hrs 44 mins |
| 52 | Quadro K420 GK107 [Quadro K420] |
Nvidia | GK107 | 8,469 | 27,560 | 0.31 | 78 hrs 6 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:26:31|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | RYZEN 5 3600X 6-CORE | 12 | AMD | ||
| 2 | XEON CPU E5-2666 V3 @ 2.90GHZ | 20 | Intel |