RESEARCH: CANCER
FOLDING PROJECT #18929 PROFILE
PROJECT TEAM
Manager(s): Song YinInstitution: University of Illinois Urbana-Champaign
Project URL: View Project Website
WORK UNIT INFO
Atoms: 79,636Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies lasso peptides, unique protein-like molecules with potential medical uses like fighting cancer or infections. Scientists aren't sure exactly how these peptides form their distinctive shape, so they'll use computer simulations to understand the process and explore how to create new ones for medicine.
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 peptides with a unique lariat-like structure.
Lasso peptides are a type of natural product made by bacteria. They have a special shape that looks like a lasso, and they can be used to fight cancer, bacteria, or viruses.
RiPP
Ribosomally Synthesized and Post-translationally Modified Peptides
RiPP stands for Ribosomally Synthesized and Post-translationally Modified Peptides. They are a class of peptides that are made by ribosomes (the protein factories in cells) and then modified after they are made.
Macrolactam ring
A large cyclic amide formed by a reaction between an amine and a carboxylic acid group.
A macrolactam ring is a type of ring structure found in some peptides. It is made when a nitrogen atom (amine) reacts with a carbon atom (carboxylic acid) to form a bond.
Isopeptide bond
A covalent bond formed between the carboxyl group of one amino acid and an amino group on another amino acid.
An isopeptide bond is a special type of chemical bond that connects two amino acids. It helps to form the structure of some important molecules in our bodies.
Molecular Dynamic simulations
Computer simulations that model the movement of atoms and molecules over time.
Molecular Dynamic simulations are used to study how molecules move and interact. They can help scientists understand how proteins work, how drugs bind to targets, and more.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:26:34|
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 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 10,809,943 | 254,809 | 42.42 | 0 hrs 34 mins |
| 2 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 4,710,912 | 216,275 | 21.78 | 1 hrs 6 mins |
| 3 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,546,744 | 16,700 | 272.26 | 0 hrs 5 mins |
| 4 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,527,248 | 102,926 | 24.55 | 0 hrs 59 mins |
| 5 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,483,755 | 16,700 | 148.73 | 0 hrs 10 mins |
| 6 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,379,287 | 40,634 | 58.55 | 0 hrs 25 mins |
| 7 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,209,741 | 56,959 | 38.80 | 0 hrs 37 mins |
| 8 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,145,287 | 95,707 | 22.42 | 1 hrs 4 mins |
| 9 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,109,488 | 16,700 | 126.32 | 0 hrs 11 mins |
| 10 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,104,032 | 55,246 | 38.08 | 0 hrs 38 mins |
| 11 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,715,733 | 88,524 | 19.38 | 1 hrs 14 mins |
| 12 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,522,305 | 86,063 | 17.69 | 1 hrs 21 mins |
| 13 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 1,288,404 | 16,700 | 77.15 | 0 hrs 19 mins |
| 14 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,269,909 | 79,516 | 15.97 | 1 hrs 30 mins |
| 15 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,168,544 | 78,409 | 14.90 | 1 hrs 37 mins |
| 16 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,149,787 | 66,125 | 17.39 | 1 hrs 23 mins |
| 17 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 1,108,793 | 16,700 | 66.39 | 0 hrs 22 mins |
| 18 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,074,765 | 38,135 | 28.18 | 0 hrs 51 mins |
| 19 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 1,044,861 | 16,700 | 62.57 | 0 hrs 23 mins |
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|
|||||||
| 20 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 935,324 | 26,576 | 35.19 | 0 hrs 41 mins |
| 21 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 911,604 | 16,700 | 54.59 | 0 hrs 26 mins |
| 22 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 868,065 | 67,986 | 12.77 | 1 hrs 53 mins |
| 23 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 817,535 | 69,590 | 11.75 | 2 hrs 3 mins |
| 24 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 758,083 | 64,411 | 11.77 | 2 hrs 2 mins |
| 25 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 757,321 | 16,700 | 45.35 | 0 hrs 32 mins |
| 26 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 710,651 | 65,968 | 10.77 | 2 hrs 14 mins |
| 27 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 666,624 | 65,209 | 10.22 | 2 hrs 21 mins |
| 28 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 585,887 | 16,700 | 35.08 | 0 hrs 41 mins |
| 29 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 330,200 | 31,619 | 10.44 | 2 hrs 18 mins |
| 30 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 282,350 | 20,992 | 13.45 | 1 hrs 47 mins |
| 31 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 204,383 | 16,700 | 12.24 | 1 hrs 58 mins |
| 32 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 166,484 | 24,857 | 6.70 | 3 hrs 35 mins |
| 33 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 148,212 | 39,382 | 3.76 | 6 hrs 23 mins |
| 34 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 98,306 | 18,142 | 5.42 | 4 hrs 26 mins |
| 35 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 83,788 | 32,266 | 2.60 | 9 hrs 15 mins |
| 36 | GeForce MX250 GP108M [GeForce MX250] |
Nvidia | GP108M | 83,685 | 34,477 | 2.43 | 9 hrs 53 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:26:34|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | CORE I7-4770S CPU @ 3.10GHZ | 8 | Intel | ||
| 2 | PHENOM II X4 970 | 4 | AMD |