RESEARCH: CANCER
FOLDING PROJECT #18924 PROFILE
PROJECT TEAM
Manager(s): Song YinInstitution: University of Illinois Urbana-Champaign
Project URL: View Project Website
WORK UNIT INFO
Atoms: 88,444Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies lasso peptides, tiny proteins with a unique shape that could be used to make new drugs. Scientists aren't sure exactly how these peptides form their shape, so this research will use computer simulations to understand the process and discover how lasso peptides are made.
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.
Lasso peptides are a unique type of natural product produced by ribosomes. They have a distinctive loop structure and show promise as potential drugs due to their anticancer, antibacterial, and antiviral properties.
Ribosomally synthesized
Produced by ribosomes.
Ribosomes are cellular structures responsible for protein synthesis. When a molecule is 'ribosomally synthesized', it means it was created using the machinery of ribosomes.
Post-translationally modified
Modified after protein synthesis.
Proteins often undergo modifications after they are created by ribosomes. These changes can alter a protein's function, location, or interactions with other molecules.
RiPP
Ribosomally produced peptides
RiPP stands for Ribosomally Produced Peptides. These are a special class of naturally occurring molecules that are made by ribosomes and have diverse biological activities.
Macrolactam ring
A large cyclic amide structure.
A macrolactam ring is a large, ring-shaped molecule containing an amide bond. In lasso peptides, this ring forms a crucial part of their unique structure.
Lasso peptide cyclase
An enzyme that catalyzes the formation of lasso peptide macrolactam ring.
Lasso peptide cyclase is a specialized enzyme that plays a key role in creating the unique loop structure of lasso peptides. It facilitates the formation of the macrolactam ring by joining specific parts of the peptide chain.
Molecular Dynamic simulations
Computer simulations of molecular movement and interactions.
Molecular Dynamic simulations are powerful tools used in computational biology to study the behavior of molecules over time. They involve simulating the movements and interactions of atoms and molecules to understand their structure and function.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:26:40|
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 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 10,017,283 | 170,536 | 58.74 | 0 hrs 25 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,552,992 | 167,161 | 57.15 | 0 hrs 25 mins |
| 3 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 3,572,037 | 110,843 | 32.23 | 0 hrs 45 mins |
| 4 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,239,981 | 117,011 | 27.69 | 0 hrs 52 mins |
| 5 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,900,429 | 113,150 | 25.63 | 0 hrs 56 mins |
| 6 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,778,436 | 110,439 | 25.16 | 0 hrs 57 mins |
| 7 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,681,436 | 110,042 | 24.37 | 0 hrs 59 mins |
| 8 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 2,293,550 | 102,289 | 22.42 | 1 hrs 4 mins |
| 9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,265,259 | 103,762 | 21.83 | 1 hrs 6 mins |
| 10 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,973,254 | 99,000 | 19.93 | 1 hrs 12 mins |
| 11 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 1,821,860 | 96,737 | 18.83 | 1 hrs 16 mins |
| 12 | P102-100 GP102 [P102-100] |
Nvidia | GP102 | 1,684,279 | 91,498 | 18.41 | 1 hrs 18 mins |
| 13 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,647,284 | 93,207 | 17.67 | 1 hrs 21 mins |
| 14 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,555,648 | 92,612 | 16.80 | 1 hrs 26 mins |
| 15 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,514,451 | 90,272 | 16.78 | 1 hrs 26 mins |
| 16 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,237,363 | 83,867 | 14.75 | 1 hrs 38 mins |
| 17 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,194,713 | 81,174 | 14.72 | 1 hrs 38 mins |
| 18 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 1,020,025 | 79,744 | 12.79 | 1 hrs 53 mins |
| 19 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,019,620 | 78,671 | 12.96 | 1 hrs 51 mins |
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| 20 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 995,106 | 78,402 | 12.69 | 1 hrs 53 mins |
| 21 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 980,720 | 77,262 | 12.69 | 1 hrs 53 mins |
| 22 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 770,782 | 72,610 | 10.62 | 2 hrs 16 mins |
| 23 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 659,178 | 66,424 | 9.92 | 2 hrs 25 mins |
| 24 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 609,805 | 66,887 | 9.12 | 2 hrs 38 mins |
| 25 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 532,811 | 64,115 | 8.31 | 2 hrs 53 mins |
| 26 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 357,371 | 57,176 | 6.25 | 3 hrs 50 mins |
| 27 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 303,159 | 53,581 | 5.66 | 4 hrs 15 mins |
| 28 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 262,642 | 50,785 | 5.17 | 4 hrs 38 mins |
| 29 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 214,660 | 46,968 | 4.57 | 5 hrs 15 mins |
| 30 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 77,646 | 34,150 | 2.27 | 10 hrs 33 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:26:40|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|