RESEARCH: CANCER
FOLDING PROJECT #18929 PROFILE

PROJECT TEAM

Manager(s): Song Yin
Institution: University of Illinois Urbana-Champaign
Project URL: View Project Website

WORK UNIT INFO

Atoms: 79,636
Core: 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

Note: Glossary items are a high level summary and may not be 100% accurate.

Lasso peptides

Ribosomally synthesized and post-translationally modified peptides with a unique lariat-like structure.

Scientific: Pharmaceutical research
Biotechnology / Natural products, Peptide chemistry

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

Acronym: Pharmaceutical research
Biotechnology / Peptide chemistry

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.

Scientific: Pharmaceutical research
Biotechnology / Peptide chemistry

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.

Scientific: Pharmaceutical research
Biotechnology / Peptide chemistry

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.

Scientific: Pharmaceutical research
Biotechnology / Computational biology

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
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