Evidence map›Paper›PMID 36594886›Full record

ArticleJournal of chemical information and modeling2023

LassoHTP: A High-Throughput Computational Tool for Lasso Peptide Structure Construction and Modeling.

Reecan J Juarez, Yaoyukun Jiang, Matthew Tremblay, Qianzhen Shao, A James Link, Zhongyue J Yang

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Tangled Tail of Mechanically Interlocked Peptides.Journal of the American Chemical Society · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Lasso peptides: A focus on therapeutic index.World journal of microbiology & biotechnology · 2025
    Review
  9. How nature ties peptide knots.Nature chemical biology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Mutexa: A Computational Ecosystem for Intelligent Protein Engineering.Journal of chemical theory and computation · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Reecan J JuarezChemical and Physical Biology Program, Vanderbilt University, Nashville, Tennessee 37235, United States.
Yaoyukun JiangDepartment of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.ORCID 0000-0002-6424-2231
Matthew TremblayDepartment of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.
Qianzhen ShaoDepartment of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.
A James LinkDepartment of Chemical and Biological Engineering, Chemistry and Molecular Biology, Princeton University, 207 Hoyt Laboratory, Princeton, New Jersey 08544, United States.ORCID 0000-0001-5066-9691
Zhongyue J YangDepartment of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.ORCID 0000-0003-0395-6617

Funding

MOLECULAR BIOPHYSICS TRAINING PROGRAM AT VANDERBILTT32GM008320 · NIGMS · VANDERBILT UNIVERSITY · PI CHAZIN, WALTER J. · 1989 to 2023
$7.9M
Lasso Peptide DiscoveryR01GM107036 · NIGMS · PRINCETON UNIVERSITY · PI LINK, AARON JAMES · 2014 to 2022
$2.9M
NIGMS NIH HHS R01 GM107036NIGMS NIH HHS T32 GM008320
6 · The paper itself

Abstract

Lasso peptides are a subclass of ribosomally synthesized and post-translationally modified peptides with a slipknot conformation. With superior thermal stability, protease resistance, and antimicrobial activity, lasso peptides are promising candidates for bioengineering and pharmaceutical applications. To enable high-throughput computational prediction and design of lasso peptides, we developed a software, LassoHTP, for automatic lasso peptide structure construction and modeling. LassoHTP consists of three modules, including the scaffold constructor, mutant generator, and molecular dynamics (MD) simulator. With a user-provided sequence and conformational annotation, LassoHTP can either generate the structure and conformational ensemble as is or conduct random mutagenesis. We used LassoHTP to construct eight known lasso peptide structures

Indexed as

Molecular Dynamics SimulationPeptidesMagnetic Resonance SpectroscopyMolecular ConformationSoftwarePeptides

Identifiers

PMID36594886
PMCPMC10117200

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.