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Related Experiment Video

Updated: May 2, 2026

An Efficient Method for the Synthesis of Peptoids with Mixed Lysine-type/Arginine-type Monomers and Evaluation of Their Anti-leishmanial Activity

An Efficient Method for the Synthesis of Peptoids with Mixed Lysine-type/Arginine-type Monomers and Evaluation of Their Anti-leishmanial Activity

Published on: November 2, 2016

Improved lanthipeptide detection and prediction for antiSMASH.

Kai Blin¹, Daniyal Kazempour², Wolfgang Wohlleben¹

¹Microbiology/Biotechnology, Interfaculty Institute of Microbiology and Infection Medicine, Eberhard-Karls-University of Tübingen, Tübingen, Germany ; German Centre for Infection Research, Tübingen, Germany.

|March 4, 2014

Summary

This summary is machine-generated.

Researchers developed a new antiSMASH module to identify lanthipeptide gene clusters and predict their post-translational modifications. This tool aids in understanding bacterial natural products and discovering novel lantibiotics.

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Last Updated: May 2, 2026

An Efficient Method for the Synthesis of Peptoids with Mixed Lysine-type/Arginine-type Monomers and Evaluation of Their Anti-leishmanial Activity

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Area of Science:

Microbiology
Biochemistry
Bioinformatics

Background:

Lanthipeptides are bacterial RiPPs characterized by lanthionine residues.
Lantibiotics, a subclass of lanthipeptides, exhibit antibacterial properties.
Existing tools can identify lanthipeptide gene clusters but not predict post-translational modifications.

Purpose of the Study:

To develop a novel antiSMASH module for predicting lanthipeptide post-translational modifications.
To identify lanthipeptide classes and predict cleavage and tailoring reactions.
To determine the molecular weight of mature lanthipeptide products.

Main Methods:

A rule-based approach combining signature motifs for biosynthetic enzymes and lanthipeptide-specific cleavage sites.
Integration into the antiSMASH software pipeline for genomic data analysis.

Main Results:

Successful identification of lanthipeptide clusters from genomic data.
Accurate prediction of prepeptide cleavage and tailoring reactions.
Estimation of processed molecular weight for mature lanthipeptide products.

Conclusions:

The novel antiSMASH module enhances the analysis of lanthipeptide biosynthetic gene clusters.
This tool facilitates the prediction of complex post-translational modifications in lanthipeptides.
It aids in the discovery and characterization of novel antibacterial lantibiotics.