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Antibiotic Selection

Antibiotic Selection

Antimicrobial Proteins

Antimicrobial Proteins

Antimicrobial proteins are important components of the immune system. They aid the body in combating pathogens by either killing them directly or hindering their replication processes. Four main types of antimicrobial substances are interferons, the complement system, iron-binding proteins, and antimicrobial proteins.
Interferons
Interferons (IFNs) are proteins produced by lymphocytes, macrophages, and fibroblasts infected with viruses. While IFNs cannot prevent viruses from entering and...

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Related Experiment Video

Updated: Jul 1, 2025

Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids

Antimicrobial Peptides Produced by Selective Pressure Incorporation of Non-canonical Amino Acids

Published on: May 4, 2018

Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides.

Heqian Zhang¹, Yihan Wang¹, Yanran Zhu¹

¹Center for Biological Science and Technology, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, Guangdong 519087, China.

Journal of Advanced Research

|March 2, 2024

Summary

This summary is machine-generated.

Researchers identified a lipopolysaccharide-binding domain (LBD) from antimicrobial peptides (AMPs). This LBD shows broad-spectrum antimicrobial activity and protects shrimp from bacterial infections, paving the way for new peptide antibiotics.

Keywords:

Antimicrobial peptide Directed evolution Genetic algorithm Machine learning

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A New Screening Method for the Directed Evolution of Thermostable Bacteriolytic Enzymes

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Published on: November 7, 2012

Area of Science:

Biochemistry
Molecular Biology
Drug Discovery

Background:

Antimicrobial peptides (AMPs) offer alternatives to antibiotics for treating infections.
Understanding AMP structure-activity relationships is key for developing new peptide therapeutics.

Purpose of the Study:

Identify a functional lipopolysaccharide-binding domain (LBD) using machine learning-guided directed evolution.
Characterize the structure and antimicrobial activity of the identified LBD.

Main Methods:

Machine learning-guided directed evolution to identify LBDs.
Nuclear magnetic resonance (NMR) to determine the 3D structure of LBD_B.
Scanning electron microscopy (SEM) and transmission electron microscopy (TEM) for morphological studies.
In vitro and in vivo antibacterial assays.

Main Results:

LBD_B exhibits a broad antimicrobial spectrum and a unique circular extended structure with a disulfide crosslink.
Microscopy revealed LBD_B disrupts bacterial cell membranes, leading to cell death.
In vivo studies demonstrated LBD_B enhances survival against bacterial infections in Marsupenaeus japonicus.

Conclusions:

The identified LBD_B shows significant therapeutic potential for infectious diseases.
This study provides a foundation for rational drug design of enhanced peptide antibiotics.