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Updated: May 10, 2026

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

LAMP: A Database Linking Antimicrobial Peptides.

Xiaowei Zhao¹, Hongyu Wu, Hairong Lu

¹State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China ; Shanghai High-Tech Bioengineering Co., Ltd, Shanghai, China.

|July 5, 2013

Summary

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A new database, LAMP, catalogs antimicrobial peptides (AMPs) to accelerate the discovery of novel antibiotics. This resource aids researchers in identifying effective and safe AMPs for combating drug-resistant bacteria.

Area of Science:

Biochemistry
Molecular Biology
Drug Discovery

Background:

The rise of drug-resistant bacteria necessitates novel antimicrobial agents.
Traditional antibiotic development methods are insufficient.
Antimicrobial peptides (AMPs) show promise but face challenges in clinical translation.

Purpose of the Study:

To introduce LAMP, a comprehensive database for antimicrobial peptides (AMPs).
To facilitate the discovery and design of novel AMPs with enhanced activity and reduced toxicity.
To accelerate the clinical development of new antimicrobial agents.

Main Methods:

Development of the LAMP database, integrating data on 5,547 natural and synthetic AMPs.
Implementation of keyword and combinatorial search functionalities.

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Last Updated: May 10, 2026

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

Inclusion of detailed antimicrobial activity and cytotoxicity data.

Development of cross-linking and top similar AMPs analysis tools.

Main Results:

LAMP currently contains 5,547 entries (3,904 natural, 1,643 synthetic AMPs).
The database supports versatile querying for AMP information.
Integrated tools facilitate comparative analysis and understanding of AMP properties.

Conclusions:

LAMP serves as a valuable tool for researchers in antimicrobial peptide discovery.
The database can expedite the identification of promising AMP candidates for therapeutic applications.
LAMP contributes to advancing the development of new antimicrobial agents against resistant pathogens.