Analogs and Conjugates of Natural Proline-Arginine-Rich Antimicrobial Peptides: Application Potential

Antimicrobial peptides (AMPs) and, in particular, proline-arginine-rich cationic AMPs (PrAMPs) have recently attracted attention as potential candidates for developing new-generation antibacterial drugs. This interest stems from the fact that PrAMPs can target antibiotic-resistant bacteria and utilize a unique mechanism, which involves an interaction with bacterial ribosomes and inhibition of protein synthesis. Additionally, PrAMPs have a broad spectrum of activity against Gram-negative bacteria, show low rates of bacterial resistance, and are relatively easy to modify structurally. Several factors limit PrAMPs application, including their susceptibility to proteolytic degradation in biological media and their insufficiently broad spectrum of antibacterial activity against Gram-positive bacteria. Bacteria may develop PrAMP resistance, and toxic effects may result from the interactions of PrAMPs with certain components of eukaryotic cells. To overcome these challenges, it is possible to modify the PrAMP structure or create conjugates of PrAMPs with other molecules. The review summarizes the recent literature on PrAMP analogs and conjugates and considers the methods of modifying PrAMPs. New properties of compounds derived from PrAMPs highlight their potential for creating effective antibacterial agents.

Authors

Institutions

Publication Details

Journal
Molecular Biology
Published
2025-09-22
DOI
https://doi.org/10.1134/s0026893325700268
Primary Topic
Antimicrobial Peptides and Activities
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analogs and Conjugates of Natural Proline-Arginine-Rich Antimicrobial Peptides: Application Potential

Natalia V. Sumbatyan, Zimfira Z. Khairullina, Andrey G. Tereshchenkov, F. R. Bazhutov
Molecular Biology
Antimicrobial Peptides and Activities
article

Analogs and Conjugates of Natural Proline-Arginine-Rich Antimicrobial Peptides: Application Potential

Natalia V. Sumbatyan, Zimfira Z. Khairullina, Andrey G. Tereshchenkov, F. R. Bazhutov
article en

Abstract

Antimicrobial peptides (AMPs) and, in particular, proline-arginine-rich cationic AMPs (PrAMPs) have recently attracted attention as potential candidates for developing new-generation antibacterial drugs. This interest stems from the fact that PrAMPs can target antibiotic-resistant bacteria and utilize a unique mechanism, which involves an interaction with bacterial ribosomes and inhibition of protein synthesis. Additionally, PrAMPs have a broad spectrum of activity against Gram-negative bacteria, show low rates of bacterial resistance, and are relatively easy to modify structurally. Several factors limit PrAMPs application, including their susceptibility to proteolytic degradation in biological media and their insufficiently broad spectrum of antibacterial activity against Gram-positive bacteria. Bacteria may develop PrAMP resistance, and toxic effects may result from the interactions of PrAMPs with certain components of eukaryotic cells. To overcome these challenges, it is possible to modify the PrAMP structure or create conjugates of PrAMPs with other molecules. The review summarizes the recent literature on PrAMP analogs and conjugates and considers the methods of modifying PrAMPs. New properties of compounds derived from PrAMPs highlight their potential for creating effective antibacterial agents.

Molecular BiologyVol. 59(5)
Lomonosov Moscow State University (RU)
Openalex Percentile: Top 76%
Antimicrobial Peptides and Activities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.