Structural Optimization of Cn‐ <scp>AMP1</scp> Enhances Antibacterial and Anticancer Potency With Low Hemolysis

Antimicrobial peptides (AMPs) represent promising scaffolds for therapeutic development, but many natural sequences show limited potency or poor selectivity. Among them, Cn-AMP1, a coconut-derived peptide, exhibits excellent biocompatibility but weak antibacterial and anticancer activities owing to low hydrophobicity and minimal cationic charge. Here, we rationally designed a series of Cn-AMP1 derivatives with systematic modulation of charge and hydrophobicity to probe structure-activity relationships. Among them, CAP10, displayed 2-4-fold stronger antibacterial potency than earlier analogs while maintaining hemolysis below 10%. CAP10 also achieved measurable cytotoxicity toward cancer cells, representing a clear improvement over the other Cn-AMP1 derivatives. Molecular dynamics simulations revealed that CAP10 penetrates deeply into bacterial and cancer membranes, inducing local bilayer thinning and density depletion, whereas Cn-AMP1 remained surface-bound with limited disruption. These results establish that simultaneous optimization of hydrophobicity and charge enhances membrane-active selectivity and dual functionality. Our findings provide structural principles for the rational design of next-generation AMPs with improved efficacy and safety profiles.

Authors

Institutions

Publication Details

Journal
Biopolymers
Published
2025-12-03
DOI
https://doi.org/10.1002/bip.70068
Primary Topic
Antimicrobial Peptides and Activities
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Optimization of Cn‐ AMP1 Enhances Antibacterial and Anticancer Potency With Low Hemolysis

Phuong‐Thao Tran, Hai Bui Thi Phuong, Huy Luong Xuan, Huyen Nguyen Thi et al.
Biopolymers
Antimicrobial Peptides and Activities
article

Structural Optimization of Cn‐ AMP1 Enhances Antibacterial and Anticancer Potency With Low Hemolysis

Phuong‐Thao Tran, Hai Bui Thi Phuong, Huy Luong Xuan, Huyen Nguyen Thi, Van‐Duong Dao, Thang Nguyen Quoc, Le Minh Bui, L. Huang, Thanh Ngoc Nguyen
article en

Abstract

Antimicrobial peptides (AMPs) represent promising scaffolds for therapeutic development, but many natural sequences show limited potency or poor selectivity. Among them, Cn-AMP1, a coconut-derived peptide, exhibits excellent biocompatibility but weak antibacterial and anticancer activities owing to low hydrophobicity and minimal cationic charge. Here, we rationally designed a series of Cn-AMP1 derivatives with systematic modulation of charge and hydrophobicity to probe structure-activity relationships. Among them, CAP10, displayed 2-4-fold stronger antibacterial potency than earlier analogs while maintaining hemolysis below 10%. CAP10 also achieved measurable cytotoxicity toward cancer cells, representing a clear improvement over the other Cn-AMP1 derivatives. Molecular dynamics simulations revealed that CAP10 penetrates deeply into bacterial and cancer membranes, inducing local bilayer thinning and density depletion, whereas Cn-AMP1 remained surface-bound with limited disruption. These results establish that simultaneous optimization of hydrophobicity and charge enhances membrane-active selectivity and dual functionality. Our findings provide structural principles for the rational design of next-generation AMPs with improved efficacy and safety profiles.

BiopolymersVol. 117(1)
Trường ĐH Nguyễn Tất Thành (VN), Phenikaa University (VN), Hanoi University of Pharmacy (VN), Yeungnam University (KR)
National Foundation for Science and Technology Development
Openalex Percentile: Top 64%
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.