Computational design of antimicrobial peptide nanopores

Antibiotic resistance is a global health threat, driving the need for new molecules that kill bacteria via nontraditional mechanisms. Here, we present a computational de novo design strategy for α-helical peptides that self-assemble into large, stable and membrane-spanning nanopores with antimicrobial activity, including in vivo efficacy against drug-resistant pathogens. Molecular dynamics simulations guided the selection of sequences for transmembrane barrel-stave pore formation, which were validated by microscopy, electrophysiology and fluorescence assays. Using computational and experimental analyses, including negative design controls, we developed general design guidelines and 52 modular sequence templates with tunable antimicrobial, pore-forming properties. Mechanistic studies confirmed bacterial cytoplasmic membrane disruption via designed nanopore formation. A tuned lead peptide selectively killed drug-resistant ESKAPEE bacteria, including Acinetobacter baumannii, without harming human cells, and showed anti-infective efficacy in preclinical mouse infection models. The framework presented here enables the design of synthetic peptide nanopores for precision antimicrobials, anticancer agents, molecular sensors and delivery systems.

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Publication Details

Journal
Nature Chemical Biology
Published
2026-08-03
DOI
https://doi.org/10.1038/s41589-026-02269-z
Primary Topic
Antimicrobial Peptides and Activities
Type
article
Field-Weighted Citation Impact
0.00

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article

Computational design of antimicrobial peptide nanopores

Markéta Koběrská, Kateřina Bendová, César de la Fuente‐Núñez, Gabriela Balíková Novotná et al.
Nature Chemical Biology
Antimicrobial Peptides and Activities
article

Computational design of antimicrobial peptide nanopores

Markéta Koběrská, Kateřina Bendová, César de la Fuente‐Núñez, Gabriela Balíková Novotná, Giovanni Maglia, Ivo Kabelka, Rahul Deb, Robert Vácha, Jan Přibyl, Miloš Petřík, Edo Vreeker, Marcelo D.T. Torres
article en

Abstract

Antibiotic resistance is a global health threat, driving the need for new molecules that kill bacteria via nontraditional mechanisms. Here, we present a computational de novo design strategy for α-helical peptides that self-assemble into large, stable and membrane-spanning nanopores with antimicrobial activity, including in vivo efficacy against drug-resistant pathogens. Molecular dynamics simulations guided the selection of sequences for transmembrane barrel-stave pore formation, which were validated by microscopy, electrophysiology and fluorescence assays. Using computational and experimental analyses, including negative design controls, we developed general design guidelines and 52 modular sequence templates with tunable antimicrobial, pore-forming properties. Mechanistic studies confirmed bacterial cytoplasmic membrane disruption via designed nanopore formation. A tuned lead peptide selectively killed drug-resistant ESKAPEE bacteria, including Acinetobacter baumannii, without harming human cells, and showed anti-infective efficacy in preclinical mouse infection models. The framework presented here enables the design of synthetic peptide nanopores for precision antimicrobials, anticancer agents, molecular sensors and delivery systems.

Nature Chemical Biology
Central European Institute of Technology (CZ), University of Groningen (NL), Czech Academy of Sciences (CZ), Masaryk University (CZ), Central European Institute of Technology – Masaryk University (CZ), Czech Academy of Sciences, Institute of Microbiology (CZ), Translational Therapeutics (United States) (US), Institute of Molecular and Translational Medicine (CZ), Palacký University Olomouc (CZ), University of Pennsylvania (US), Philadelphia University (US)
University of Pennsylvania, European Commission, Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky
Good health and well-being
Openalex Percentile: Top 11%
Antimicrobial Peptides and Activities
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