From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Rossetti P, Trollmann M, Wichmann C, Gutsmann T, Eggeling C, Böckmann R (2025)


Publication Type: Journal article, Review article

Publication year: 2025

Journal

DOI: 10.1002/smll.202411476

Abstract

The United Nations have committed to end the epidemics of communicable diseases by 2030 (SDG Target 3.3). In contrast with this ambition, the rise of Multi Drug Resistant (MDR) and Pan Drug Resistant (PDR) bacteria poses a threat of a return to the pre-antibiotic era. It is of high priority to find new therapies that target the ESKAPEE group of pathogens and their drug-resistant strains. Antimicrobial peptides (AMPs) are an emerging class of antibiotics that hold promises of overcoming bacterial resistance by using both novel mechanisms of action as well as targeting already known pathways. The chemical space of AMPs is potentially huge and methodologies allowing the rational exploration of novel structures are highly needed. This review focuses on case studies that give novel insights about the mechanisms of action, resistance and selectivity of some relevant AMPs, exemplifying the importance of microscopic, computational and experimental tools. Particular focus will be devoted to bacterial membranes and how AMPs can target them while sparing human plasma membranes, in order to become safer drugs. The lessons learned from the literature cases give directions toward the development of AMPs as drug products.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Rossetti, P., Trollmann, M., Wichmann, C., Gutsmann, T., Eggeling, C., & Böckmann, R. (2025). From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity. Small. https://doi.org/10.1002/smll.202411476

MLA:

Rossetti, Paolo, et al. "From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity." Small (2025).

BibTeX: Download