This review explores the potential of antimicrobial peptides (AMPs) and nanotechnology for the treatment of gastrointestinal infections. It analyzes bacterial resistance mechanisms, the antimicrobial actions of AMPs, and advances in nanocarriers, such as lipid‐based, polymeric, metallic, and mesoporous silica systems, that enhance peptide protection ...
Christian Shleider Carnero Canales+10 more
wiley +1 more source
The Role of Active Packaging in the Defense Against Foodborne Pathogens with Particular Attention to Bacteriophages. [PDF]
Wagh RV+7 more
europepmc +1 more source
Near‐Infrared Fluorescent Single‐Walled Carbon Nanotubes for Biosensing
Near‐infrared fluorescent single‐walled carbon nanotubes (SWCNTs) stand out as versatile biosensors due to their spectral overlap with the biological transparency window, surface‐sensitive fluorescence emission, and chemical modularity. This review offers a concise guide to understanding the photophysics of SWCNTs, various functionalization strategies,
Srestha Basu, Gili Bisker
wiley +1 more source
Morphological, lytic, and genetic characteristics of three <i>Brucella</i> phages isolated from Inner Mongolia Autonomous Region. [PDF]
Zhang Y+8 more
europepmc +1 more source
STUDIES ON DIRECTED VARIATION OF SALMONELLA 0-15 AND 0-34 BY BACTERIOPHAGE [II]
KENJI HARADA
openalex +2 more sources
Understanding of endo/lysosomal escape of nanomaterials in biomedical application
This review summarized mainstream mechanisms of endo/lysosomal escape and design strategies of endo/lysosomal escapable nanoparticles in view of surface charge, polarity & hydrophobicity, particle morphology, and lysosomal escape agents. The utilization of endo/lysosomal escapable nanoparticles for vaccine delivery and genetic engineering are ...
Xin Wang+3 more
wiley +1 more source
Characterization and genome analysis of the novel virulent Burkholderia phage Bm1, which is active against pan-drug-resistant Burkholderia multivorans. [PDF]
Rubalskii E+10 more
europepmc +1 more source
Machine Learning‐Assisted Prediction and Generation of Antimicrobial Peptides
A machine learning‐based in silico predictive and generative model is developed to engineer highly effective antimicrobial peptides (AMPs) for combating multidrug‐resistant pathogens. An iterative algorithm involving peptide generation, scoring, and motif identification produces AMPs with high theoretical scores.
Sukhvir Kaur Bhangu+6 more
wiley +1 more source
Selected Mechanisms of Action of Bacteriophages in Bacterial Infections in Animals. [PDF]
Urban-Chmiel R, Pyzik E.
europepmc +1 more source