Genome sequence of cluster A6 bacteriophage Lilbunny, isolated using <i>Mycobacterium smegmatis</i> mc<sup>2</sup>155. [PDF]
Radke K+24 more
europepmc +1 more source
Bacteriophage Phenomena in Fermentative Microorganisms
Takichi Kaneko+2 more
openalex +2 more sources
A new approach for creating highly selective recognition surfaces is reported using phage display biopanning against metal–organic nanosheets (MONs). The highest affinity peptides for three different MONs are isolated through successive biopanning rounds and their structure‐property relationships are investigated. MONs used as recognition surfaces show
Amelia C. Wood+7 more
wiley +1 more source
Complete genome sequence of bacteriophage Godfather isolated from Microbacterium foliorum. [PDF]
Hutchings J+8 more
europepmc +1 more source
Nature Inspired Delivery Vehicles for CRISPR‐Based Genome Editing
The review highlights nature‐inspired nanocarriers for CRISPR delivery, emphasizing viral vectors, extracellular vesicles, liposomes, and lipid nanoparticles. It discusses their roles in improving specificity, minimizing immunogenicity, and overcoming barriers in genome editing. Recent advancements, challenges, and therapeutic applications are explored,
Elizabeth Maria Clarissa+4 more
wiley +1 more source
Flow Virometry in Wastewater Monitoring: Comparison of Virus-like Particles to Coliphage, Pepper Mild Mottle Virus, CrAssphage, and Tomato Brown Rugose Fruit Virus. [PDF]
Johnson MM+3 more
europepmc +1 more source
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
Peptides rapidly transport antibiotic across the intact tympanic membrane to treat a middle ear infection. [PDF]
Kurabi A, Sereno E, Ryan AF.
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
In Vitro Efficacy of Foam Hand Sanitizers Against Enveloped and Non-Enveloped Viruses. [PDF]
Torko F, Gibson KE.
europepmc +1 more source