Results 241 to 250 of about 131,877 (321)

Genome sequence of cluster A6 bacteriophage Lilbunny, isolated using <i>Mycobacterium smegmatis</i> mc<sup>2</sup>155. [PDF]

open access: yesMicrobiol Resour Announc
Radke K   +24 more
europepmc   +1 more source

Bacteriophage Phenomena in Fermentative Microorganisms

open access: bronze, 1955
Takichi Kaneko   +2 more
openalex   +2 more sources

Phage Display Against 2D Metal–Organic Nanosheets as a New Route to Highly Selective Biomolecular Recognition Surfaces

open access: yesSmall, EarlyView.
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]

open access: yesMicrobiol Resour Announc
Hutchings J   +8 more
europepmc   +1 more source

Nature Inspired Delivery Vehicles for CRISPR‐Based Genome Editing

open access: yesSmall, EarlyView.
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

Understanding of endo/lysosomal escape of nanomaterials in biomedical application

open access: yesSmart Molecules, EarlyView.
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

Machine Learning‐Assisted Prediction and Generation of Antimicrobial Peptides

open access: yesSmall Science, EarlyView.
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

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