Results 101 to 110 of about 678 (164)
Fluorinated Carnitine Derivatives as Tools to Visualise Carnitine Transport and Metabolism
Fluorinated carnitines, fluoromethyl carnitine (FMC) and [18F]fluoromethyl carnitine ([18F]FMC), are synthesised and established as powerful probes to interrogate carnitine biology. The multimodal detection facilitated by fluorine labelling, including 19F NMR, mass spectrometry, and positron emission tomography imaging, allowed for visualisation of ...
Richard S. Edwards +8 more
wiley +1 more source
Label‐Free Molecular Characterization of Protein Aggregates in Differentiated Astrocytes
Mid‐infrared photothermal microscopy enables label‐free structural, molecular, and functional imaging of protein aggregates in astrocyte cells. The processes of astrocytes differentiated on a nanomaterial interface are characterized by α‐helical signatures combined with enhanced interfacial thermal resistance properties, while the cell soma of non ...
Panagis D. Samolis +9 more
wiley +1 more source
AI‐Driven Acceleration of Fluorescence Probe Discovery
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang +18 more
wiley +1 more source
Mathematical Prediction for Geometry‐Mediated Cell 3D In‐Growth on Bone Tissue Engineering Scaffolds
This study identifies a fundamental pore size dependent pattern of three dimensional bone marrow derived mesenchymal stem cell (BMSC) infiltration within porous scaffolds, where small pores promote horizontal cellular bridging and large pores facilitate vertical migration.
Xiang Gao +15 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

