Results 231 to 240 of about 1,752,184 (298)

Comparative analysis of bone regeneration in critical-sized defects using self-assembling peptide hydrogel-178, bone morphogenetic protein-2, and calcium phosphate scaffolds in a rat femur model.

open access: green
Ippei Yamauchi   +10 more
openalex   +2 more sources

Proteins, Processing, and Properties of Adhesive Fluid Condensates Purified from Mussels

open access: yesAdvanced Functional Materials, EarlyView.
Mussels exhibit an unmatched proficiency for adhering to wet surfaces in salty environments—a remarkable ability that could inspire new biomedical and technical glues. The fluid protein condensates used to form the underwater mussel glue are extracted, reconstituted and characterized with advanced spectroscopy and nanomechanical analysis, revealing ...
Mathieu D. Rivard   +8 more
wiley   +1 more source

Dual Conjugationof Long- and Medium-Chain Fatty Acidsto BimBH3 Peptide Yields Ultra Long-Acting Inhibitors of IntracellularPTPN1/2

open access: green
Chuanliang Zhang (10823220)   +14 more
openalex   +1 more source

Engineering a Sonotherapeutic RBC Membrane‐Derived Nanoparticle Platform for the Treatment of Liver Cancer

open access: yesAdvanced Functional Materials, EarlyView.
Herein, an RBC membrane‐derived nanoparticle (CMN‐ICG) is engineered to efficiently deliver a sonosensitizing agent, indocyanine green (ICG), for sonotherapy of hepatocellular carcinoma (HCC). CMN‐ICG exhibits excellent cytocompatibility, significantly enhances hepatocyte uptake, and produces excessive reactive oxygen species (ROS) upon ultrasound ...
Alap Ali Zahid   +6 more
wiley   +1 more source

Radiosynthesis and Evaluation of a Novel 68Ga-Labeled Peptide for PD-L1-Targeted PET Imaging

open access: green
Fengsheng Zhang (20703410)   +8 more
openalex   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

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