A5073704794- Electrospun Nanofibers in Biomedical Applications
- Nanoplatforms for cancer theranostics
- Glass properties and applications
- Solid State Laser Technologies
- Computational Drug Discovery Methods
- Bone Tissue Engineering Materials
- Machine Learning in Materials Science
- Luminescence Properties of Advanced Materials
- Cancer, Hypoxia, and Metabolism
- biodegradable polymer synthesis and properties
- Ferroptosis and cancer prognosis
- Photodynamic Therapy Research Studies
- Click Chemistry and Applications
- Hemostasis and retained surgical items
- Photonic Crystal and Fiber Optics
- Microfluidic and Bio-sensing Technologies
- Autophagy in Disease and Therapy
- Advanced Photocatalysis Techniques
- Surgical Sutures and Adhesives
- Extracellular vesicles in disease
- Microfluidic and Capillary Electrophoresis Applications
- Semiconductor Lasers and Optical Devices
- Drug Solubulity and Delivery Systems
- Quantum Chromodynamics and Particle Interactions
- Nanotechnology research and applications
Shenyang Pharmaceutical University
2017-2024
University of Jinan
2024
Shandong University
2021-2024
Kyushu University
2000-2014
Harbin Engineering University
2012
University of Science and Technology Beijing
2008
Ritsumeikan University
2004-2007
Kyoto University
2003-2004
Blood coagulation is the body's main defense to bleeding caused by trauma and divided into endogenous exogenous pathways. Calcium ions play a very important role in process of blood coagulation, as activate many enzymes that are required for coagulation. In this paper, gelatin hemostatic membranes containing calcium were prepared electrospinning. The fibers characterized with scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction. biocompatibility processes...
The high therapeutic resistance of tumor is the primary cause behind recurrence and incurability. In recent years, scientists have devoted themselves to find a variety treatments solve this problem. Herein, we propose multi-hit strategy that based on biodegradable hollow mesoporous Prussian blue (HMPB)-based nanosystem for tumor-specific therapy encapsulated critical heat shock protein 90 (HSP90) inhibitor 17-dimethylamino-ethylamino-17-demethoxydeldanamycin (17-DMAG). was further modified...
The effectiveness of AI-driven drug discovery can be enhanced by pretraining on small molecules. However, the conventional masked language model techniques are not suitable for molecule due to limited vocabulary size and non-sequential structure To overcome these challenges, we propose FragAdd, a strategy that involves adding chemically implausible molecular fragment input molecule. This approach allows incorporation rich local information generation high-quality graph representation, which...
Daunorubicin hydrochloride is a cell-cycle non-specific antitumor drug with high therapeutic effect. The present study outlines the fabrication of daunorubicin hydrochloride-loaded poly (ε-caprolactone) (PCL) fibrous membranes by melt electrospinning for potential application in localized tumor therapy. diameters drug-loaded fibers prepared varying concentrations (1, 5, and 10 wt%) were 2.48 ± 1.25, 2.51 0.78, 2.49 1.58 μm, respectively. Fluorescence images indicated that hydrophobic was...
As a globally prevalent disease, obesity leads to many chronic diseases, so it is important develop safe and effective treatments with fewer side effects lasting weight loss. In this study, we developed biodegradable hyaluronic acid microneedle patch loaded polydopamine nanoparticles mirabegron, which directly acted on subcutaneous white adipose tissue, then induced browning of tissue through mild photothermal therapy. The approach showed excellent browning-promoting ability...
Discovery of new drugs heavily relies on predicting the binding affinities drug molecules to suitable targets. To accelerate this process identifying accurate affinities, computer-aided methods need be applied in discovery pipeline. While various computational have been developed past ten years, most successful date use 3D convolutional neural networks (3D-CNNs). These 3D-CNN are based deep learning models, and both faster more than machine methods. However, currently used CNN is difficult...
The integration of noninvasive photodynamic therapy (PDT) and imaging in the gastrointestinal tract is extremely challenging because limited light penetration traditional PDT, physiological barriers such as inorganic salts mucous layers. Herein, d-α-tocopherol polyethylene glycol 1000 succinate-succinic acid-mercapto-ethylamine (TPGS-SH) was used to functionalize upconverting nanoparticles (UCNPs) endow modified UCNPs@TPGS-SH with excellent hydrophilic properties, biocompatibility, stability...
Mechanism of the Simva-HMPB-Mn@GOx nanosystem in both classical and non-classical ferroptosis pathways tumors under NIR laser irradiation.
Fiber laser operating property at 1.55-μm band in a newly developed Ce,Er:ZBLAN fiber by continuous-wave diode pumping 980 nm is presented. The output characteristics of the system are analyzed detail based on rate equations model taking into account energy transfer between Ce/sup 3+/ and Er/sup ions, as well upconversion mechanisms. promotion role Ce erbium-doped ZBLAN for operation has been realized.
Molecule property prediction based on computational strategies plays a key role in the process of drug discovery and design processes, such as DFT. However, these traditional methods are time-consuming, labor-intensive, cannot satisfy need for biomedicine. Owning to development deep learning, there many variants Graph Neural Networks (GNN) molecular representation learning. existing well-performing graph-based that have number parameters or light models achieve good grades various tasks. To...