A5030718164- Analytical chemistry methods development
- Machine Learning in Bioinformatics
- Nanoparticle-Based Drug Delivery
- Graphene and Nanomaterials Applications
- Molecular Sensors and Ion Detection
- Luminescence and Fluorescent Materials
- Analytical Chemistry and Chromatography
- Nanoplatforms for cancer theranostics
- Biosensors and Analytical Detection
- vaccines and immunoinformatics approaches
- Advanced Drug Delivery Systems
- Pluripotent Stem Cells Research
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Advanced Proteomics Techniques and Applications
- Advanced Computational Techniques and Applications
- Pancreatic function and diabetes
- Handwritten Text Recognition Techniques
- CRISPR and Genetic Engineering
- Extracellular vesicles in disease
- Advanced Algorithms and Applications
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Carbon and Quantum Dots Applications
- Heme Oxygenase-1 and Carbon Monoxide
Hebei University of Science and Technology
2024-2025
Beijing Institute of Petrochemical Technology
2023-2025
Hebei Chemical and Pharmaceutical College
2025
Xi'an Jiaotong University
2019-2024
Second Affiliated Hospital of Xi'an Jiaotong University
2022-2023
Prostate cancer is the most common malignancy diagnosed in men. Androgens are directly related to its pathogenesis. Inhibition of androgen receptor (AR) considered be promising therapeutic approach for treatment prostate cancer. In this study, a new type pH-responsive dual androgen-blocking nanodrug (FASC MIPs) based on molecularly imprinted polymer has been designed and synthesized. The could selectively sequester testosterone from tumor through specific molecular imprinting sites...
Abstract High hydrophobicity of π ‐extended conjugated polymers (CPs) adversely affects their photoluminescence quantum yield (PLQY) in water and hydrogel/solid state via an unsolicited aggregation‐caused quenching (ACQ) process which ultimately hampers sensing imaging performance. Herein, efficient strategy is presented to suppress transform such ACQ into encapsulation‐induced emission enhancement (EIEE) effect through facile preparation CP/Pluronic F‐127 fluorescent hybrid micelles...
Abstract Hashimoto thyroiditis (HT) is one of the most common autoimmune diseases, and incidence HT continues to increase. Long-term, uncontrollable results in thyroid dysfunction even increases carcinogenesis risks. Since origin development involve many complex immune processes, there no effective therapy for on a pathogenesis level. Although bioinformatics analysis has been utilized seek key genes pathways cancer, only few studies that focus mechanisms have reported. In present study, Gene...
Multiwall carbon nanotubes (MWCNTs) were non-covalently functionalized by a uniform layer of porphyrin–Sn network (denoted as MPT) via facile one-pot solvothermal synthesis for enhancing protein adsorption. The was assembled meso-tetra(4-carboxyphenyl) porphine (TCPP) molecules cross-linked SnCl2. thickness the shell can be precisely controlled adjusting precursor ratio MWCNTs to TCPP. structure and properties obtained MPT fully characterized. Under optimized adsorption conditions, shows an...
Differential expression of TRPV1 has been detected in many cancer types, including clear cell renal carcinoma (ccRCC).However, the clinical significance profile ccRCC not comprehensively elucidated.In this study, and other types was analyzed based on data from GEO Oncomine databases.Immunohistochemical (IHC) staining performed for further validation human tissue chips.Survival correlation analyses were conducted using Kaplan-Meier Plotter (KM-Plotter) Tumor IMmune Estimation Resource (TIMER)...
As the changes of biomarkers directly reflect occurrence degenerative diseases, accurate detection is great significance for disease diagnosis and control. However, single index has high uncertainties to accurately pathological characteristics because complexity human internal environment extremely trace concentration indicators. To this end, a method simultaneous dual-biomarkers based on anti-interference magnetic molecularly imprinted polymers (D-mag-MIPs) thereby proposed, successfully...
Proteins are the foundation of life, and designing functional proteins remains a key challenge in biotechnology. Before development AlphaFold2, focus design was primarily on structure-centric approaches such as using well-known open-source software Rosetta3. Following deep-learning techniques for protein gained prominence. This study proposes new method to generate diffusion model ESM2 language model. Diffusion models, which widely used image natural generation, here design, facilitating...
Abstract The virtual screening of synthetic proteins is to develop an effective method predict and screen out that are similar the target sequences in terms their structural physicochemical properties by combining advanced computational tools models, such as AlphaFold2 ESM2. Through screening, experimental cost time period can be reduced, some guidelines for customized design new provided. All research efforts have promoted advancement fields biology biomedical science. In this paper, we...