A5007405926- Monoclonal and Polyclonal Antibodies Research
- Chemical Synthesis and Analysis
- Click Chemistry and Applications
- Supply Chain Resilience and Risk Management
- Glycosylation and Glycoproteins Research
- Machine Fault Diagnosis Techniques
- Advanced biosensing and bioanalysis techniques
- Glioma Diagnosis and Treatment
- vaccines and immunoinformatics approaches
- Industrial Vision Systems and Defect Detection
- Single-cell and spatial transcriptomics
- Invertebrate Immune Response Mechanisms
- Immunotherapy and Immune Responses
- Cancer, Hypoxia, and Metabolism
- Infrastructure Maintenance and Monitoring
- Gear and Bearing Dynamics Analysis
- Advanced machining processes and optimization
- Malaria Research and Control
- Antimicrobial Peptides and Activities
- Genetics, Bioinformatics, and Biomedical Research
- Advanced Neural Network Applications
- Advanced Biosensing Techniques and Applications
California Institute of Technology
2015-2024
Shanghai Normal University
2021-2024
Chongqing University of Posts and Telecommunications
2023
Institute for Systems Biology
2018-2019
North Seattle College
2019
Abstract We describe a general synthetic strategy for developing high‐affinity peptide binders against specific epitopes of challenging protein biomarkers. The epitope interest is synthesized as polypeptide, with detection biotin tag and strategically placed azide (or alkyne) presenting amino acid. This (SynEp) incubated library complementary alkyne or peptides. Library elements that bind the SynEp in correct orientation undergo Huisgen cycloaddition, are covalently linked to SynEp. Hit...
Plasmodium falciparum is the most lethal species of malaria. In infected human red blood cells, P. digests hemoglobin as a nutrient source, liberating cytotoxic free heme in process. Sequestration and subsequent conversion this byproduct into hemozoin, an inert biocrystalline aggregate, plays key role parasite survival. Hemozoin has been longstanding target antimalarials such chloroquine (CQ), which inhibit biocrystallization heme. study, we explore heme-binding interactions with...
Protein catalyzed capture agents (PCCs) are synthetic antibody surrogates that can target a wide variety of biologically relevant proteins. As step toward developing high-throughput PCC pipeline, we report on the preparation barcoded rapid assay platform for analysis hits from library screens. The is constructed by first surface patterning micrometer scale barcode composed orthogonal ssDNA strands onto glass slide. slide then partitioned into microwells, each which contains multiple copies...
Abstract We describe a general synthetic strategy for developing high‐affinity peptide binders against specific epitopes of challenging protein biomarkers. The epitope interest is synthesized as polypeptide, with detection biotin tag and strategically placed azide (or alkyne) presenting amino acid. This (SynEp) incubated library complementary alkyne or peptides. Library elements that bind the SynEp in correct orientation undergo Huisgen cycloaddition, are covalently linked to SynEp. Hit...
Failure of rolling bearings is a common mechanical problem, and traditional fault diagnosis methods require experienced experts have limited effectiveness for large-scale data processing analysis. This study optimizes the parameters image recognition model Darknet19 network based on Gray Wolf Optimization algorithm. The adjusts structure by comparing different neural networks horizontally to make it more suitable bearing tasks. Experimental results show that with optimized GWO algorithm...
The development of drug resistance is a nearly universal phenomenon in patients with glioblastoma multiforme (GBM) brain tumors. Upon treatment, GBM cancer cells may initially undergo drug-induced cell-state change to drug-tolerant, slow-cycling state. kinetics that process are not well understood, part due the heterogeneity tumors and tumor models, which can confound interpretation kinetic data. Here, we resolve drug-adaptation patient-derived vitro model characterized by epithelial growth...
Abstract A self-attention-based method termed as Vision Transformer (ViT) is applied to efficiently detect the Surface Defects of Steel Plate. The defect image divided N*N patches, each which corresponds a word, and whole data used sentence or paragraph in NPL. ViT framework constructed by learnable module with sequence length L 12 multi-head attention layers. We train proposed model on surface defects dataset. experiment results show empirically that has superior performance compared...
The complexity of supply chain network structure makes the risk propagation among enterprises in more and complicated. This paper constructs a SEIR model for complex networks based on analytical idea contagion model, which reveals mechanism from macro perspective. article verifies existence threshold stability different equilibrium points by analyzing basic regeneration number, point model; explores effectiveness parameters number combining sensitivity analysis; them using MATLAB simulation...