A5100617402- Peripheral Neuropathies and Disorders
- Bone Metabolism and Diseases
- Chemical Synthesis and Analysis
- Cytokine Signaling Pathways and Interactions
- Multiple Sclerosis Research Studies
- Computational Drug Discovery Methods
- Genetics, Bioinformatics, and Biomedical Research
- T-cell and B-cell Immunology
- Health Systems, Economic Evaluations, Quality of Life
- Fusion materials and technologies
- Geochemistry and Geologic Mapping
- Antenna Design and Analysis
- Probiotics and Fermented Foods
- Histone Deacetylase Inhibitors Research
- Macrophage Migration Inhibitory Factor
- Machine Learning in Bioinformatics
- Statistical Methods in Clinical Trials
- Vasculitis and related conditions
- Biomedical Text Mining and Ontologies
- Antenna Design and Optimization
- Microstructure and Mechanical Properties of Steels
- Genomics and Phylogenetic Studies
- Myasthenia Gravis and Thymoma
- Dental materials and restorations
- Inflammasome and immune disorders
Xinxiang Medical University
2021-2025
Henan Institute of Technology
2025
Xinxiang University
2021-2025
Northeastern University
2024
Air Force Medical University
2017-2024
Vertex Pharmaceuticals (United States)
2024
First Affiliated Hospital of Xi'an Jiaotong University
2023
Xijing Hospital
2023
Eighth Affiliated Hospital of Sun Yat-sen University
2022-2023
Sun Yat-sen University
2021-2023
Motivated by regression analysis for microbiome compositional data, this article considers generalized linear with covariates, where a group of constraints on coefficients are imposed to account the nature data and achieve subcompositional coherence. A penalized likelihood estimation procedure using accelerated proximal gradient method is developed efficiently estimate coefficients. de-biased obtain asymptotically unbiased normally distributed estimates, which leads valid confidence...
Little is known about temporal changes in nasal bacteria granulomatosis with polyangiitis (GPA). This study was undertaken to examine longitudinal the microbiome association relapse GPA patients.Bacterial 16S ribosomal RNA gene sequencing performed on swabs from 19 patients who were followed up longitudinally for a total of 78 visits, including 9 experienced and 10 remained remission. Relative abundance ratios between examined. Generalized estimating equation models used evaluate bacterial...
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed run efficiently on devices and large server-based for Private Cloud Compute. These are perform wide range of tasks efficiently, accurately, responsibly. This report describes the architecture, data used train model, training process, how optimized inference, evaluation results. highlight our focus Responsible AI principles applied throughout development.
Abstract The binding pocket of the main protease (M pro ) is highly conserved and recognized as a promising target for designing anti‐COVID‐19 inhibitors. Given significant role traditional Chinese medicine in combating SARS‐CoV‐2, over 20,000 small molecules derived from were virtually screened against M , resulting identification TCM11135 ( Hc1 ), TCM20595 Hc2 TCM22179 Hc3 TCM22701 Hc4 present study. Subsequent free energy calculations based on molecular dynamics simulations indicated that...
Abstract Background Mutations in the signal transducers and activators of transcription 3 ( STAT3 ) gene result hyper-IgE syndrome(HIES), a rare immunodeficiency that causes abnormalities immune system, bones teeth. However, role Stat3 development dental hard tissues was yet to investigate. Methods In this study, transgenic mouse conditional knockout mesenchymal cells Osx - Cre ; fl/fl , CKO) made. The differences postnatal tooth between control CKO mice were compared by histology, µCT...
Protein language models are a powerful tool for learning protein representations through pre-training on vast sequence datasets. However, traditional lack explicit structural supervision, despite its relevance to function. To address this issue, we introduce the integration of remote homology detection distill information into without requiring structures as input. We evaluate impact structure-informed training downstream function prediction tasks. Experimental results reveal consistent...
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system primarily mediated by CD4
Lysine-specific demethylase 1 (LSD1) is a histone-modifying enzyme, which significant target for anticancer drug research. In this work, 40 reported tetrahydroquinoline-derivative inhibitors targeting LSD1 were studied to establish the three-dimensional quantitative structure–activity relationship (3D-QSAR). The established models CoMFA (Comparative Molecular Field Analysis (q2 = 0.778, Rpred2 0.709)) and CoMSIA Similarity Index 0.764, 0.713)) yielded good statistical predictive properties....
The identification of drug-target interactions (DTIs) is an essential step in the process drug discovery. As experimental validation suffers from high cost and low success rate, various computational models have been exploited to infer potential DTIs. performance DTI prediction depends heavily on features extracted drugs target proteins. existing predictors vary input information each has its own advantages. Therefore, combining advantages individual generating high-quality representations...
Abstract Motivation The delicate balance of the microbiome is implicated in our health and shaped by external factors, such as diet xenobiotics. Therefore, understanding role linking factors conditions crucial to translate research into therapeutic preventative applications. Results We introduced a sparse compositional mediation model for binary outcomes estimate test effects utilizing algebra defined simplex space linear zero-sum constraint on probit regression coefficients. For this with...
Abstract Background and purpose To summarize the clinical characteristics of patients with muscle-specific kinase antibody-associated myasthenia gravis (MuSK-MG) to evaluate therapeutic responses different treatment regimes. Methods Eighteen MuSK-MG admitted in our department between October 2017 September 2020 were included. Clinical parameters collected immunosuppressive drugs assessed by MGFA Postintervention Status (MGFA-PIS). Meanwhile, correlation QMG scores MuSK antibody titers...
Existing evidence indicates anti-GABAB receptor encephalitis (GABABR-E) seems to occur more commonly later in life, yet the age-associated differences clinical features and outcomes are not well determined. This study aims explore demographic, characteristics, prognostic between late-onset early-onset GABABR-E identify predictors of favorable long-term outcomes.This is an observational retrospective conducted 19 centers from China. Data 62 patients with were compared (aged 50 years or older)...
Protein function annotation is an important yet challenging task in biology. Recent deep learning advancements show significant potential for accurate prediction by from protein sequences and structures. Nevertheless, these predictor-based methods often overlook the modeling of similarity, idea commonly employed traditional approaches using sequence or structure retrieval tools. To fill this gap, we first study effect inter-protein similarity benchmarking retriever-based against predictors...
Guillain-Barré syndrome (GBS) is one of the most common causes acute flaccid paralysis. A timely assessment this disease condition and its treatments are vital importance to patients diagnosed with GBS. The purpose study investigate variation trend neutrophils along courses assess prognostic value serum low-density (LDNs) in acute-onset recurrence GBS.A total 176 GBS were recruited. Patients evaluated Medical Research Council (MRC) sum score Hughes Functional Grading Scale upon admission....
We consider high dimensional $M$-estimation in settings where the response $Y$ is possibly missing at random and covariates $\mathbf{X} \in \mathbb{R}^p$ can be compared to sample size $n$. The parameter of interest $\boldsymbolθ_0 \mathbb{R}^d$ defined as minimizer risk a convex loss, under fully non-parametric model, $\boldsymbolθ_0$ itself which key distinction from existing works. Standard regression series estimation with misspecified models are included special cases, well their...
Abstract Background Signal transducer and activator of transcription 3 (Stat3) is a cytoplasmic factor that participates in various biologic processes. Loss Stat3 causes hyperimmunoglobulin E syndrome, presenting with skeletal disorders including osteoporosis, recurrent fractures, scoliosis, craniosynostosis. The objective this study to explore the effect mechanism on osteogenesis mesenchymal progenitors. Methods was conditionally knockout (CKO) progenitors by crossing pair-related homeobox...