A5100760185- Computational Drug Discovery Methods
- Plant biochemistry and biosynthesis
- Plant Gene Expression Analysis
- Gene expression and cancer classification
- Gut microbiota and health
- Machine Learning in Materials Science
- Machine Learning in Bioinformatics
- Plant Reproductive Biology
- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Face and Expression Recognition
- Plant Molecular Biology Research
- GABA and Rice Research
- Landslides and related hazards
- Image Retrieval and Classification Techniques
- Postharvest Quality and Shelf Life Management
- Bioinformatics and Genomic Networks
- DNA Repair Mechanisms
- RNA and protein synthesis mechanisms
- MicroRNA in disease regulation
- Antimicrobial Peptides and Activities
- Protein Structure and Dynamics
- Animal Genetics and Reproduction
- Chemical Synthesis and Analysis
University of Tsukuba
2023-2025
Huazhong University of Science and Technology
2021-2024
Huaiyin Institute of Technology
2023-2024
Union Hospital
2021-2024
Sun Yat-sen University
2022-2024
Nanjing Foreign Language School
2024
China Geological Survey
2024
Northwest A&F University
2018-2024
Sichuan University
2023-2024
State Key Laboratory of Biotherapy
2024
Atypical teratoid/rhabdoid tumor is a rare malignant CNS that most often affects children ≤3 years old. The Central Brain Tumor Registry of the United States contains largest aggregation population-based incidence data for primary tumors in US. Its were used to describe incidence, associated trends, and relative survival after diagnosis atypical tumor. Using from 50 cancer registries between 2001 2010, age-adjusted rates per 100 000 95% CIs calculated by sex, race, Hispanic ethnicity, age at...
Object: Primary osteoporosis (PO) is the most common bone disease, which characterized by decreased mass, damage of tissue microstructure, increased fragility and prone to fracture. Gut microbiome may be involved in metabolism PO through gut–brain axis regulation immune system endocrine system, however, specific mechanism still unclear. The purpose this study was characterize gut patients with its possible role occurrence development disease. Methods: Fecal samples were collected from 48...
Abstract Language models have shown the capacity to learn complex molecular distributions. In field of generation, they are designed explore distribution molecules, and previous studies demonstrated their ability molecule sequences. early times, recurrent neural networks (RNNs) were widely used for feature extraction from sequence data been various generation tasks. recent years, attention mechanism has become popular. It captures underlying relationships between words is applied language...
The plant hormone jasmonic acid plays an important role in growth and development, participating many physiological processes, such as disease resistance, stress organ root growth, flowering. With the improvement living standards, people have higher requirements regarding quality of vegetables. However, during process vegetables, they are often attacked by pests diseases undergo abiotic stresses, resulting their restriction decreases yield quality. Therefore, found ways to regulate vegetable...
Background: The application of deep generative models for molecular discovery has witnessed a significant surge in recent years. Currently, the field generation and optimization is predominantly governed by autoregressive regardless how data represented. However, an emerging paradigm domain diffusion models, which treat non-autoregressively have achieved breakthroughs areas such as image generation. Methods: potential capability tasks remain largely unexplored. In order to investigate...
Cyclic peptides, known for their high binding affinity and low toxicity, show potential as innovative drugs targeting "undruggable" proteins. However, therapeutic efficacy is often hindered by poor membrane permeability. Over the past decade, FDA has approved an average of one macrocyclic peptide drug per year, with romidepsin being only intracellular site. Biological experiments to measure permeability are time-consuming labor-intensive. Rapid assessment cyclic crucial development. In this...
Intracerebral hemorrhage (ICH) remains a life-threatening condition due to its high mortality and limited treatment options. This study explores novel therapeutic strategy using engineered exosomes derived from endothelial progenitor cells (EPC-EXOs) improve ICH outcomes. EPC-EXOs were modified with CD47-enriched red blood cell membrane via co-extrusion enhance their anti-phagocytic properties, thereby reducing degradation by activated microglia after ICH. A minimally invasive...
Generating realistic images from text descriptions is a challenging problem in computer vision. Although previous works have shown remarkable progress, guaranteeing semantic consistency between and remains challenging. To generate semantically consistent images, we propose two semantics-enhanced modules novel Textual-Visual Bidirectional Generative Adversarial Network (TVBi-GAN). Specifically, this paper proposes semanticsenhanced attention module batch normalization module. These improve of...
With cDNA microarrays, it is now possible to compare the expression of many genes simultaneously. To maximize likelihood finding whose altered under experimental conditions, would be advantageous able select clones for tissue-appropriate sets. We have taken advantage extensive sequence information in dbEST expressed tag (EST) database identify a neural crest-derived melanocyte set microarray analysis. Analysis characterized with identified one library that contained ESTs representing 21...