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Article
Open AccessLandform and lithospheric development contribute to the assembly of mountain floras in China
Although it is well documented that mountains tend to exhibit high biodiversity, how geological processes affect the assemblage of montane floras is a matter of ongoing research. Here, we explore landform-spec...
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Article
Radiation-induced nasopharyngeal ulcers after re-irradiation with intensity-modulated radiotherapy in locoregional recurrent nasopharyngeal carcinoma patients: a dose–volume–outcome analysis
To analyze the interrelation between radiation dose and radiation-induced nasopharyngeal ulcer (RINU) in locoregional recurrent nasopharyngeal carcinoma (NPC) treated with intensity-modulated radiation therapy...
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Article
Open AccessBiocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks
As an important task in bioinformatics, clustering analysis plays a critical role in understanding the functional mechanisms of many complex biological systems, which can be modeled as biological networks. The...
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Article
Open AccessThe amino acid metabolomics signature of differentiating myocardial infarction from strangulation death in mice models
This study differentiates myocardial infarction (MI) and strangulation death (STR) from the perspective of amino acid metabolism. In this study, MI mice model via subcutaneous injection of isoproterenol and ST...
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Article
Challenges and Perspectives in Target Identification and Mechanism Illustration for Chinese Medicine
Chinese medicine (CM) is an important resource for human life understanding and discovery of drugs. However, due to the unclear pharmacological mechanism caused by unclear target, research and international pr...
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Article
Discovery and characterization of a novel cGAS covalent inhibitor for the treatment of inflammatory bowel disease
Cyclic GMP-AMP synthase (cGAS), a cytosolic DNA sensor, acts as a nucleotidyl transferase that catalyzes ATP and GTP to form cyclic GMP-AMP (cGAMP) and plays a critical role in innate immunity. Hyperactivation...
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Chapter and Conference Paper
A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks
Computational drug repositioning is a promising strategy in discovering new indicators for approved or experimental drugs. However, most of computational-based methods fall short of taking into account the non...
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Chapter and Conference Paper
Multi-level Subgraph Representation Learning for Drug-Disease Association Prediction Over Heterogeneous Biological Information Network
Identifying new indications for existing drugs is a crucial role in drug research and development. Computational-based methods are normally regarded as an effective way to infer drugs with new indications. The...
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Article
Open AccessMass testing and characterization of 20-inch PMTs for JUNO
Main goal of the JUNO experiment is to determine the neutrino mass ordering using a 20 kt liquid-scintillator detector. Its key feature is an excellent energy resolution of at least 3% at 1 MeV, for which its ...
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Article
Open AccessRLFDDA: a meta-path based graph representation learning model for drug–disease association prediction
Drug repositioning is a very important task that provides critical information for exploring the potential efficacy of drugs. Yet develo** computational models that can effectively predict drug–disease assoc...
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Article
Open AccessMulti-view heterogeneous molecular network representation learning for protein–protein interaction prediction
Protein–protein interaction (PPI) plays an important role in regulating cells and signals. Despite the ongoing efforts of the bioassay group, continued incomplete data limits our ability to understand the mole...
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Article
Open AccessMetagenomic analysis reveals the different characteristics of microbial communities inside and outside the karst tiankeng
Karst tiankengs serve as a reservoir of biodiversity in the degraded karst landscape areas. However, the microbial diversity of karst tiankengs is poorly understood. Here, we investigated the composition and f...
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Article
Open AccessCircUBE2Q2 promotes differentiation of cattle muscle stem cells and is a potential regulatory molecule of skeletal muscle development
The growth and development of muscle stem cells (MuSCs) are significant events known to affect muscle plasticity, disease, meat production, and meat quality, which involves the types and functions of mRNA and ...
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Chapter and Conference Paper
MRLDTI: A Meta-path-Based Representation Learning Model for Drug-Target Interaction Prediction
Predicting the relationships between drugs and targets is a crucial step in the course of drug discovery and development. Computational prediction of associations between drugs and targets greatly enhances the...
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Article
Open AccessIn silico drug repositioning using deep learning and comprehensive similarity measures
Drug repositioning, meanings finding new uses for existing drugs, which can accelerate the processing of new drugs research and development. Various computational methods have been presented to predict novel d...
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Article
Open AccessA comprehensive enhancer screen identifies TRAM2 as a key and novel mediator of YAP oncogenesis
Frequent activation of the co-transcriptional factor YAP is observed in a large number of solid tumors. Activated YAP associates with enhancer loci via TEAD4-DNA-binding protein and stimulates cancer aggressiv...
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Chapter and Conference Paper
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation
Protein-protein interaction (PPI) plays an important role in regulating cells and signals. PPI deregulation will lead to many diseases, including pernicious anemia or cancer. Despite the ongoing efforts of the...
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Chapter and Conference Paper
Detection of Drug-Drug Interactions Through Knowledge Graph Integrating Multi-attention with Capsule Network
Drug-drug interaction (DDI) prediction is a challenging problem in drug development and disease treatment. Current computational studies mainly solve this problem by designing features and extracting features ...
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Chapter and Conference Paper
Predicting miRNA-Disease Associations via a New MeSH Headings Representation of Diseases and eXtreme Gradient Boosting
Taking into account the intrinsic high cost and time-consuming in traditional Vitro studies, a computational approach that can enable researchers to easily predict the potential miRNA-disease associations is i...
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Article
The effect of spleen tyrosine kinase inhibitor R406 on diabetic retinopathy in experimental diabetic rats
To investigate the effect of spleen tyrosine kinase (Syk) inhibitor R406 on diabetic retinopathy (DR) in diabetic mellitus (DM) rats.
