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Article
Molecularly imprinted polymer for theophylline retention and molecular recognition properties in capillary electrochromatography
Molecular imprinting of theophylline in poly (methacrylic acid- ethylene dimethacrylate) as CEC stationary phases was synthesized by an in situ photo-initiated polymerization reaction. The effect of electrolyt...
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Article
Open AccessALDH2 protects against stroke by clearing 4-HNE
Aldehyde dehydrogenase 2 (ALDH2) is a mitochondrial enzyme that metabolizes ethanol and toxic aldehydes such as 4-hydroxy-2-nonenal (4-HNE). Using an unbiased proteomic search, we identified ALDH2 deficiency i...
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Article
Introduction to the CDEX experiment
It is believed that weakly interacting massive particles (WIMPs) are candidates for dark matter (DM) in our universe which come from outer space and might interact with the standard model (SM) matter of our de...
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Article
Fungal diversity notes 603–708: taxonomic and phylogenetic notes on genera and species
This is the sixth in a series of papers where we bring collaborating mycologists together to produce a set of notes of several taxa of fungi. In this study we introduce a new family Fuscostagonosporaceae in Dothi...
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Article
The predictive value of minimal residual disease when facing the inconsistent results detected by real-time quantitative PCR and flow cytometry in NPM1-mutated acute myeloid leukemia
For acute myeloid leukemia (AML) with nucleophosmin 1 mutation (NPM1m), multiparameter flow cytometry (FCM) and real-time quantitative polymerase chain reaction (RQ-PCR) are used to monitor minimal residual disea...
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Chapter and Conference Paper
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model
Machine learning methods are increasingly being applied to model and predict biomolecular interactions, while efficient feature representation plays a vital role. To this end, a unified biological sequence dee...
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Chapter and Conference Paper
A Novel Computational Approach for Predicting Drug-Target Interactions via Network Representation Learning
Detection of drug-target interactions (DTIs) has a beneficial effect on both pathogenesis and drugs discovery. Although a huge number of DTIs have been generated recently, the number of known interactions is s...
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Article
Changes of phenolic compounds, antioxidant capacities, and inhibitory effects on digestive enzymes of kiwifruits (Actinidia chinensis) during maturation
Phenolic compounds are considered the main bioactive components in kiwifruit. In order to well understand the accumulation pattern of health-beneficial phenolics, and to obtain high-quality kiwifruits with hea...
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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.
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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
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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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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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 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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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 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 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 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 ...
