A5078283071- Aquaculture disease management and microbiota
- Invertebrate Immune Response Mechanisms
- Visual perception and processing mechanisms
- Human-Automation Interaction and Safety
- Immune Response and Inflammation
- Risk and Safety Analysis
- RNA modifications and cancer
- Occupational Health and Safety Research
- Computational Drug Discovery Methods
- Neural dynamics and brain function
- Aquaculture Nutrition and Growth
- Crystallization and Solubility Studies
- T-cell and B-cell Immunology
- Safety Warnings and Signage
- Protein Degradation and Inhibitors
- Color perception and design
- Color Science and Applications
- Immune Cell Function and Interaction
- X-ray Diffraction in Crystallography
- Animal Virus Infections Studies
- Monoclonal and Polyclonal Antibodies Research
- Vibrio bacteria research studies
- Millimeter-Wave Propagation and Modeling
- SARS-CoV-2 and COVID-19 Research
- Machine Learning in Materials Science
Shanghai Institute of Materia Medica
2015-2025
University of Chinese Academy of Sciences
2016-2025
Guangdong Medical College
2025
Hebei North University
2019-2025
Xian Center for Disease Control and Prevention
2025
Heilongjiang University of Science and Technology
2025
Michigan State University
2019-2024
Ocean University of China
2015-2024
Ningbo University
2023-2024
Fujian Medical University
2022-2024
p300 and CREB-binding protein (CBP) are ubiquitously expressed pleiotropic lysine acetyltransferases play a key role as transcriptional co-activators that essential for multitude of cellular processes. Despite great importance, there is lack highly selective, potent, druglike p300/CBP inhibitors. Through the artificial-intelligence-assisted drug discovery pipeline further optimization, we reported novel, potent small-molecule inhibitors histone (HAT) with desired properties, exemplified by...
Hypothalamus-pituitary-adrenal (HPA) hyperactivity is observed in many patients suffering from depression and the mechanism underling dysfunction of HPA axis not well understood. Chronic stress has a causal relationship with axis. Stress induces over-synthesis glucocorticoids, which will arrive at all body containing brain. It still complicated whether glucocorticoids account for chronic stress-induced part brain hyperactivity. Here, we demonstrated that were indispensable sufficient...
Recent years have seen a rapid growth of utilizing graph neural networks (GNNs) in the biomedical domain for tackling drug-related problems. However, like any other deep architectures, GNNs are data hungry. While requiring labels real world is often expensive, pretraining an unsupervised manner has been actively explored. Among them, contrastive learning, by maximizing mutual information between paired augmentations, shown to be effective on various downstream tasks. current learning...
Drought is a major abiotic stress that threatens crop production. Soil microbiomes are thought to play role in enhancing plant adaptation various stresses. However, it remains unclear whether soil key when plants challenged by drought and different varieties enriched with specific bacteria at the rhizosphere. In this study, we measured changes growth phenotypes, physiological biochemical characteristics of drought-tolerant alfalfa (AH) drought-sensitive (QS) under sterilized unsterilized...
Abstract Many neurons in the posterior-parietal cortex (PPC) have saccadic responses to visual and auditory targets. The are modulated by eye position head position. These findings suggest that PPC integrates multisensory inputs may provide information about targets represented different coordinate frames. In addition an eye-centered output representation, also project brain areas which contain head-centered body-centered representations of space. this report, possible transformations were...
Outer membrane protein C of Edwardsiella tarda is a major cell surface antigen and it was identified to be an immunogenic by Western blot using flounder (Paralichthys olivaceus) anti-recombinant OmpC (rOmpC), anti-E. antibodies. rOmpC tested the immune protective effect against E. challenge in model produced relative percentage survival rate 85%. The response induced investigated, results showed that: (1) levels specific serum antibodies were significantly higher than control group after...
Hybrid analog/digital processing is crucial for millimeter-wave (mmWave) MIMO systems due to its ability balance the gain and cost. Despite fruitful recent studies, optimal beamforming/combining method remains unknown a practical multiuser, broadband mmWave equipped with low-resolution phase shifters analog-to-digital converters (ADCs). In this paper, we leverage artificial intelligence techniques tackle problem. Particularly, propose neural hybrid (NHB) system, where various types of are...
Abstract Hepatocyte apoptosis plays an essential role in the progression of nonalcoholic steatohepatitis (NASH). However, molecular mechanisms underlying hepatocyte remain unclear. Here, we identify UDP-glucose 6-dehydrogenase (UGDH) as a suppressor NASH-associated liver damage by inhibiting RIPK1 kinase-dependent apoptosis. UGDH is progressively reduced proportion to NASH severity. absence from hepatocytes hastens development male mice with NASH, which suppressed kinase-dead knockin...
Abstract Background Lung cancer is a malignant tumor with the highest mortality worldwide. Abnormalities in ubiquitin proteasome system are considered to be contributed lung progression deleterious effects. DDB1 and CUL4 associated factor 13 (DCAF13) substrate receptor of E3 ligase CRL4, but its role remains unknown. In this study, we aimed investigate regulatory mechanisms DCAF13 adenocarcinoma (LUAD). Methods So as effect on cell function using vivo vitro. Mechanistically, have identified...
Bromodomain-containing protein 4 (BRD4) is implicated in the pathogenesis of a number different cancers, inflammatory diseases and heart failure. Much effort has been dedicated toward discovering novel scaffold BRD4 inhibitors (BRD4is) with selectivity profiles potential antiresistance properties. Structure-based drug design (SBDD) virtual screening (VS) are most frequently used approaches. Here, we demonstrate novel, structure-based VS approach that uses machine-learning algorithms trained...
Abstract Motivation: Discovering the relevant therapeutic targets for drug-like molecules, or their unintended ‘off-targets’ that predict adverse drug reactions, is a daunting task by experimental approaches alone. There thus high demand to develop computational methods capable of detecting these potential interacting efficiently. Results: As biologically annotated chemical data are becoming increasingly available, it becomes feasible explore such existing knowledge identify ligand–target...