A5101936817- Computational Drug Discovery Methods
- Machine Learning in Materials Science
- Guidance and Control Systems
- Ferroptosis and cancer prognosis
- Pain Mechanisms and Treatments
- Fault Detection and Control Systems
- Biomedical Text Mining and Ontologies
- Adaptive Dynamic Programming Control
- Additive Manufacturing Materials and Processes
- Hedgehog Signaling Pathway Studies
- Cardiac Valve Diseases and Treatments
- Advanced biosensing and bioanalysis techniques
- Congenital limb and hand anomalies
- Target Tracking and Data Fusion in Sensor Networks
- Luminescence and Fluorescent Materials
- Protein Structure and Dynamics
- Reliability and Maintenance Optimization
- Advanced Battery Technologies Research
- Infective Endocarditis Diagnosis and Management
- Distributed Control Multi-Agent Systems
- Military Defense Systems Analysis
- Pharmacogenetics and Drug Metabolism
- Adaptive Control of Nonlinear Systems
- Neuroinflammation and Neurodegeneration Mechanisms
- Pain Management and Placebo Effect
Xi'an Jiaotong University
2023-2025
Dali University
2025
Fudan University
2021-2025
Huashan Hospital
2025
Third Affiliated Hospital of Sun Yat-sen University
2020-2024
Sun Yat-sen University
2020-2024
West China Hospital of Sichuan University
2024
Beijing Institute of Technology
2018-2024
Chinese Academy of Sciences
2024
Nanjing Agricultural University
2024
Abstract Motivation Drug–drug interactions (DDIs) are one of the major concerns in pharmaceutical research. Many machine learning based methods have been proposed for DDI prediction, but most them predict whether two drugs interact or not. The studies revealed that DDIs could cause different subsequent events, and predicting DDI-associated events is more useful investigating mechanism hidden behind combined drug usage adverse reactions. Results In this article, we collect from DrugBank...
Drug-drug interactions are one of the main concerns in drug discovery. Accurate prediction drug-drug plays a key role increasing efficiency research and safety when multiple drugs co-prescribed. With various data sources that describe relationships properties between drugs, comprehensive approach integrates would be considerably effective making high-accuracy prediction. In this paper, we propose Deep Attention Neural Network based Drug-Drug Interaction framework, abbreviated as DANN-DDI, to...
Relationships between iron-dependent ferroptosis and nerve system diseases have been recently revealed. However, the role of in neuropathic pain (NeP) remains to be elucidated. Thus, we aimed investigate whether spinal cord contributes NeP induced by a chronic constriction injury (CCI) sciatic nerve.Forty Sprague-Dawley rats received CCI or sham surgery, were randomly assigned following four groups: group; + LIP Veh group. Liproxstatin-1 corn oil separately injected intraperitoneally for...
Abstract Drug–drug interactions (DDIs) are one of the major concerns in pharmaceutical research, and a number computational methods have been developed to predict whether two drugs interact or not. Recently, more attention has paid events caused by DDIs, which is useful for investigating mechanism hidden behind combined drug usage adverse reactions. However, some rare may only few examples, hindering them from being precisely predicted. To address above issues, we present few-shot method...
Peripheral nerve damage causes neuroinflammation, which plays a critical role in establishing and maintaining neuropathic pain (NeP). The mechanisms contributing to neuroinflammation remain poorly elucidated, pharmacological strategies for NeP are limited. Thus, this study, we planned explore the possible link between astrocyte senescence disorders following chronic sciatic injury.An animal model was established by inducing constrictive injury (CCI) adult rats. A senolytic drug combination...
Pain and psychological disorders are the 2 most commonly occurring symptom clusters in patients with postherpetic neuralgia (PHN). This study aimed to investigate risk factors for anxiety depressive PHN.Retrospectively, we examined potential of depression among PHN from clinic medical records Third Affiliated Hospital Sun Yat-Sen University 2017 2019. The Chinese version Anxiety Depression Scale was used assess depression. Patients were retrospectively allocated groups - without...
Previous studies have confirmed the relationship between iron-dependent ferroptosis and a peripheral nerve injury-induced neuropathic pain model. However, role of in inflammatory remains inconclusive. Therefore, we aimed to explore whether spinal cord dorsal root ganglion contributes complete Freund's adjuvant (CFA)-induced painful behaviors rats. Our results revealed that various biochemical morphological changes were associated with tissues CFA These included iron overload, enhanced lipid...
The identification of active binding drugs for target proteins (referred to as drug-target interaction prediction) is the key challenge in virtual screening, which plays an essential role drug discovery. Although recent deep learning-based approaches achieve better performance than molecular docking, existing models often neglect topological or spatial intermolecular information, hindering prediction performance. We recognize this problem and propose a novel approach called Intermolecular...
Abstract Drug-drug interactions are one of the main concerns in drug discovery. Accurate prediction drug-drug plays a key role increasing efficiency research and safety when multiple drugs c o-prescribed. With various data sources that describe relationships properties between drugs, comprehensive approach integrates would be considerably effective making high-accuracy prediction. In this paper, we propose Deep Attention Neural Network based Drug-Drug Interaction framework, abbreviated as...
Cognitive impairment is a complication that most frequently happens in patients with chronic neuropathic pain and has limited effective therapy. The aim of this study was to explore the effects curcumin on cognitive deficit rats peripheral nerve injury induced-neuropathic pain.The rat model constructed using constriction (CCI). (60 mg/kg) or vehicle intraperitoneally administered once day, beginning at 14th day after surgery continued for 14 consecutive days. nociceptive threshold tests were...
Nowadays, the rapid development of hypersonic vehicles brings great challenges to missile defense system. As achieving successful interception depends highly on terminal guidance laws, research laws for intercepting maneuvering targets has aroused increasing attention. Artificial intelligence technologies, such as deep reinforcement learning (DRL), have been widely applied improve performance laws. However, existing DRL rarely consider partial observability problem onboard sensors, resulting...
What is the efficacy of maintaining or restoring non-pregnant status with low-dose mifepristone combined misoprostol administered before expected menstruation? Low-dose and at time menstruation was effective safe in status, no obvious menstrual disturbance. Menstrual regulation involves medical mechanical stimulation uterine sloughing women up to 2–3 weeks delay. plus efficacious for termination ultra-early pregnancy (≤35 days amenorrhoea) A total 678 fulfilled all criteria were recruited....
Abstract As one of the critical cores digital twin (DT), data assimilation (DA) can maintain consistency and synchronization between DT physical system. Kalman filtering is a common DA method, but its estimation performance deteriorated by factors such as model inaccuracy time-varying noise covariance in practical applications. The errors caused these multiple uncertainties are all coupled to measurements, which augments difficulty for obtain system information. In order tackle problem with...