β-sitosterol alleviates neuropathic pain by affecting microglia polarization through inhibiting tlr4/nf-κb signaling pathway

Medicine, Neurology, Pharmacy, Life Sciences, Cell Biology, Biochemistry, Immunology,
β-sitosterol   tlr4   nf-κb   gmi-r1   inflammation   sciatica  

β-Sitosterol Alleviates Neuropathic Pain by Inhibiting the TLR4/NF-κB Signaling Pathway Background Neuropathic pain is a common and difficult-to-treat chronic pain condition in clinical practice, with complex and not fully understood etiology. Research has shown that neuroinflammation is one of the main causes of chronic neuropathic pain. Microglia...

Synthetic Lethality Beyond BRCA: A Phase I Study of Rucaparib and Irinotecan in Metastatic Solid Tumors with Homologous Recombination-Deficiency Mutations

Medicine, Basic Medical Sciences, Pharmacy, Oncology,
Rucaparib   Irinotecan   Metastatic solid tumors   Homologous recombination deficiency   Phase I trial  

Research Background In recent years, Poly ADP-ribose Polymerase (PARP) inhibitors have shown significant efficacy as a key approach to treat hereditary BRCA1/2 mutation cancers. However, their effectiveness on tumors with other homologous recombination deficiency (HRD) gene mutations such as ATM, CDK12, and CHEK2 has been less satisfactory. Hence, ...

Development of Complemented Comprehensive Networks for Rapid Screening of Repurposable Drugs Applicable to New Emerging Disease Outbreaks

Chemistry, Medicinal Chemistry, Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Pharmacy, Life Sciences, Immunology, Microbiology,
drug repurposing   network medicine   graph-based semi-supervised learning   COVID-19  

Research on Network Construction and Application of Novel Drug Repositioning Strategies Background During the COVID-19 pandemic, researchers and pharmaceutical companies have been dedicated to developing treatments and vaccines. Drug repositioning, due to its shortcut, is considered a rapid and effective response strategy. Drug repositioning attemp...

Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction

Information Science, Computer Science, Artificial Intelligence, Medicine, Pharmacy, Life Sciences, Biochemistry,
Drug-Disease Association   Contrastive Learning   Graph Neural Networks   Negative Sampling   Heterogeneous Network  

Research on Drug-Disease Association Prediction Using Graph Contrastive Learning Based on Layered Negative Sampling The prediction of drug-disease associations (RDAs) plays a critical role in unveiling disease treatment strategies and promoting drug repurposing. However, existing methods mainly rely on limited domain-specific knowledge when predict...

Dual-Level Interaction Aware Heterogeneous Graph Neural Network for Medicine Package Recommendation

Information Science, Computer Science, Artificial Intelligence, Medicine, Environmental and Public Health, Pharmacy,
medicine package recommendation   dual-level interaction   heterogeneous graph neural network   electronic health records   clinical decision-making  

Research on Medical Package Recommendation Systems: Heterogeneous Graph Neural Network Based on Dual-Level Interaction Awareness With the widespread application of electronic health records (EHRs) in the medical field, how to mine potential and valuable medical knowledge to support clinical decision-making has become an important research direction...

Equivariant 3D Conditional Diffusion Model for Molecular Linker Design

Equivariant 3D Conditional Diffusion Model for Molecular Linker Design

Chemistry, Medicinal Chemistry, Computational Chemistry, Information Science, Artificial Intelligence, Medicine, Pharmacy,
molecular linker design   drug design   generative model  

From early drug discovery researchers face a daunting challenge – to find drug-like candidate molecules among approximately 10^60 possible molecular structures. One successful solution is to start from smaller “fragment” molecules, a strategy known as fragment-based drug design (FBDD). In the FBDD process, the first step is to computationally scree...