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Glycogen Synthase Kinase 3 beta

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Platelet-rich plasma inhibits Wnt/β-catenin signaling in rabbit cartilage cells activated by IL-1β.

International immunopharmacology 29291543
OBJECTIVE: Platelet-rich plasma (PRP) has been reported to alleviate degenerative pathological damage to joint cartilage. This study aimed to investigate the effect of PRP on Wnt/β-catenin signaling in rabbit chondrocytes.
Animals beta Catenin Cartilage Oligomeric Matrix Protein Cell Survival Cells, Cultured Chondrocytes Collagen Type II Glycogen Synthase Kinase 3 beta Interleukin-1beta Knee Joint Osteoarthritis Platelet-Rich Plasma Rabbits Wnt Signaling Pathway Wnt1 Protein
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PTML Modeling for Alzheimer's Disease: Design and Prediction of Virtual Multi-Target Inhibitors of GSK3B, HDAC1, and HDAC6.

Current topics in medicinal chemistry 32515311
BACKGROUND: Alzheimer's disease is characterized by a progressive pattern of cognitive and functional impairment, which ultimately leads to death. Computational approaches have played an important role in the context of drug discovery for anti-Alzhei...
Alzheimer Disease Drug Design Glycogen Synthase Kinase 3 beta Histone Deacetylase 1 Histone Deacetylase 6 Histone Deacetylase Inhibitors Humans Machine Learning Models, Molecular Molecular Structure Neural Networks, Computer Protein Kinase Inhibitors
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Machine Learning and Enhanced Sampling Simulations for Computing the Potential of Mean Force and Standard Binding Free Energy.

Journal of chemical theory and computation 34260233
Computational capabilities are rapidly increasing, primarily because of the availability of GPU-based architectures. This creates unprecedented simulative possibilities for the systematic and robust computation of thermodynamic observables, including...
Bridged-Ring Compounds Glycogen Synthase Kinase 3 beta Imidazoles Ligands Machine Learning Molecular Dynamics Simulation Protein Binding Thermodynamics
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Unveiling key drivers of hepatocellular carcinoma: a synergistic approach with network pharmacology, machine learning-driven ligand discovery and dynamic simulations.

SAR and QSAR in environmental research 39750056
Hepatocellular carcinoma (HCC) ranks fourth in cancer-related mortality worldwide. This study aims to uncover the genes and pathways involved in HCC through network pharmacology (NP) and to discover potential drugs via machine learning (ML)-based lig...
Carcinoma, Hepatocellular Drug Discovery Glycogen Synthase Kinase 3 beta Humans Ligands Liver Neoplasms Machine Learning Molecular Docking Simulation Molecular Dynamics Simulation Network Pharmacology Proto-Oncogene Proteins c-akt Quantitative Structure-Activity Relationship
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