SYNTHESIS, BIOLOGICAL EVALUATION, AND DOCKING STUDY OF NOVEL 2-PHENYL-1- BENZOPYRAN-4-ONE DERIVATIVES - AS A POTENT CYCLOOXYGENASE-2 INHIBITOR

Objective: The inflammation and oxidative stress were related together in the generation of reactive oxygen species, which is responsible for the enhancement of inflammation associated with various chronic diseases. Methods: The aim of this study is to synthezise and characterizes the flavones (2-phenyl-1-benzopyran-4-one) derivatives and analyzed by their docking hypothetical data as an effective anti-inflammatory mediator against cyclooxygenase-2 (COX-2) enzyme. Further, the evaluation of various in vitro antioxidant and anti-inflammatory studies was carried out. Results: The 10 compounds were synthesized and characterized by ultraviolet, infrared, nuclear magnetic resonance, and mass spectroscopic techniques. The docking data results of these 10 flavones derivatives against COX-2 enzymes (Protein Data Bank ID: 3LN1) showed the binding energy ranging between −5.53 kcal/mol and −7.02 kcal/mol when compared with that of the standard diclofenac (−6.34 kcal/mol). The in vitro studies suggest that the lipophilic character of the side chain donor, along with the hydroxyl substituted flavones found to have significant half maximal inhibitory concentration values. Conclusion: Based on these in silico and in vitro evaluation results, these synthesized compounds could act as a promising inhibitor to target the COX- 2 enzyme. Hence, those compounds were effective in the management of chronic diseases by exhibits free radical scavenging and anti-inflammatory property

Smart Load-Based Resource Optimization Model to Enhance the Performance of Device-to-Device Communication in 5G-WPAN

In wireless personal area networks (WPANs), devices can communicate with each other without relying on a central router or access point. They can improve performance and efficiency by allowing devices to share resources directly; however, managing resource allocation and optimizing communication between devices can be challenging. This paper proposes an intelligent load-based resource optimization model to enhance the performance of device-to-device communication in 5G-WPAN. Intelligent load-based resource optimization in device-to-device communication is a strategy used to maximize the efficiency and effectiveness of resource usage in device-to-device (D2D) communications. This optimization strategy is based on optimizing the network’s resource load by managing resource utilization and ensuring that the network is not overloaded. It is achieved by monitoring the current load on the network and then adjusting the usage of resources, such as bandwidth and power, to optimize the overall performance. This type of optimization is essential in D2D communication since it can help reduce costs and improve the system’s performance. The proposed model has achieved 86.00% network efficiency, 93.74% throughput, 91.94% reduced latency, and 92.85% scalability