Systematic analysis of Quercetin and its derivatives with Special Reference to anti-inflammatory property-Based on Network Pharmacology

Abstract

The clinical success of phyto-chemicals and computationally assisted drug discovery-derived agents has stimulated the development of novel compounds for human illnesses. In the field of anticancer drug discovery, rational investigation has sped up the process. Quercetin and its derivatives have a long history of anti-inflammatory efficacy in pomegranate and other natural products, according to scientific evidence. Small structural alterations, for example, can drastically affect cell death behaviour and trigger inflammation, making it difficult to unravel the structure-activity relationship. As a result, our objective is to use a rational drug discovery approach to develop a mechanistic approach for quercetin and its derivatives, which will be compared to market anti-inflammatory medications utilising in-silico tools. Using the software Cytoscape, we created pharmacology networks of inflammatory proteins based on data acquired from several databases. The networks show how bioactives interact with molecular targets and how they relate to illnesses, particularly inflammation. Quercetin's network pharmacology study has shown novel connections between bioactive targets and possible inflammatory aetiology applications. The future prospect is to understand these chemicals in vitro and in vivo.