Identification of potential inhibitor(s) against phospholipase A2 using a network pharmacology-based approach

Major players in the lipid bilayer that makes up cell membranes are phospholipids. These molecules have a glycerol backbone, two acyl or alkyl groups, and several phospho-base groups attached. The metabolism of phospholipids by phospholipases and the function of their metabolic byproducts in mediating cell functions have garnered a great deal of attention over the years. In terms of safety, efficacy, and sustainability, the one-drug/one-target/one-disease method of drug discovery is currently experiencing numerous difficulties. Recently, network biology and polypharmacology methods have become more popular as methodologies for multitarget drug development and omics data integration, respectively. These two methods were combined to produce a brand-new paradigm known as network pharmacology (NP), which examines how medications affect both the interactome and the diseasome level. The traditional Indian medical system known as Ayurveda employs clever formulations with several components and bioactive chemicals; yet, the scientific basis and mechanisms are still largely unknown. Evidence-based Ayurveda can use NP techniques as a useful tool to comprehend the possible actions, indications, and mechanisms of medications. To break the drug development deadlock, this chapter addresses NP and its potential to investigate traditional medical systems. The identification of important pharmacological mechanisms of plants and herbal formulations is aided by network pharmacology and validation methodologies. These combined strategies create the groundwork for employing medicinal plants to treat complicated disorders.