ABSTRACT
Accumulation of urate crystals and subsequent inflammation are the major cause of pathogenesis of gout. Twopro inflammatory cytokines IL17A and IL18 are upregulated in the serum of gout patients and plays a major rolein promoting inflammation. Inhibition of these cytokines by plant phytochemicals would reduce the severity ofinflammation in gout. In the present study, in silico analysis of inhibition of IL17A and IL18 by 10 plant phytochemicalswere studied using the AutoDock 4.2 based on the principles of Lamarckian genetic algorithm. The results revealed abinding energy in the range of −6.32 kcal/mol to −3.5 kcal/mol and interacted with the amino acids in active pocketof IL17A and IL18. Among all the compounds, syringaresinol showing the least binding energy of −6.05 kcal/molwith IL17A and −6.32 kcal/mol with IL18. The control drug, allopurinol showed a binding energy of −3.32 and −3.18kcal/mol with IL17A and IL18, respectively. In addition, ADME/T properties of the compounds were also analyzed topredict their drug likeliness. This docking study can be used for developing potent inhibitors of IL17A and IL18 forthe treatment of gout.