In silico approach for predicting the bioactive compound of Cyperus rotundus to inhibit NF-kB and iNOS signaling pathways

Abordagem in silico para prever o composto bioativo de Cyperus rotundus para inibir as vias de sinalização Nf-kB e iNOS

Abstract

This study aims to evaluate the anti-cancer-related inflammation activity of Cyperus rotundus bioactive compounds. The component of C. rotundus was analyzed using LC-HRMS. The drug-likeness of all compounds were analyzed using swissADME webserver. In addition, the analysis of inhibition potential of compounds against NF-κB and iNOS were carried out using molecular docking in PyRx software. This study found 1-Nitro-2-phenoxybenzene, ethyl 4-(acetylamino)-3-phenyl-2-thioxo-2,3-dihydro-1,3-thiazole-5-carboxylate, and nootkatone passed all the parameters of drug-likeness including Lipinski, ghose, veber, egan, and muege. Based on molecular docking, verbascoside A and n-Pentyl isopentyl phthalate has the lowest binding affinity against iNOS (-10 and -8.9 kcal/mol, respectively). In addition, verbascoside A and maltopentaose have binding affinity of -7.6 and -6.6 kcal/mol, respectively, for NF-κB. The anti-cancer activity of verbascoside A, maltopentaose, and n-Pentyl isopentyl phthalate, according to PASS analysis were anti-inflammatory, antineoplastic, chemopreventive, and chemoprotectant. The cytotoxic effect prediction showed that these compounds were relatively selective to kill tumor cell but not non-tumor cell. Rat toxicity analysis showed maltopentaose was non-toxic, where n-Pentyl isopentyl phthalate was only toxic (class IV) for intravenous administration. perMM analysis showed verbascoside A and n-Pentyl isopentyl phthalate can translocate and across the cell membrane.

Keywords:
anti-cancer; Cyperus rotundus; inflammation; in silico; molecular docking