A significant cyclic sesquiterpenoid known as Zerumbone was extracted from Zingiber roseum using the volume liquid chromatographic (VLC) technique. It’s a naturally occurring phytochemical having a variety of physiological properties, including antioxidant, anti-ulcer, and antiproliferative action. This study's major goal was to evaluate Zerumbone's anti-inflammatory effectiveness against the inflammation receptors-Secretory Phospholipase A2 (sPLA2), Cyclooxygenase-2 (COX-2), Tumor Necrosis Factor (TNF-alpha), and Inducible Nitric Oxide Synthase 4 using various in-silico methods. The targeted receptors were obtained from Protein Data Bank, and the ligand was accessed in the Pubchem database. Utilizing the Autodock PyRx platform, which supports Autodock Vina, molecular docking was carried out. Even in the computational prediction, it was revealed that this substance was non-toxic. Receptors exhibiting the highest binding affinity for our ligand were further investigated using molecular dynamics (MD) simulations with WebGRO, CABS-flex, and iMODS web servers. The molecular docking outcomes showed that our ligand molecule exhibited the highest binding affinity for the sPLA2 receptor. MD simulation studies also showed good leads to sPLA2. In conclusion, our outcomes suggest that Zerumbone is an important inhibitor of sPLA2 and might be further utilized as a potential anti-inflammatory agent. Keywords: Zerumbone, Inflammation, Docking, QSAR, ADMET, MD Simulation References Harvey, A., Strategies for discovering drugs from previously unexplored natural products. Drug discovery today, 2000. 5(7): p. 294-300. Bakhotmah, B.A. and H.A. Alzahrani, Self-reported use of complementary and alternative medicine (CAM) products in topical treatment of diabetic foot disorders by diabetic patients in Jeddah, Western Saudi Arabia. BMC Research Notes, 2010. 3(1): p. 1-8. Yadav, R. and M. Agarwala, Phytochemical analysis of some medicinal plants. Journal of phytology, 2011. 3(12). Arunkumar, S. and M. Muthuselvam, Analysis of phytochemical constituents and antimicrobial activities of Aloe vera L. against clinical pathogens. World journal of agricultural sciences, 2009. 5(5): p. 572-576. Dewick, P., Tumor inhibition from plants. Tease and Evans, 1996: p. 210-214. Phillipson, J.D., et al., Plants with antiprotozoal activity. Trease and Evans’ Pharmacognosy, 1996. Bellik, Y., et al., Phytochemicals to prevent inflammation and allergy. Recent Patents on Inflammation & Allergy Drug Discovery, 2012. 6(2): p. 147-158. Hotamisligil, G.S., Inflammation and metabolic disorders. Nature, 2006. 444(7121): p. 860-867. Chen, H., et al., Discovery of a novel pyrazole series of group X secreted phospholipase A2 inhibitor (sPLA2X) via fragment based virtual screening. Bioorganic & Medicinal Chemistry Letters, 2014. 24(22): p. 5251-5255. Sengupta, S., et al., In-Silico Modelling of 1-3-[3-(Substituted Phenyl) Prop-2-Enoyl) Phenyl Thiourea Against Anti-Inflammatory Drug Targets. Biosciences Biotechnology Research Asia, 2021. 18(2): p. 413. Boyanovsky, B.B. and N.R. Webb, Biology of Secretory Phospholipase A2. Cardiovascular Drugs and Therapy, 2008. 23(1). Triggiani, M., et al., Secretory phospholipases A2 in inflammatory and allergic diseases: not just enzymes. Journal of Allergy and Clinical Immunology, 2005. 116(5): p. 1000-1006. Dennis, E.A. and P.C. Norris, Eicosanoid storm in infection and inflammation. Nature Reviews Immunology, 2015. 15(8): p. 511-523. Sanak, M., Eicosanoid mediators in the airway inflammation of asthmatic patients: what is new? Allergy, asthma & immunology research, 2016. 8(6): p. 481-490. Simmons, D.L., R.M. Botting, and T. Hla, Cyclooxygenase isozymes: the biology of prostaglandin synthesis and inhibition. Pharmacological reviews, 2004. 56(3): p. 387-437. Bindra, J., Prostaglandin synthesis. 2012: Elsevier. Williams, T. and J. Morley, Prostaglandins as potentiators of increased vascular permeability in inflammation. Nature, 1973. 246(5430): p. 215-217. Yao, C. and S. Narumiya, Prostaglandin‐cytokine crosstalk in chronic inflammation. British journal of pharmacology, 2019. 176(3): p. 337-354. Gunalan, G., et al., Anti-inflammatory activities of phytochemicals from Bauhinia variegata Linn. leaf: An in silico approach. J. chem. pharm, 2014. 6(9): p. 334-48. Gunalan, G., C. Romeo, and P. Sumathi, Docking Studies of Pyrazole Derivative as Anti-Inflammatory Drug With Cyclooxgenase-2. IJBST, 2011. 4(12): p. 82-86. Fu, J.-Y., et al., The induction and suppression of prostaglandin H2 synthase (cyclooxygenase) in human monocytes. Journal of Biological Chemistry, 1990. 265(28): p. 16737-16740. Crofford, L.J., et al., Cyclooxygenase-1 and-2 expression in rheumatoid synovial tissues. Effects of interleukin-1 beta, phorbol ester, and corticosteroids. The Journal of clinical investigation, 1994. 93(3): p. 1095-1101. Chu, W.-M., Tumor necrosis factor. Cancer Letters, 2013. 328(2): p. 222-225. Fischer, R. and O. Maier, Interrelation of oxidative stress and inflammation in neurodegenerative disease: role of TNF. Oxidative medicine and cellular longevity, 2015. 2015. Annibaldi, A. and P. Meier, Checkpoints in TNF-induced cell death: implications in inflammation and cancer. Trends in molecular medicine, 2018. 24(1): p. 49-65. Knowles, R.G. and S. Moncada, Nitric oxide synthases in mammals. Biochemical Journal, 1994. 298(Pt 2): p. 249. Jayashankar, B., et al., Supercritical extract of Seabuckthorn leaves (SCE200ET) inhibited endotoxemia by reducing inflammatory cytokines and nitric oxide synthase 2 expression. International Immunopharmacology, 2014. 20(1): p. 89-94. Korhonen, R., et al., Nitric oxide production and signaling in inflammation. Current Drug Targets-Inflammation & Allergy, 2005. 4(4): p. 471-479. Kröncke, K., K. Fehsel, and V. Kolb-Bachofen, Inducible nitric oxide synthase in human diseases. Clinical & experimental immunology, 1998. 113(2): p. 147-156. Cragg, G.M., D.J. Newman, and K.M. Snader, Natural products in drug discovery and development. Journal of natural products, 1997. 60(1): p. 52-60. Kim, Y.S., et al., Bioactive Food Components, Inflammatory Targets, and Cancer PreventionDiet, Inflammation, and Cancer Prevention. Cancer prevention research, 2009. 2(3): p. 200-208. Gautam, R. and S.M. Jachak, Recent developments in anti‐inflammatory natural products. Medicinal research reviews, 2009. 29(5): p. 767-820. Calixto, J.B., M.F. Otuki, and A.R. Santos, Anti-inflammatory compounds of plant origin. Part I. Action on arachidonic acid pathway, nitric oxide and nuclear factor κ B (NF-κB). Planta medica, 2003. 69(11): p. 973-983. Al-Amin, M., et al., Antimicrobial activity of the crude extract, fractions and isolation of zerumbone from the rhizomes of Zingiber roseum. Journal of Research in Pharmacy, 2019. 23(3): p. 559-566. Kalantari, K., et al., A Review of the Biomedical Applications of Zerumbone and the Techniques for Its Extraction from Ginger Rhizomes. Molecules, 2017. 22(10): p. 1645. Al-Amin, M., G.N.N. Sultana, and C.F. Hossain, Antiulcer principle from Zingiber montanum. Journal of Ethnopharmacology, 2012. 141(1): p. 57-60. Sulaiman, M., et al., Preliminary analysis of the antinociceptive activity of zerumbone. Fitoterapia, 2009. 80(4): p. 230-232. Sulaiman, M., et al., Anti-inflammatory effect of zerumbone on acute and chronic inflammation models in mice. Fitoterapia, 2010. 81(7): p. 855-858. Sulaiman, M.R., et al., Anti-inflammatory effect of zerumbone on acute and chronic inflammation models in mice. Fitoterapia, 2010. 81(7): p. 855-858. Somchit, M., et al., Zerumbone isolated from Zingiber zerumbet inhibits inflammation and pain in rats. Journal of Medicinal Plants Research, 2012. 6(2): p. 177-180. Goel, R.K., et al., PASS-assisted exploration of new therapeutic potential of natural products. Medicinal Chemistry Research, 2011. 20(9): p. 1509-1514. Khurana, N., et al., PASS assisted prediction and pharmacological evaluation of novel nicotinic analogs for nootropic activity in mice. European journal of pharmacology, 2011. 662(1-3): p. 22-30. Mittal, M., et al., PASS-assisted exploration of antidepressant activity of 1, 3, 4-trisubstituted-β-lactam derivatives. Bioorganic & medicinal chemistry letters, 2008. 18(20): p. 5347-5349. Amanat, M., et al., Zingiber roseum Rosc. rhizome: A rich source of hepatoprotective polyphenols. Biomedicine & Pharmacotherapy, 2021. 139: p. 111673. Yang, Z., et al., UCSF Chimera, MODELLER, and IMP: an integrated modeling system. Journal of structural biology, 2012. 179(3): p. 269-278. Berman, H.M., et al., The Protein Data Bank archive as an open data resource. Journal of computer-aided molecular design, 2014. 28(10): p. 1009-1014. Kalimuthu, A.K., et al., Pharmacoinformatics-based investigation of bioactive compounds of Rasam (South Indian recipe) against human cancer. Scientific Reports, 2021. 11(1). Dey, D., et al., Molecular optimization, docking, and dynamic simulation profiling of selective aromatic phytochemical ligands in blocking the SARS-CoV-2 S protein attachment to ACE2 receptor: an in silico approach of targeted drug designing. Journal of Advanced Veterinary and Animal Research, 2021. 8(1): p. 1. simulation, W.f.m. Simlab. 21.06.2022]; Available from: https://simlab.uams.edu/. Kuriata, A., et al., CABS-flex 2.0: a web server for fast simulations of flexibility of protein structures. Nucleic acids research, 2018. 46(W1): p. W338-W343. Schüttelkopf, A.W. and D.M. Van Aalten, PRODRG: a tool for high-throughput crystallography of protein–ligand complexes. Acta Crystallographica Section D: Biological Crystallography, 2004. 60(8): p. 1355-1363. Berendsen, H., J. Grigera, and T. Straatsma, The missing term in effective pair potentials. Journal of Physical Chemistry, 1987. 91(24): p. 6269-6271. Jamroz, M., A. Kolinski, and S. Kmiecik, CABS-flex predictions of protein flexibility compared with NMR ensembles. Bioinformatics, 2014. 30(15): p. 2150-2154. pkCSM. Pharmacokinetic properties 20.06.2022]; Available from: http://biosig.unimelb.edu.au/pkcsm/prediction. Organic Chemistry Portal. Molecular Property Explorer. 21.06.2022]; Available from: https://www.organic-chemistry.org/prog/. Swiss Institute of Bio-informatics. SwissADME. 20.06.2022]; Available from: http://www.swissadme.ch/index.php. Wang, Y., et al., In silico prediction of human intravenous pharmacokinetic parameters with improved accuracy. Journal of chemical information and modeling, 2019. 59(9): p. 3968-3980. Islam, M.A. and T.S. Pillay, Identification of promising anti-DNA gyrase antibacterial compounds using de novo design, molecular docking and molecular dynamics studies. Journal of Biomolecular Structure and Dynamics, 2020. 38(6): p. 1798-1809. Daina, A., O. Michielin, and V. Zoete, SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules. Scientific reports, 2017. 7(1): p. 1-13. Lindorff‐Larsen, K., et al., Improved side‐chain torsion potentials for the Amber ff99SB protein force field. Proteins: Structure, Function, and Bioinformatics, 2010. 78(8): p. 1950-1958. Abraham, M.J., et al., GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX, 2015. 1: p. 19-25. Kumar, D., et al., Promising inhibitors of main protease of novel corona virus to prevent the spread of COVID-19 using docking and molecular dynamics simulation. Journal of Biomolecular Structure and Dynamics, 2020. 39(13): p. 4671-4685. Tumskiy, R.S. and A.V. Tumskaia, Multistep rational molecular design and combined docking for discovery of novel classes of inhibitors of SARS-CoV-2 main protease 3CLpro. Chemical Physics Letters, 2021. 780: p. 138894. Rahman, M.M., et al., Virtual screening, molecular dynamics and structure–activity relationship studies to identify potent approved drugs for Covid-19 treatment. Journal of Biomolecular Structure and Dynamics, 2021. 39(16): p. 6231-6241. Kumar, B., et al., In silico screening of therapeutic potentials from Strychnos nux-vomica against the dimeric main protease (Mpro) structure of SARS-CoV-2. Journal of Biomolecular Structure and Dynamics, 2021: p. 1-19. Gupta, S., et al., Identification of potential natural inhibitors of SARS-CoV2 main protease by molecular docking and simulation studies. Journal of Biomolecular Structure and Dynamics, 2021. 39(12): p. 4334-4345. Oprea, T.I. and H. Matter, Integrating virtual screening in lead discovery. Current opinion in chemical biology, 2004. 8(4): p. 349-358.