Identification of Potential anti-dengue lead from Nilavembu through in silico study
Abstract
Dengue fever is a severe mosquito-borne global health concern caused by the Dengue virus. There are no effective vaccines or anti-virals against dengue, even though several medications are under developmental stages. As we all know, the traditional medicine system mainly depends on plants to treat various types of diseases caused by bacteria, viruses, and other micro-organisms. In this scenario, the present study focussed on identifying the inhibitory potential of phytoconstituents from a well-known antipyretic medicinal herb Andrographis paniculata (Burm.f.) Nees against MTase domain of NS5 protein from the virus and IMPDH2 from the host through Molecular docking to identify the hit compounds and further drug-likeness, pharmacokinetics, and toxicity studies were carried out to ascertain a lead candidate. Through molecular interaction results, it was identified that in the case of NS5, about 28 compounds showed the least binding energy than native ligand SAH and were recommended as hits, out of which 12 compounds interact specifically with the active site residues and were selected as top hits. In the case of IMPDH2, 13 compounds were identified as hits since they showed less binding energy than native ligand RVP, and among that, nine compounds were selected as top hits based on their interaction with the active site residues. Furthermore, the selected hit molecules were subjected to drug-likeness, pharmacokinetics, and toxicity prediction and identified Oleanolic acid as the best lead candidate against both the targets NS5 and IMPDH-II. The study further emphasizes Oleanolic acid as the best lead candidate because naturally, triterpenoid compounds possess anti-viral activity but further in vitro and in vivo studies are essential to propose Oleanolic acid as an anti-dengue compound.
Keywords:
Flavivirus, Andrographis, NS5, IMPDH-II, Phytochemicals, TriterpenoidDOI
https://doi.org/10.25004/IJPSDR.2021.130517References
Rosen L, Shroyer DA, Tesh RB, Freier JE, Lien JC. Transovarial transmission of dengue viruses by mosquitoes: Aedesalbopictus and Aedesaegypti.Am J Trop Med Hyg1983;32(5):1108-19.
Behnam MA, Nitsche C, Boldescu V, Klein CD. The medicinal chemistry of dengue virus. J Med Chem. 2016;59(12):5622-49.
Haikerwal A, Kumar S, Kant R, Saxena SK. Potential therapeutics for dengue virus infection. Ann Pharmacol Pharm. 2017;2(8):1-6.
Simon AY, Sutherland MR, Pryzdial EL. Dengue virus binding and replication by platelets. Blood. 2015;126(3):378-85.
Zhao Y, Soh TS, Zheng J, Chan KW, Phoo WW, Lee CC, Tay MY, Swaminathan K, Cornvik TC, Lim SP, Shi PY. A crystal structure of the dengue virus NS5 protein reveals a novel inter-domain interface essential for protein flexibility and virus replication. PLoSPathog. 2015;11(3):e1004682.
Galiano V, Garcia-Valtanen P, Micol V, Encinar JA. Looking for inhibitors of the dengue virus NS5 RNA-dependent RNA-polymerase using a molecular docking approach. Drug Des DevelTher. 2016;10:3163.
Nair V, Shu Q. Inosine monophosphate dehydrogenase as a probe in anti-viral drug discovery. AntivirChemChemother. 2007;18(5):245-58.
Teixeira RR, Pereira WL, Oliveira AF, Da Silva AM, De Oliveira AS, Da Silva ML, Da Silva CC, De Paula SO. Natural products as source of potential dengue antivirals. Molecules. 2014;19(6):8151-76.
Perera SD, Jayawardena UA, Jayasinghe CD. Potential use of Euphorbia hirta for dengue: A systematic review of scientific evidence. J Trop Med. 2018; (16)3:1-7.
Singh PK, Rawat P. Evolving herbal formulations in management of dengue fever. J Ayurveda IntegrMed. 2017;8(3):207-10.
Morris GM, Huey R, Lindstrom W, Sanner MF, Belew RK, Goodsell DS, Olson AJ. AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J comput chem. 2009;30(16): 2785-91.
Ropp PJ, Spiegel JO, Walker JL, Green H, Morales GA, Milliken KA, Ringe JJ, Durrant JD. Gypsum-DL: an open-source program for preparing small-molecule libraries for structure-based virtual screening. J cheminform. 2019;11(1):34.
Rappé AK, Casewit CJ, Colwell KS, Goddard III WA, Skiff WM. UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations. J Am ChemSoc.1992;114(25):10024-35.
Trott O, Olson AJ. AutoDockVina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.J comput chem. 2010;31(2):455-61.
Yang H, Lou C, Sun L, Li J, Cai Y, Wang Z, et al. admetSAR 2.0: web-service for prediction and optimization of chemical ADMET properties. Bioinformatics. 2018;35:1067-9.
Dong J, Wang NN, Yao ZJ, Zhang L, Cheng Y, Ouyang D, et al. ADMETlab: a platform for systematic ADMET evaluation based on a comprehensively collected ADMET database. J Cheminform. 2018;10:29.
Lipinski, C. A., Lombardo, F., Dominy, B. W. &Feeney, P. J. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv Drug Deliv Rev. 2001; 46(1-3): 3-26.
Veber DF, Johnson SR, Cheng HY, Smith BR, Ward KW, Kopple KD. Molecular properties that influence the oral bioavailability of drug candidates. J Med Chem. 2002;45:2615-23.
Chaturvedi UC, Dhawan R, Khanna M, Mathur A. Breakdown of the blood-brain barrier during dengue virus infection of mice. J Gen Virol.1991;72(4):859-66.
Solomon T, Dung NM, Vaughn DW, Kneen R, Raengsakulrach B, Loan HT, Day NP, Farrar J, Myint KS, Warrell MJ, James WS. Neurological manifestations of dengue infection. The Lancet. 2000;355(9209):1053-9.
Vasanthanathan P, Taboureau O, Oostenbrink C, Vermeulen NP, Olsen L, Jorgensen FS. Classification of cytochrome P450 1A2 inhibitors and noninhibitors by machine learning techniques. Drug MetabDispos. 2009;37(3):658-64.
Zhang L, McHale CM, Greene N, Snyder RD, Rich IN, Aardema MJ, Roy S, Pfuhler S, Venkatactahalam S. Emerging approaches in predictive toxicology.EnvironMol Mutagen. 2014;55(9):679-88.
Vandenberg JI, Walker BD, Campbell TJ. HERG K+ channels: friend and foe. Trends PharmacolSci. 2001;22(5):240-6.
Ayeleso TB, Matumba MG, Mukwevho E. Oleanolic acid and its derivatives: biological activities and therapeutic potential in chronic diseases. Molecules. 2017;22(11):1915.
Published

