Flyer

International Journal of Drug Development and Research

  • ISSN: 0975-9344
  • Journal h-index: 49
  • Journal CiteScore: 11.20
  • Journal Impact Factor: 8.24
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
Indexed In
  • Genamics JournalSeek
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Scimago
  • Directory of Research Journal Indexing (DRJI)
  • OCLC- WorldCat
  • Publons
  • MIAR
  • University Grants Commission
  • Euro Pub
  • Google Scholar
  • J-Gate
  • SHERPA ROMEO
  • Secret Search Engine Labs
  • ResearchGate
  • International Committee of Medical Journal Editors (ICMJE)
Share This Page

- (2014) Volume 6, Issue 2

Antiviral activity of Ellagic Acid against envelope proteins from Dengue Virus through Insilico Docking

Giridharan Bupesh*, Ramalingam Senthil Raja, Krishnan Saravanamurali , Vijayan Senthil Kumar , Natrajan Saran , Mohan Kumar , Subramanian Vennila , Kaleefathulah Sheriff , Krishnasamy Kaveri* , Palani Gunasekaran*
King Institute of Preventive Medicine & Research, Guindy, Chennai-600 032.
Corresponding Author: Giridharan Bupesh, Email: bupeshgiri@gmail.com, Research Scientist ,Palani Gunasekaran & Krishnasamy , Kaveri, Email:gunzking@gmail.com, Director & Deputy Director
Date of Submission: 16-09-2013
Date of Acceptance: 29-09-2013
Conflict of Interest: NIL
Source of Support: NONE
Related article at Pubmed, Scholar Google
Visit for more related articles at International Journal of Drug Development and Research

Abstract

Arbo viral infection such as dengue, chikungunya, japanese encephalitis, west nile viruses and other flaviviruses have transmemberane envelope proteins. These proteins (glycoproteins) form spike-like projections responsible for virus attachment to target cells and acid-activated membrane fusion. Further it targets numerous serologic reactions and tests including neutralization and hemagglutination inhibition. These viruses showed wide range of antigenic cross reactions and caused by seven antigenic complexes from 30 species, huge subtypes and varieties. This protein is the chief site for most neutralizing epitopes, highly conserved with cross-reactive epitopes. In the present study, the ellagic acid (4,4,5,5,6,6-Hexahydroxydiphenic acid 2,6,2,6-dilactone) was evaluated for the antiviral activity through Insilico docking against drug target envelope proteins from dengue viruses. Ellagic acid showed good docking score with all the four glycoproteins from dengue 1-4 viruses. Among the glycoprotein receptors the glycoprotein-1 and 4 demonstrates the highest docking score with energy minimization. This highlights that the ellagic acid have potent antiviral activity against the dengue viruses.

Keywords

Ellagic acid, Glycoprotein, Flaviviruses, Dengue virus, Insilico docking

Introduction

Dengue is an acute illness caused by dengue virus (DENV) which is transmitted to humans by Aedes mosquitoes with hemorrhagic fever. DENV infection results in a spectrum of disease ranging from a mild febrile illness or dengue fever to a severe disease or dengue hemorrhagic fever/dengue shock syndrome. It causes most illness and death in the arboviral family. It has been estimated that 50-100 million dengue infections occur each year in tropical urban areas around the world with 20,000-25,000 deaths [1]. The virus possesses an icosahedral nucleocapsid core surrounded by a host-derived lipid membrane (envelope), in which the envelope E protein and membrane (M) protein are embedded. In this in-silico study, we designed an inhibitor which showed inhibitory activity towards Dengue virus and this study will be a best illustrated model for designing new leads for other flavi virus such as Japanese encephalitis virus, Murray Valley encephalitis virus, Usutu Virus and West Nile Virus. (DENV, JEV, MVEV, USUV, and WNV) envelope proteins. The binding interactions between this inhibitor and NS3 protein were studied by docking methods using Auto dock vina software. The present study targets the potent ligand that could inhibit polyprotein processing of Flavi virus such as Dengue viruses. Further to understand the interactions between the glycoprotein receptors from Dengue prototype viruses and the lead binding via computational docking methods.

Materials and Methods

Dengue Receptors

The Structure of Dengue Receptor proteins were mined from National center for Biotechnology Information. Four different receptors of dengue were screened for the Insilico analysis. The Dengue virus-1 glycoprotein structure PDB ID: 1TG8, Dengue 2 Virus Envelope Protein Crystal structure PDB ID: 1OAN, Dengue virus type 3 envelope glycoprotein structure PDB ID: 1UZG, dengue virus type 4 envelope glycoprotein structure PDB ID: 2JSF, were chosen for the Insilico antiviral study.

3-Dimension structure of Ellagic acid:

Three dimensional structure of Ellagic acid (4,4,5,5,6,6-Hexahydroxydiphenic acid 2,6,2,6- dilactone) was mined from the pubchem compound library. The structure displays the 3- Dimensional entity of Ellagic acid. The file was imported as structure data file and it was converted into protein data file using molecular file convertor.

Molecular property and bioactivity prediction by molinspiration:

The molecular properties were predicted by web based software molinspiration. It is used to predict parameter such as drug likeness, MiLogP and TPSA. MiLogP, is calculated by the methodology developed by molinspiration as a sum of fragment based contributions and correction factors. MiLog P parameter is predicts permeability across the cell membrane. Total polar surface area predicts the hydrogen bonding potential of compound. The total volume of the compounds was calculated using molinspiration. Number of rotatable bonds predicts the molecular flexibility. This interprets the absorption index and bioavailbility of drugs. The molinspiration works through knowledge based networks which can be predicted the molecular properties and structure feature with respect to profiled known drugs by virtual screening in lead optimization.

Computational Methods:

Docking calculations were carried out using Docking server. The docking parameters were set default before the docking [10,11]. In the ligand atoms the gasteiger partial, Kollman united charges were added, the rotatable bonds has to be selected and defined. Further the Essential hydrogen atoms, Non polar hydrogen bonds were merged and salvation parameters were implemented for molecular docking using auto Dock tools [9].
Docking calculations were carried out on ELLAGIC ACID with Glycoprotein receptor model. Affinity (grid) maps of xx A grid points and 0.375.A spacing were generated using the Autogrid program [9].

Results:

Resistance of antiviral drugs to flavi virus infection and other multidrug resistance viral infection may fall in the post antibiotic epoch. Screening of novel potent plant pure compounds were less in side effects and have other synergetic health ailments such as antioxidant and healing properties. In the present study the plant pure compound ellagic acid was evaluated for the antidengue viral activity using Insilico docking. The lead compound Ellagic acid was chosen as the ligand for the dengue receptor. The Ellagic acid was evaluated for the QSAR studies (Quantitative structure activity relationship and drug like lines score) using drug likeliness molecular property predictor. It was presented in the figure 1 A & B. The structure of the ellagic acid was submitted in the molinspiration tools using Jmol chemical structure drawer. The Molecular property was found as Molecular formula was found as C14H8O8, Molecular weight was 304.02, Number of Hydrogen bond 4 and polar surface area was found as 108.90A2. The Molecular volume is appeared as 288.06A3. The stereo centers were obtained as 2. The drug like lines score was found as -0.45.The Bio activity is very essential for recognizing the drug by the in vivo drug recognizing and signaling receptors shown in figure 1 B.
The bioactivity parameters such as G-Protein coupled receptor (GPCR), Ion channel modulator, Nuclear receptor and Protease inhibitor is predicted as -0.29,-0.27, 0.11 and -0.18 Where inhibitor modulation for ion channel was predicted as -0.01 shown in the figure 1 C. The docking score profiles were presented in the table 1 and the docking cycles and other parameters were used according to the Murris good self method.
The docking of ellagic acid with glycoprotein-1, 2, 3 and 4 from prototype dengue viruses were showed in figure 3. The active site of glycoprotein- 1 of dengue -1 residues involved in the docking was predicted as C7-Threonine, C8- Aspergine,C13-isoleucine shown in figure 3a. The figure 3b represents the active site residues glycoprotein in dengue virus-2 were predicted as C2-histidine, C2so-Threonine.
The figure 3C displays the activity residues of dock-3 glycoprotein residues in the dengue virus-3 were predicted as Glutamic acid, Histidine and Isoleucine and the dengue-4 Glycoprotein receptor were predicted as C12-Isoleunine, Threonine, and Histidine in figure 3d. The Docking score and energy parameters were tabulated in the table 1. The score shows 90% of receipting activity in glycoprotein dengue protype virus -1 Ellagic acid,80% docking with glycoprotein dengue protype virus -1 Ellagic acid was found, as 70% of docking activity was found with glycoprotein dengue protype virus -2 with Ellagic acid and 50% of docking activity was found with glycoprotein dengue protype virus -3 with Ellagic acid.
Docking of Ellagic acid with DENV prototypes glycoprotein receptor falls within the range of observed values for the experimentally determined structures of similar lengths. The validity of the predicted model of Glycoprotein protein was also verified. On the whole, the best confirmation was achieved through free energy binding (G bind kcal/mol) for the designed ligand. The Binding energy of four DENV glycoprotein with ellagic acid were obtained as - 5.9 kcal/mol, -6.0 kcal/mol, - 6.7 kcal/mol, -6.6 kcal/mol and -6.6 kcal/mol for respectively . The negative and low value of G bind indicates strong favorable bonds between Glycoprotein- E receptor and the novel ligand Ellagic acid. This indicates that the ligand was in its most favorable conformations. Hydrogen bonds formed in the catalytic site residues on receptor-ligand complex confirms the potent binding and perfect docking on the ligand. Thus the study portrays the best docking and good drug likeliness profiles were achieved by ellagic acid. Therefore the drug ellagic acid binds with DENV receptors and influence the three dimensional entity of receptor for significant inhibition in viral host replication.

Discussion:

Glycoprotein – E protein receptor is one of the key pathways to the flavi viral entries. Flavi virus targets this Glycoprotein-E through receptor and mediates interactions within the virus and the components of the host cell membrane involve virus adsorption. The E protein interacts with the cell membrane during fusion [2] thus it evades and establishes the infection in host. In the present study the Glycoprotein E Receptors of Dengue prototypes from 1-4 were selected as the drug targets. Compounds that interact with sites on the E protein that binds to structures on the cellular membrane affect the adsorption and fusion process that interferes with virus penetration into the cellular cytoplasm and consequently its subsequent replication [3,4]. There is no antiviral drug for treatment for any of the Flavivirus and an effective vaccine for human use is not yet available to prevent dengue. Patients of dengue viral infections needed hardly the potent antiviral agents as drugs to prevent the dengue shock syndrome. Compounds obtained from traditional medicinal plants and herbs species have been reported to have antiviral activity and a wide variety of active phytochemicals have been identified [5]. Further other bioactivities were also screened through insilico analysis, the bioactivities tools calculates the drug solubility, absorption, digestive capacity and metabolic rate at receptor level [6, 9]. Molinspiration tools were widely used to predict the molecular properties based on the combinatorial chemistry by virtual screening strategies [7,8].The Molsoft druglikeliness score of ellagic acid was predicted as -0.45 and other bioactivity parameters indicates the ellagic acid was a potent lead for the infectious diseases The phytal compound ellagic acid have good drug likeliness score than the other polyphenol compounds. Therefore the Ellagic acid was docked with Glycoprotein E Receptors of Dengue-1,2,3 and 4 through the Docking server. Among the 4 protypes glycoprotein E receptor glycoprotein 1,2 and 4 demonstrates well docking activity , this evidences that the ellagic acid had good recepting activity which posses potent antiviral activity against dengue virus.

Conclusion:

Insilico drug discovery serve a significant role in the development of novel drugs for pharmaceutical and clinical industry. It reduces the duration for finding novel lead solution to many infectious diseases. New drugs will be essential for many drug resistant viral infections in near future. Therefore the present study contemplates towards the same to find a novel drug to dengue infections. Ellagic acid was evaluated for the antidengue activity by Insilico docking through glycoprotein E receptors in dengue 1-4 prototype viruses. All the four envelope proteins were well docked with Ellagic acid and reveal the good molecular and bioactivity. Among the four glycoproteins 1uzg and 2jsf receptors demonstrates significant docking profiles and scores in the study. Finally this study concludes that the ellagic acid was a promising drug which has a significant druglikeliness for the therapeutic of dengue infection.

Acknowledgements:

The authors would like to express their deep gratitude to ICMR, (Under Grade-1 Viral Diagnostic Laboratory Network (VDL-1) Government of India for funding and King Institute of Preventive Medicine and Research, Guindy, Tamilnadu, India for providing the adequate laboratory facilities in the successful completion of this research work.

Tables at a glance

Table icon
Table 1
 

Figures at a glance

Figure 1 Figure 2 Figure 3
Figure 1 Figure 2 Figure 3
 
5525

References

  1. Gubler D.J., (2006). Dengue/dengue haemorrhagicfever: history and current status. NovartisFoundation Symposium 277.In G Bock, J Goode,New treatment strategies for dengue and otherflaviviral diseases.John Wiley, London, p: 3-16.
  2. Lindenbach B, Rice C, Knipe D, Howley P, (2007).Flaviviridae: In the viruses and their replication.Fields virology, 991-1041.
  3. Leyssen P, De Clercq E, Neyts J (2000). Perspectivefor the treatment of infections with Flaviviridae.ClinMicrobRev , 13: 67-82.
  4. PatkarCh, Kuhn R, (2006). Development of novelantivirals against flaviviruses.Novartis Foundationsymposium 277. In G Bock, J Goode, Newtreatment strategies for dengue and other flaviviraldiseases, John Wiley, London, 41-52.
  5. Jassim S, Naji M, (2003). Novel antiviral agents: amedicinal plant perspective. J ApplMicrob 95:317-412.
  6. Bohm, H. J. G, Schneider H. Kubinyi R., Mannhold,and Timmerman H,. (2003). Virtual Screening ForBioactive Molecules (Methods and Principles inMedicinal Chemistry). Wiley-VCH. 8: 9-11
  7. Li R, Chen X, Gong B, Selzer P. M, Davidson E,Kurzban G. Miller R. E, Nuzum E. O, McKerrow J. H,Fletterick R. J, Gillmor S. A, Craik C. S, Kuntz I. D,Cohen F. E, and Kenyon G. L,. (1996). Structurebaseddesign of parasitic protease inhibitors, BioorgMed Chem. 4: 1421–1427.
  8. Lyne P. D., (2002). Structure-based virtual screening:an overview. Drug Discov Today, 7:1047–1055.
  9. Jain A. N., (2004). Virtual screening in leaddiscovery and optimization.CurrOpin Drug DiscovDevel, 7: 396–403.
  10. Goodsell D.S., Morris G.M., Olson AJ., (1996).Automated docking of flexible ligands:Applications of AutoDock.J MolRecognit.PubMed Abstract Publisher Full Text OpenURL, 9:1-5.
  11. Bikadi Z, Demko L and Hazai E,. (2007). Functionaland structural characterization of a protein basedon analysis of its hydrogen bonding network byhydrogen bonding plot. Arch. Biochem. Biophys,461: 225-234.
  12. McDonald I. K., and Thornton J. M., SatisfyingHydrogen Bonding Potential in Proteins. JMB, 238:777-793. 1994