S-Adenosyl-l-Homocysteine Exhibits Potential Antiviral Activity Against Dengue Virus Serotype-3 (DENV-3) in Bangladesh: A Viroinformatics-Based Approach

Dengue outbreak is one of the concerning issues in Bangladesh due to the annual outbreak with the alarming number of death and infection. However, there is no effective antiviral drug available to treat dengue-infected patients. This study evaluated and screened antiviral drug candidates against dengue virus serotype 3 (DENV-3) through viroinformatics-based analyses. Since 2017, DENV-3 has been the predominant serotype in Bangladesh. We selected 3 non-structural proteins of DENV-3, named NS3, NS4A, and NS5, as antiviral targets. Protein modeling and validation were performed with VERIFY-3D, Ramachandran plotting, MolProbity, and PROCHECK. We found 4 drug-like compounds from DRUGBANK that can interact with these non-structural proteins of DENV-3. Then, the ADMET profile of these compounds was determined by admetSAR2, and molecular docking was performed with AutoDock, SWISSDOCK, PatchDock, and FireDock. Furthermore, they were subjected to molecular dynamics (MD) simulation study using the DESMOND module of MAESTRO academic version 2021-4 (force field OPLS_2005) to determine their solution’s stability in a predefined body environment. Two drug-like compounds named Guanosine-5’-Triphosphate (DB04137) and S-adenosyl-l-homocysteine (DB01752) were found to have an effective binding with these 3 proteins (binding energy > 33.47 KJ/mole). We found NS5 protein was stable and equilibrated in a 100 ns simulation run along with a negligible (<3Å) root-mean-square fluctuation value. The root-mean-square deviation value of the S-adenosyl-l-homocysteine-NS5 complex was less than 3Å, indicating stable binding between them. The global binding energy of S-adenosyl-l-homocysteine with NS5 was −40.52 KJ/mole as ∆G. Moreover, these 2 compounds mentioned above are non-carcinogenic according to their ADMET (chemical absorption, distribution, metabolism, excretion, and toxicity) profile (in silico). These outcomes suggest the suitability of S-adenosyl-l-homocysteine as a potential drug candidate for dengue drug discovery research.

[1]  J. Kashanna,et al.  Design, synthesis and biological evaluation of novel substituted indazole–1,2,3–triazolyl–1,3,4–oxadiazoles: Antimicrobial activity evaluation and docking study , 2022, Results in Chemistry.

[2]  Mobarok Hossain,et al.  An integrated computational approach to screening of alkaloids inhibitors of TBX3 in breast cancer cell lines , 2022, Journal of biomolecular structure & dynamics.

[3]  N. Lai,et al.  Updates on Dengue Vaccine and Antiviral: Where Are We Heading? , 2021, Molecules.

[4]  S. Imran,et al.  Virtual Screening-based Identification of Potent DENV-3 RdRp Protease Inhibitors via in-house Usnic Acid Derivatives Database , 2021, Journal of Computational Biophysics and Chemistry.

[5]  Daniel J. Deredge,et al.  Current Trends and Limitations in Dengue Antiviral Research , 2021, Tropical medicine and infectious disease.

[6]  Yu Chen,et al.  Factors affecting the refractive index of amino acid-based deep eutectic solvents , 2021, Chemical Thermodynamics and Thermal Analysis.

[7]  A. Moraes,et al.  Non-structural protein 5 (NS5) as a target for antiviral development against established and emergent flaviviruses. , 2021, Current opinion in virology.

[8]  G. V. Pujar,et al.  Dengue structural proteins as antiviral drug targets: Current status in the drug discovery & development. , 2021, European journal of medicinal chemistry.

[9]  S. Rohane,et al.  Role of Autodock vina in PyRx Molecular Docking , 2021 .

[10]  A. Mazumder,et al.  Inhibitory Potential of Dietary Phytocompounds of Nigella sativa against Key Targets of Novel Coronavirus (COVID-19) , 2021 .

[11]  Abdullah M. Asiri,et al.  Structure based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein , 2021, Scientific Reports.

[12]  S. Rohane,et al.  Review on Discovery Studio: An important Tool for Molecular Docking , 2021 .

[13]  J. Vencovský,et al.  Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal study , 2021, Scientific Reports.

[14]  J. Smit,et al.  Recent advances in antiviral drug development towards dengue virus. , 2020, Current opinion in virology.

[15]  R. Kock,et al.  Possible Drivers of the 2019 Dengue Outbreak in Bangladesh: The Need for a Robust Community-Level Surveillance System , 2020, Journal of Medical Entomology.

[16]  Arafat Rahman,et al.  Identification and qualitative characterization of new therapeutic targets in Stenotrophomonas maltophilia through in silico proteome exploration. , 2020, Microbial pathogenesis.

[17]  A. Gutiérrez-Escolano,et al.  The Nuclear Pore Complex: A Target for NS3 Protease of Dengue and Zika Viruses , 2020, Viruses.

[18]  J. Koča,et al.  Atomic Charge Calculator II: web-based tool for the calculation of partial atomic charges , 2020, Nucleic Acids Res..

[19]  P. Adams,et al.  A global Ramachandran score identifies protein structures with unlikely stereochemistry , 2020, bioRxiv.

[20]  Marwan Al-Raeei,et al.  Temperature dependence of the specific volume of Lennard-Jones potential and applying in case of polymers and other materials , 2020, Polymer Bulletin.

[21]  N. Rashid,et al.  Dengue proteins with their role in pathogenesis, and strategies for developing an effective anti‐dengue treatment: A review , 2019, Journal of medical virology.

[22]  S. Halder,et al.  Comparative In Silico Molecular Docking Analysis of L-Threonine-3-Dehydrogenase, a Protein Target Against African Trypanosomiasis Using Selected Phytochemicals , 2019, Journal of Applied Biotechnology Reports.

[23]  P. Yenchitsomanus,et al.  Drug repurposing of N‐acetyl cysteine as antiviral against dengue virus infection , 2019, Antiviral research.

[24]  Gopal R Periyannan,et al.  Applicability of Instability Index for In vitro Protein Stability Prediction. , 2019, Protein and peptide letters.

[25]  Abul Khair Mohammad Shamsuzzaman,et al.  Dengue Situation in Bangladesh: An Epidemiological Shift in terms of Morbidity and Mortality , 2019, The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale.

[26]  S. Sultana,et al.  Largest dengue outbreak of the decade with high fatality may be due to reemergence of DEN-3 serotype in Dhaka, Bangladesh, necessitating immediate public health attention , 2019, New microbes and new infections.

[27]  Gabriela Bitencourt-Ferreira,et al.  Docking with SwissDock. , 2019, Methods in molecular biology.

[28]  W. F. Azevedo Docking Screens for Drug Discovery , 2019, Methods in Molecular Biology.

[29]  N. Lai,et al.  Roles and Prospects of Dengue Virus Non-structural Proteins as Antiviral Targets: An Easy Digest , 2018, The Malaysian journal of medical sciences : MJMS.

[30]  Ron O. Dror,et al.  Molecular Dynamics Simulation for All , 2018, Neuron.

[31]  S. Sultana,et al.  Circulating dengue virus serotypes in Bangladesh from 2013 to 2016 , 2018, VirusDisease.

[32]  David S. Wishart,et al.  DrugBank 5.0: a major update to the DrugBank database for 2018 , 2017, Nucleic Acids Res..

[33]  Henrik Land,et al.  YASARA: A Tool to Obtain Structural Guidance in Biocatalytic Investigations. , 2018, Methods in molecular biology.

[34]  M. Radi,et al.  Drug repurposing approaches to fight Dengue virus infection and related diseases. , 2018, Frontiers in bioscience.

[35]  S. Vasudevan,et al.  NS3 helicase from dengue virus specifically recognizes viral RNA sequence to ensure optimal replication , 2017, Nucleic acids research.

[36]  P. Yenchitsomanus,et al.  Drug repurposing of minocycline against dengue virus infection. , 2016, Biochemical and biophysical research communications.

[37]  S. Sundar,et al.  Immunoprotective responses of T helper type 1 stimulatory protein‐S‐adenosyl‐L‐homocysteine hydrolase against experimental visceral leishmaniasis , 2016, Clinical and experimental immunology.

[38]  N. Oezguen,et al.  Regulation of protein-ligand binding affinity by hydrogen bond pairing , 2016, Science Advances.

[39]  S. Borkotoky,et al.  Interaction Analysis of T7 RNA Polymerase with Heparin and Its Low Molecular Weight Derivatives – An In Silico Approach , 2016, Bioinformatics and biology insights.

[40]  Radka Svobodová Vareková,et al.  AtomicChargeCalculator: interactive web-based calculation of atomic charges in large biomolecular complexes and drug-like molecules , 2015, Journal of Cheminformatics.

[41]  V. Kandi,et al.  Effect of DNA Methylation in Various Diseases and the Probable Protective Role of Nutrition: A Mini-Review , 2015, Cureus.

[42]  P. Shi,et al.  The dengue virus NS5 protein as a target for drug discovery. , 2015, Antiviral research.

[43]  Xuping Xie,et al.  Determinants of Dengue Virus NS4A Protein Oligomerization , 2015, Journal of Virology.

[44]  Hongping Dong,et al.  Characterization of Dengue Virus NS4A and NS4B Protein Interaction , 2015, Journal of Virology.

[45]  J. Gómez-Jeria,et al.  The different modes of docking of a series of benzenesulfonamides and tetrafluorobenzenesulfonamides to the carbonic anhydrase isoform II , 2015 .

[46]  A. Oliveira,et al.  NS3 and NS5 proteins: important targets for anti-dengue drug design , 2014 .

[47]  G. Ruxton,et al.  Effective use of Pearson's product–moment correlation coefficient , 2014, Animal Behaviour.

[48]  R. Siliciano,et al.  Correction: Association of pol Diversity with Antiretroviral Treatment Outcomes among HIV-Infected African Children , 2013, PLoS ONE.

[49]  Justin Jang Hann Chu,et al.  Cellular Vimentin Regulates Construction of Dengue Virus Replication Complexes through Interaction with NS4A Protein , 2013, Journal of Virology.

[50]  Susan A. Jones,et al.  S-Adenosyl-Homocysteine Is a Weakly Bound Inhibitor for a Flaviviral Methyltransferase , 2013, PloS one.

[51]  Ning Ma,et al.  BLAST: a more efficient report with usability improvements , 2013, Nucleic Acids Res..

[52]  Jie Shen,et al.  admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties , 2012, J. Chem. Inf. Model..

[53]  Marcus D. Hanwell,et al.  Avogadro: an advanced semantic chemical editor, visualization, and analysis platform , 2012, Journal of Cheminformatics.

[54]  Chris Morley,et al.  Open Babel: An open chemical toolbox , 2011, J. Cheminformatics.

[55]  K. Morita,et al.  Antiviral activity of chondroitin sulphate E targeting dengue virus envelope protein. , 2010, Antiviral research.

[56]  Arthur J. Olson,et al.  AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading , 2009, J. Comput. Chem..

[57]  Johannes Söding,et al.  Fast and accurate automatic structure prediction with HHpred , 2009, Proteins.

[58]  Ting Xu,et al.  Towards the design of antiviral inhibitors against flaviviruses: the case for the multifunctional NS3 protein from Dengue virus as a target. , 2008, Antiviral research.

[59]  S. Vasudevan,et al.  Mutagenesis of the Dengue Virus Type 2 NS5 Methyltransferase Domain* , 2008, Journal of Biological Chemistry.

[60]  Ruth Nussinov,et al.  FireDock: a web server for fast interaction refinement in molecular docking† , 2008, Nucleic Acids Res..

[61]  Minyong Li,et al.  Homology modeling and examination of the effect of the D92E mutation on the H5N1 nonstructural protein NS1 effector domain , 2007, Journal of molecular modeling.

[62]  Jack Snoeyink,et al.  Nucleic Acids Research Advance Access published April 22, 2007 MolProbity: all-atom contacts and structure validation for proteins and nucleic acids , 2007 .

[63]  Federico D. Sacerdoti,et al.  Scalable Algorithms for Molecular Dynamics Simulations on Commodity Clusters , 2006, ACM/IEEE SC 2006 Conference (SC'06).

[64]  Ting Xu,et al.  Structure-Based Mutational Analysis of the NS3 Helicase from Dengue Virus , 2006, Journal of Virology.

[65]  Ruth Nussinov,et al.  PatchDock and SymmDock: servers for rigid and symmetric docking , 2005, Nucleic Acids Res..

[66]  Conrad C. Huang,et al.  UCSF Chimera—A visualization system for exploratory research and analysis , 2004, J. Comput. Chem..

[67]  David Baker,et al.  Protein structure prediction and analysis using the Robetta server , 2004, Nucleic Acids Res..

[68]  Manuel C. Peitsch,et al.  SWISS-MODEL: an automated protein homology-modeling server , 2003, Nucleic Acids Res..

[69]  Gert Vriend,et al.  Increasing the precision of comparative models with YASARA NOVA—a self‐parameterizing force field , 2002, Proteins.

[70]  W. Delano The PyMOL Molecular Graphics System , 2002 .

[71]  R D Appel,et al.  Protein identification and analysis tools in the ExPASy server. , 1999, Methods in molecular biology.

[72]  Chris Sander,et al.  Objectively judging the quality of a protein structure from a Ramachandran plot , 1997, Comput. Appl. Biosci..

[73]  D. Eisenberg,et al.  VERIFY3D: assessment of protein models with three-dimensional profiles. , 1997, Methods in enzymology.

[74]  J. Fernández-Piqueras,et al.  Molecular and cytological evidence of S-adenosyl-L-homocysteine as an innocuous undermethylating agent in vivo. , 1995, Cytogenetics and cell genetics.

[75]  J. Thompson,et al.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.

[76]  J. Thornton,et al.  PROCHECK: a program to check the stereochemical quality of protein structures , 1993 .