Structure-based virtual screening of influenza virus RNA polymerase inhibitors from natural compounds: Molecular dynamics simulation and MM-GBSA calculation

The resistances of matrix protein 2 (M2) protein inhibitors and neuraminidase inhibitors for influenza virus have attracted much attention and there is an urgent need for new drug. The antiviral drugs that selectively act on RNA polymerase are less prone to resistance and possess fewer side effects on the patient. Therefore, there is increased interest in screening compounds that can inhibit influenza virus RNA polymerase. Three natural compounds were found by using molecular docking-based virtual screening, which could bind tightly within the polymerase acidic protein-polymerase basic protein 1 (PA-PB1) subunit of influenza virus polymerase. Firstly, their drug likeness properties were evaluated, which showed that the hepatotoxicity values of all the three compounds indicating they had less or no hepatotoxicity, and did not have the plasma protein biding (PPB) ability, the three compounds needed to be modified in some aspects, like bulky molecular size. The stability of the complexes of PA-hits was validated through molecular dynamics (MD) simulation, revealing compound 2 could form more stable complex with PA subunit. The torsional conformations of each rotatable bond of the ligands in PA subunit were also monitored, to investigate variation in the ligand properties during the simulation, compound 3 had fewer rotatable bonds, indicating that the molecule had stronger rigidity. The bar charts of protein-ligand contacts and contacts over the course of trajectory showed that four key residues (Glu623, Lys643, Asn703 and Trp706) of PA subunit that participated in hydrogen-bond, water bridge and hydrophobic interactions with the hit compounds. Finally, the binding free energy and contributed energies were calculated by using MM-GBSA method. Out of the three compounds, compound 1 showed the lowest total binding free energy. Among all the interactions, the contribution of the covalent binding and the van der Waals energy were more than other items, compound 1 formed more stable hydrogen bonds with the residues of PA subunit binding pocket. This study smoothed the path for the development of novel lead compounds with improved binding properties, high drug likeness, and low toxicity to humans for the treatment of influenza, which provided a good basis for further research on novel and effective influenza virus PA-PB1 interaction inhibitors.

[1]  Fangfei Li,et al.  Computational insight into dengue virus NS2B-NS3 protease inhibition: A combined ligand- and structure-based approach , 2018, Comput. Biol. Chem..

[2]  S. Hsu,et al.  Anti-influenza virus activity of the ethanolic extract from Peperomia sui , 2014, Journal of Ethnopharmacology.

[3]  L. Poon,et al.  Identification of influenza polymerase inhibitors targeting polymerase PB2 cap‐binding domain through virtual screening , 2017, Antiviral research.

[4]  I. D. de Esch,et al.  4,6-Diphenylpyridines as Promising Novel Anti-Influenza Agents Targeting the PA-PB1 Protein-Protein Interaction: Structure-Activity Relationships Exploration with the Aid of Molecular Modeling. , 2016, Journal of medicinal chemistry.

[5]  E. Obayashi,et al.  The structural basis for an essential subunit interaction in influenza virus RNA polymerase , 2008, Nature.

[6]  Ming Liu,et al.  The Functional Study of the N-Terminal Region of Influenza B Virus Nucleoprotein , 2015, PloS one.

[7]  P. Shaw,et al.  Structure and sequence analysis of influenza A virus nucleoprotein , 2009, Science in China Series C: Life Sciences.

[8]  Yasuo Suzuki,et al.  Sialobiology of influenza: molecular mechanism of host range variation of influenza viruses. , 2005, Biological & pharmaceutical bulletin.

[9]  A. Joachimiak,et al.  Crystal structure of the polymerase PAC–PB1N complex from an avian influenza H5N1 virus , 2008, Nature.

[10]  Huiyuan Gao,et al.  Computational investigations of gram-negative bacteria phosphopantetheine adenylyltransferase inhibitors using 3D-QSAR, molecular docking and molecular dynamic simulations , 2020, Journal of biomolecular structure & dynamics.

[11]  Jun Zhang,et al.  Identification of dual ligands targeting angiotensin II type 1 receptor and peroxisome proliferator-activated receptor-γ by core hopping of telmisartan , 2017, Journal of biomolecular structure & dynamics.

[12]  Hua Yang,et al.  New World Bats Harbor Diverse Influenza A Viruses , 2013, PLoS pathogens.

[13]  C. Tintori,et al.  The Fight against the Influenza A Virus H1N1: Synthesis, Molecular Modeling, and Biological Evaluation of Benzofurazan Derivatives as Viral RNA Polymerase Inhibitors , 2014, ChemMedChem.

[14]  Olivier Michielin,et al.  SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules , 2017, Scientific Reports.

[15]  G. Rimmelzwaan,et al.  Influenza B viruses: not to be discounted. , 2015, Future microbiology.

[16]  Nicole M. Bouvier,et al.  The biology of influenza viruses. , 2008, Vaccine.

[17]  Matthew P. Repasky,et al.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes. , 2006, Journal of medicinal chemistry.

[18]  Y. Sugita,et al.  Ultracentrifugation deforms unfixed influenza A virions. , 2011, The Journal of general virology.

[19]  Wei Yang,et al.  In silico study on β-aminoketone derivatives as thyroid hormone receptor inhibitors: a combined 3D-QSAR and molecular docking study , 2016, Journal of biomolecular structure & dynamics.

[20]  L. Goracci,et al.  Structural investigation of cycloheptathiophene-3-carboxamide derivatives targeting influenza virus polymerase assembly. , 2013, Journal of medicinal chemistry.

[21]  M. Hilleman,et al.  Realities and enigmas of human viral influenza: pathogenesis, epidemiology and control. , 2002, Vaccine.

[22]  Zhi Jing,et al.  Identification of novel PI3Kδ inhibitors by docking, ADMET prediction and molecular dynamics simulations , 2019, Comput. Biol. Chem..

[23]  G. Gao,et al.  Bat-derived influenza-like viruses H17N10 and H18N11 , 2014, Trends in Microbiology.

[24]  Ji Hoon Park,et al.  A natural component from Euphorbia humifusa Willd displays novel, broad-spectrum anti-influenza activity by blocking nuclear export of viral ribonucleoprotein. , 2016, Biochemical and biophysical research communications.

[25]  Pritish Kumar Varadwaj,et al.  Structural insights into conformational stability of both wild-type and mutant EZH2 receptor , 2016, Scientific Reports.

[26]  Sree Kanth Sivan,et al.  Molecular modeling-driven approach for identification of Janus kinase 1 inhibitors through 3D-QSAR, docking and molecular dynamics simulations , 2017, Journal of receptor and signal transduction research.

[27]  Cristina Tintori,et al.  High-throughput docking for the identification of new influenza A virus polymerase inhibitors targeting the PA-PB1 protein-protein interaction. , 2014, Bioorganic & medicinal chemistry letters.

[28]  W. Sherman,et al.  Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field. , 2010, Journal of chemical theory and computation.

[29]  Andrew A. McCarthy,et al.  The cap-snatching endonuclease of influenza virus polymerase resides in the PA subunit , 2009, Nature.

[30]  N. Cox,et al.  Surveillance of resistance to adamantanes among influenza A(H3N2) and A(H1N1) viruses isolated worldwide. , 2007, The Journal of infectious diseases.

[31]  O. Hensens,et al.  Isolation and structure of flutimide, a novel endonuclease inhibitor of influenza virus , 1995 .

[32]  M. Koopmans,et al.  Adamantane- and Oseltamivir-Resistant Seasonal A (H1N1) and Pandemic A (H1N1) 2009 Influenza Viruses in Guangdong, China, during 2008 and 2009 , 2011, Journal of Clinical Microbiology.

[33]  Yongbo Song,et al.  In silico insight into voltage-gated sodium channel 1.7 inhibition for anti-pain drug discovery. , 2018, Journal of molecular graphics & modelling.

[34]  Shuwen Liu,et al.  Anti-influenza A Virus Activity of Dendrobine and Its Mechanism of Action. , 2017, Journal of agricultural and food chemistry.

[35]  Pritish Kumar Varadwaj,et al.  Novel DOT1L ReceptorNatural Inhibitors Involved in Mixed Lineage Leukemia: a Virtual Screening, Molecular Docking and Dynamics Simulation Study. , 2015, Asian Pacific journal of cancer prevention : APJCP.

[36]  J. Tomassini,et al.  Synthesis of natural flutimide and analogous fully substituted pyrazine-2,6-diones, endonuclease inhibitors of influenza virus. , 2001, The Journal of organic chemistry.

[37]  Ying Wang,et al.  In silico exploration of aryl sulfonamide analogs as voltage-gated sodium channel 1.7 inhibitors by using 3D-QSAR, molecular docking study, and molecular dynamics simulations , 2018, Comput. Biol. Chem..