Literature DB >> 29156382

Discovery of selective dengue virus inhibitors using combination of molecular fingerprint-based virtual screening protocols, structure-based pharmacophore model development, molecular dynamics simulations and in vitro studies.

Shaher Bano Mirza1, Regina Ching Hua Lee2, Justin Jang Hann Chu2, Ramin Ekhteiari Salmas3, Thomas Mavromoustakos4, Serdar Durdagi3.   

Abstract

Dengue virus is a major issue of tropical and sub-tropical regions. The proliferation of virus results in immense number of deaths each year because of unavailability of on-shelf drugs. This issue necessitates the design of novel anti-Dengue drugs. The protease enzyme pathway is the critical target for drug design due to its significance in the replication, survival and other cellular activities of Dengue virus. Keeping in mind the worsening situation regarding Dengue virus, approximately eighteen million drug-like compounds from the ZINC small molecule database have been screened against Nonstructural Protein 3 (NS3) previously by our group. In this study, in order to investigate the effect of extended time of molecular dynamics (MD) simulations on structural and dynamical profiles of used complexes, simulation run time is increased from 50-ns to 100-ns for the each system. In addition, a well-known Dengue virus inhibitor (MB21) from literature is used as reference structure (positive control) to compare the proposed molecules. Post-processing MD analyses including Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) calculations were conducted to predict binding free energies of inhibitors from derived trajectory frames of MD simulations. Identified compounds are further directed to Quantum-Polarized Ligand Docking (QPLD), molecular fingerprint-based virtual screening of another small molecule database (Otava Drug Like small molecule database), and Structure-based Pharmacophore Modeling (E-Pharmacophore). Finally, cell proliferation and cytotoxicity tests as well as pre- and post-treatment on HUH7 cells infected with DENV2 NGC strain are applied for four identified hit molecules (ZINC36681949, ZINC44921800, ZINC95518765 and ZINC39500661) to check whether these drugs inhibit DENV2 from entry and/or exit pathways. Based on cell-based Dengue quantification assays, there is no effect seen on pre-treatment of cells with these compounds indicating that the early infection processes of virus is not affected. In contrast, the post-treatment of cells with these compounds after Dengue virus infection has resulted in a significant 1 log PFU/ml reduction of the virus infectious titre.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Anti-dengue drugs; Cell proliferation; Cytotoxicity tests; DENV2 NGC strain; Dengue; Molecular dynamics

Mesh:

Substances:

Year:  2017        PMID: 29156382     DOI: 10.1016/j.jmgm.2017.10.010

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  7 in total

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Journal:  Sci Rep       Date:  2019-02-05       Impact factor: 4.379

2.  Integrating Ligand and Target-Driven Based Virtual Screening Approaches With in vitro Human Cell Line Models and Time-Resolved Fluorescence Resonance Energy Transfer Assay to Identify Novel Hit Compounds Against BCL-2.

Authors:  Gurbet Tutumlu; Berna Dogan; Timucin Avsar; Muge Didem Orhan; Seyma Calis; Serdar Durdagi
Journal:  Front Chem       Date:  2020-04-09       Impact factor: 5.221

3.  In vitro and in silico anti-dengue activity of compounds obtained from Psidium guajava through bioprospecting.

Authors:  Andrea Isabel Trujillo-Correa; Diana Carolina Quintero-Gil; Fredyc Diaz-Castillo; Winston Quiñones; Sara M Robledo; Marlen Martinez-Gutierrez
Journal:  BMC Complement Altern Med       Date:  2019-11-06       Impact factor: 3.659

4.  Discovery of Cobimetinib as a novel A-FABP inhibitor using machine learning and molecular docking-based virtual screening.

Authors:  Shilun Yang; Simeng Li; Junlei Chang
Journal:  RSC Adv       Date:  2022-05-04       Impact factor: 4.036

5.  Screening of Potential Breast Cancer Inhibitors through Molecular Docking and Molecular Dynamics Simulation.

Authors:  Sangavi Pandi; Langeswaran Kulanthaivel; Gowtham Kumar Subbaraj; Sangeetha Rajaram; Senthilkumar Subramanian
Journal:  Biomed Res Int       Date:  2022-06-28       Impact factor: 3.246

Review 6.  Role and Perspective of Molecular Simulation-Based Investigation of RNA-Ligand Interaction: From Small Molecules and Peptides to Photoswitchable RNA Binding.

Authors:  Daria V Berdnikova; Paolo Carloni; Sybille Krauß; Giulia Rossetti
Journal:  Molecules       Date:  2021-06-03       Impact factor: 4.411

7.  Lanatoside C Induces G2/M Cell Cycle Arrest and Suppresses Cancer Cell Growth by Attenuating MAPK, Wnt, JAK-STAT, and PI3K/AKT/mTOR Signaling Pathways.

Authors:  Dhanasekhar Reddy; Ranjith Kumavath; Preetam Ghosh; Debmalya Barh
Journal:  Biomolecules       Date:  2019-11-27
  7 in total

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