Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling

[Display omitted] The development of new therapeutic agents against the coronavirus causing Middle East Respiratory Syndrome (MERS) is a continuing imperative. The initial MERS-CoV epidemic was contained entirely through public health measures, but episodic cases continue, as there are currently no...

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Veröffentlicht in:Bioorganic & medicinal chemistry 2019-05, Vol.27 (10), p.1981-1989
Hauptverfasser: Lee, Hyun, Ren, Jinhong, Pesavento, Russell P., Ojeda, Isabel, Rice, Amy J., Lv, Haining, Kwon, Youngjin, Johnson, Michael E.
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container_end_page 1989
container_issue 10
container_start_page 1981
container_title Bioorganic & medicinal chemistry
container_volume 27
creator Lee, Hyun
Ren, Jinhong
Pesavento, Russell P.
Ojeda, Isabel
Rice, Amy J.
Lv, Haining
Kwon, Youngjin
Johnson, Michael E.
description [Display omitted] The development of new therapeutic agents against the coronavirus causing Middle East Respiratory Syndrome (MERS) is a continuing imperative. The initial MERS-CoV epidemic was contained entirely through public health measures, but episodic cases continue, as there are currently no therapeutic agents effective in the treatment of MERS-CoV, although multiple strategies have been proposed. In this study, we screened 30,000 compounds from three different compound libraries against one of the essential proteases, the papain-like protease (PLpro), using a fluorescence-based enzymatic assay followed by surface plasmon resonance (SPR) direct binding analysis for hit confirmation. Mode of inhibition assays and competition SPR studies revealed two compounds to be competitive inhibitors. To improve upon the inhibitory activity of the best hit compounds, a small fragment library consisting of 352 fragments was screened in the presence of each hit compound, resulting in one fragment that enhanced the IC50 value of the best hit compound by 3-fold. Molecular docking and MM/PBSA binding energy calculations were used to predict potential binding sites, providing insight for design and synthesis of next-generation compounds.
doi_str_mv 10.1016/j.bmc.2019.03.050
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The initial MERS-CoV epidemic was contained entirely through public health measures, but episodic cases continue, as there are currently no therapeutic agents effective in the treatment of MERS-CoV, although multiple strategies have been proposed. In this study, we screened 30,000 compounds from three different compound libraries against one of the essential proteases, the papain-like protease (PLpro), using a fluorescence-based enzymatic assay followed by surface plasmon resonance (SPR) direct binding analysis for hit confirmation. Mode of inhibition assays and competition SPR studies revealed two compounds to be competitive inhibitors. To improve upon the inhibitory activity of the best hit compounds, a small fragment library consisting of 352 fragments was screened in the presence of each hit compound, resulting in one fragment that enhanced the IC50 value of the best hit compound by 3-fold. 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identifier ISSN: 0968-0896
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language eng
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source MEDLINE; ScienceDirect Journals (5 years ago - present)
subjects Binding Sites
Drug Design
Electron Spin Resonance Spectroscopy
Fragment screening
High-throughput screening
High-Throughput Screening Assays
Humans
Middle East Respiratory Syndrome Coronavirus (MERS-CoV)
Middle East Respiratory Syndrome Coronavirus - enzymology
Molecular Docking Simulation
Molecular modeling
Papain-like protease
Peptide Hydrolases - chemistry
Peptide Hydrolases - metabolism
Protease Inhibitors - chemistry
Protease Inhibitors - metabolism
Protein Structure, Tertiary
Small molecule inhibitor
Small Molecule Libraries - chemistry
Small Molecule Libraries - metabolism
Structure-Activity Relationship
Viral Proteins - antagonists & inhibitors
Viral Proteins - metabolism
title Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling
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