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

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...

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Detalles Bibliográficos
Autores principales: Lee, Hyun, Ren, Jinhong, Pesavento, Russell P., Ojeda, Isabel, Rice, Amy J., Lv, Haining, Kwon, Youngjin, Johnson, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6638567/
https://www.ncbi.nlm.nih.gov/pubmed/30940566
http://dx.doi.org/10.1016/j.bmc.2019.03.050
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author Lee, Hyun
Ren, Jinhong
Pesavento, Russell P.
Ojeda, Isabel
Rice, Amy J.
Lv, Haining
Kwon, Youngjin
Johnson, Michael E.
author_facet Lee, Hyun
Ren, Jinhong
Pesavento, Russell P.
Ojeda, Isabel
Rice, Amy J.
Lv, Haining
Kwon, Youngjin
Johnson, Michael E.
author_sort Lee, Hyun
collection PubMed
description 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 (PL(pro)), 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 IC(50) 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.
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spelling pubmed-66385672020-04-08 Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling Lee, Hyun Ren, Jinhong Pesavento, Russell P. Ojeda, Isabel Rice, Amy J. Lv, Haining Kwon, Youngjin Johnson, Michael E. Bioorg Med Chem Article 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 (PL(pro)), 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 IC(50) 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. Elsevier Science 2019-05-15 2019-03-26 /pmc/articles/PMC6638567/ /pubmed/30940566 http://dx.doi.org/10.1016/j.bmc.2019.03.050 Text en Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Lee, Hyun
Ren, Jinhong
Pesavento, Russell P.
Ojeda, Isabel
Rice, Amy J.
Lv, Haining
Kwon, Youngjin
Johnson, Michael E.
Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling
title Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling
title_full Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling
title_fullStr Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling
title_full_unstemmed Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling
title_short Identification and design of novel small molecule inhibitors against MERS-CoV papain-like protease via high-throughput screening and molecular modeling
title_sort identification and design of novel small molecule inhibitors against mers-cov papain-like protease via high-throughput screening and molecular modeling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6638567/
https://www.ncbi.nlm.nih.gov/pubmed/30940566
http://dx.doi.org/10.1016/j.bmc.2019.03.050
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