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A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), previously known as 2019 novel coronavirus (2019-nCoV), has spread rapidly across the globe, creating an unparalleled global health burden and spurring a deepening economic crisis. As of July 7th, 2020, almost seven months into the outbre...

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Autores principales: Gorgulla, Christoph, Padmanabha Das, Krishna M., Leigh, Kendra E., Cespugli, Marco, Fischer, Patrick D., Wang, Zi-Fu, Tesseyre, Guilhem, Pandita, Shreya, Shnapir, Alec, Calderaio, Anthony, Gechev, Minko, Rose, Alexander, Lewis, Noam, Hutcheson, Colin, Yaffe, Erez, Luxenburg, Roni, Herce, Henry D., Durmaz, Vedat, Halazonetis, Thanos D., Fackeldey, Konstantin, Patten, Justin J., Chuprina, Alexander, Dziuba, Igor, Plekhova, Alla, Moroz, Yurii, Radchenko, Dmytro, Tarkhanova, Olga, Yavnyuk, Irina, Gruber, Christian, Yust, Ryan, Payne, Dave, Näär, Anders M., Namchuk, Mark N., Davey, Robert A., Wagner, Gerhard, Kinney, Jamie, Arthanari, Haribabu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: ChemRxiv 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668741/
https://www.ncbi.nlm.nih.gov/pubmed/33200116
http://dx.doi.org/10.26434/chemrxiv.12682316
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author Gorgulla, Christoph
Padmanabha Das, Krishna M.
Leigh, Kendra E.
Cespugli, Marco
Fischer, Patrick D.
Wang, Zi-Fu
Tesseyre, Guilhem
Pandita, Shreya
Shnapir, Alec
Calderaio, Anthony
Gechev, Minko
Rose, Alexander
Lewis, Noam
Hutcheson, Colin
Yaffe, Erez
Luxenburg, Roni
Herce, Henry D.
Durmaz, Vedat
Halazonetis, Thanos D.
Fackeldey, Konstantin
Patten, Justin J.
Chuprina, Alexander
Dziuba, Igor
Plekhova, Alla
Moroz, Yurii
Radchenko, Dmytro
Tarkhanova, Olga
Yavnyuk, Irina
Gruber, Christian
Yust, Ryan
Payne, Dave
Näär, Anders M.
Namchuk, Mark N.
Davey, Robert A.
Wagner, Gerhard
Kinney, Jamie
Arthanari, Haribabu
author_facet Gorgulla, Christoph
Padmanabha Das, Krishna M.
Leigh, Kendra E.
Cespugli, Marco
Fischer, Patrick D.
Wang, Zi-Fu
Tesseyre, Guilhem
Pandita, Shreya
Shnapir, Alec
Calderaio, Anthony
Gechev, Minko
Rose, Alexander
Lewis, Noam
Hutcheson, Colin
Yaffe, Erez
Luxenburg, Roni
Herce, Henry D.
Durmaz, Vedat
Halazonetis, Thanos D.
Fackeldey, Konstantin
Patten, Justin J.
Chuprina, Alexander
Dziuba, Igor
Plekhova, Alla
Moroz, Yurii
Radchenko, Dmytro
Tarkhanova, Olga
Yavnyuk, Irina
Gruber, Christian
Yust, Ryan
Payne, Dave
Näär, Anders M.
Namchuk, Mark N.
Davey, Robert A.
Wagner, Gerhard
Kinney, Jamie
Arthanari, Haribabu
author_sort Gorgulla, Christoph
collection PubMed
description Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), previously known as 2019 novel coronavirus (2019-nCoV), has spread rapidly across the globe, creating an unparalleled global health burden and spurring a deepening economic crisis. As of July 7th, 2020, almost seven months into the outbreak, there are no approved vaccines and few treatments available. Developing drugs that target multiple points in the viral life cycle could serve as a strategy to tackle the current as well as future coronavirus pandemics. Here we leverage the power of our recently developed in silico screening platform, VirtualFlow, to identify inhibitors that target SARS-CoV-2. VirtualFlow is able to efficiently harness the power of computing clusters and cloud-based computing platforms to carry out ultra-large scale virtual screens. In this unprecedented structure-based multi-target virtual screening campaign, we have used VirtualFlow to screen an average of ~1 billion molecules against each of 40 different target sites on 17 different potential viral and host targets in the cloud. In addition to targeting the active sites of viral enzymes, we also target critical auxiliary sites such as functionally important protein-protein interaction interfaces. This multi-target approach not only increases the likelihood of finding a potent inhibitor, but could also help identify a collection of anti-coronavirus drugs that would retain efficacy in the face of viral mutation. Drugs belonging to different regimen classes could be combined to develop possible combination therapies, and top hits that bind at highly conserved sites would be potential candidates for further development as coronavirus drugs. Here, we present the top 200 in silico hits for each target site. While in-house experimental validation of some of these compounds is currently underway, we want to make this array of potential inhibitor candidates available to researchers worldwide in consideration of the pressing need for fast-tracked drug development.
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spelling pubmed-76687412020-11-17 A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening Gorgulla, Christoph Padmanabha Das, Krishna M. Leigh, Kendra E. Cespugli, Marco Fischer, Patrick D. Wang, Zi-Fu Tesseyre, Guilhem Pandita, Shreya Shnapir, Alec Calderaio, Anthony Gechev, Minko Rose, Alexander Lewis, Noam Hutcheson, Colin Yaffe, Erez Luxenburg, Roni Herce, Henry D. Durmaz, Vedat Halazonetis, Thanos D. Fackeldey, Konstantin Patten, Justin J. Chuprina, Alexander Dziuba, Igor Plekhova, Alla Moroz, Yurii Radchenko, Dmytro Tarkhanova, Olga Yavnyuk, Irina Gruber, Christian Yust, Ryan Payne, Dave Näär, Anders M. Namchuk, Mark N. Davey, Robert A. Wagner, Gerhard Kinney, Jamie Arthanari, Haribabu ChemRxiv Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), previously known as 2019 novel coronavirus (2019-nCoV), has spread rapidly across the globe, creating an unparalleled global health burden and spurring a deepening economic crisis. As of July 7th, 2020, almost seven months into the outbreak, there are no approved vaccines and few treatments available. Developing drugs that target multiple points in the viral life cycle could serve as a strategy to tackle the current as well as future coronavirus pandemics. Here we leverage the power of our recently developed in silico screening platform, VirtualFlow, to identify inhibitors that target SARS-CoV-2. VirtualFlow is able to efficiently harness the power of computing clusters and cloud-based computing platforms to carry out ultra-large scale virtual screens. In this unprecedented structure-based multi-target virtual screening campaign, we have used VirtualFlow to screen an average of ~1 billion molecules against each of 40 different target sites on 17 different potential viral and host targets in the cloud. In addition to targeting the active sites of viral enzymes, we also target critical auxiliary sites such as functionally important protein-protein interaction interfaces. This multi-target approach not only increases the likelihood of finding a potent inhibitor, but could also help identify a collection of anti-coronavirus drugs that would retain efficacy in the face of viral mutation. Drugs belonging to different regimen classes could be combined to develop possible combination therapies, and top hits that bind at highly conserved sites would be potential candidates for further development as coronavirus drugs. Here, we present the top 200 in silico hits for each target site. While in-house experimental validation of some of these compounds is currently underway, we want to make this array of potential inhibitor candidates available to researchers worldwide in consideration of the pressing need for fast-tracked drug development. ChemRxiv 2020-07-24 /pmc/articles/PMC7668741/ /pubmed/33200116 http://dx.doi.org/10.26434/chemrxiv.12682316 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Gorgulla, Christoph
Padmanabha Das, Krishna M.
Leigh, Kendra E.
Cespugli, Marco
Fischer, Patrick D.
Wang, Zi-Fu
Tesseyre, Guilhem
Pandita, Shreya
Shnapir, Alec
Calderaio, Anthony
Gechev, Minko
Rose, Alexander
Lewis, Noam
Hutcheson, Colin
Yaffe, Erez
Luxenburg, Roni
Herce, Henry D.
Durmaz, Vedat
Halazonetis, Thanos D.
Fackeldey, Konstantin
Patten, Justin J.
Chuprina, Alexander
Dziuba, Igor
Plekhova, Alla
Moroz, Yurii
Radchenko, Dmytro
Tarkhanova, Olga
Yavnyuk, Irina
Gruber, Christian
Yust, Ryan
Payne, Dave
Näär, Anders M.
Namchuk, Mark N.
Davey, Robert A.
Wagner, Gerhard
Kinney, Jamie
Arthanari, Haribabu
A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening
title A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening
title_full A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening
title_fullStr A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening
title_full_unstemmed A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening
title_short A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening
title_sort multi-pronged approach targeting sars-cov-2 proteins using ultra-large virtual screening
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668741/
https://www.ncbi.nlm.nih.gov/pubmed/33200116
http://dx.doi.org/10.26434/chemrxiv.12682316
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