Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783610522203062272 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7668741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | ChemRxiv |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT gorgullachristoph amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT padmanabhadaskrishnam amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT leighkendrae amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT cespuglimarco amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT fischerpatrickd amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT wangzifu amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT tesseyreguilhem amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT panditashreya amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT shnapiralec amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT calderaioanthony amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT gechevminko amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT rosealexander amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT lewisnoam amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT hutchesoncolin amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT yaffeerez amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT luxenburgroni amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT hercehenryd amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT durmazvedat amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT halazonetisthanosd amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT fackeldeykonstantin amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT pattenjustinj amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT chuprinaalexander amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT dziubaigor amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT plekhovaalla amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT morozyurii amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT radchenkodmytro amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT tarkhanovaolga amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT yavnyukirina amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT gruberchristian amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT yustryan amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT paynedave amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT naarandersm amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT namchukmarkn amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT daveyroberta amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT wagnergerhard amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT kinneyjamie amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT arthanariharibabu amultiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT gorgullachristoph multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT padmanabhadaskrishnam multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT leighkendrae multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT cespuglimarco multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT fischerpatrickd multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT wangzifu multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT tesseyreguilhem multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT panditashreya multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT shnapiralec multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT calderaioanthony multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT gechevminko multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT rosealexander multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT lewisnoam multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT hutchesoncolin multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT yaffeerez multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT luxenburgroni multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT hercehenryd multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT durmazvedat multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT halazonetisthanosd multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT fackeldeykonstantin multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT pattenjustinj multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT chuprinaalexander multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT dziubaigor multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT plekhovaalla multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT morozyurii multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT radchenkodmytro multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT tarkhanovaolga multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT yavnyukirina multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT gruberchristian multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT yustryan multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT paynedave multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT naarandersm multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT namchukmarkn multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT daveyroberta multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT wagnergerhard multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT kinneyjamie multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening AT arthanariharibabu multiprongedapproachtargetingsarscov2proteinsusingultralargevirtualscreening |