| iScience | |
| A multi-pronged approach targeting SARS-CoV-2 proteins using ultra-large virtual screening | |
| Marco Cespugli1  Kendra E. Leigh2  Anthony Calderaio2  Zi-Fu Wang2  Alla Plekhova2  Minko Gechev3  Krishna M. Padmanabha Das4  Irina Yavnyuk5  Robert A. Davey6  Jamie Kinney6  Mark N. Namchuk7  Anders M. Näär7  Haribabu Arthanari7  Christoph Gorgulla8  Alec Shnapir8  Igor Dziuba8  Alexander Rose8  Patrick D. Fischer8  Christian Gruber9  Dmytro Radchenko1,10  Gerhard Wagner1,11  Ryan Yust1,11  Thanos D. Halazonetis1,12  Alexander Chuprina1,12  J.J. Patten1,12  Henry D. Herce1,12  Colin Hutcheson1,12  Konstantin Fackeldey1,12  Noam Lewis1,12  Erez Yaffe1,12  Yurii Moroz1,13  Shreya Pandita1,13  Guilhem Tesseyre1,14  Vedat Durmaz1,15  Dave Payne1,16  Roni Luxenburg1,17  Olga Tarkhanova1,18  | |
| [1] Corresponding author;Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA;Department of Pharmacy, Pharmaceutical and Medicinal Chemistry, Saarland University, Saarbrücken, Saarland 66123, Germany;Department of Physics, Faculty of Arts and Sciences, Harvard University, Cambridge, MA 02138, USA;Institute of Mathematics, Technical University Berlin, Berlin 10587, Germany;Taras Shevchenko National University of Kyiv, Kyiv 01601, Ukraine;Chemspace, Kyiv 02094, Ukraine;Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Harvard University, Boston, MA 02115, USA;Department of Microbiology, Boston University Medical School, Boston University, Boston, MA 02118, USA;Department of Molecular Biology, University of Geneva, Geneva 1205, Switzerland;Enamine, Kyiv 02094, Ukraine;Google, Mountain View, CA 94043, USA;Innophore GmbH, Graz 8010, Austria;Max Planck Institute of Biophysics, Frankfurt am Main, Hessen 60438, Germany;Mol∗ Consortium, https://molstar.org, San Diego, CA 92109, USA;UkrOrgSyntez Ltd., Kyiv 01133, Ukraine;VirtualFlow Organization, https://virtual-flow.org/, Boston, MA 02115, USA;Zuse Institute Berlin (ZIB), Berlin 14195, Germany; | |
| 关键词: Drugs; High-Performance Computing in Bioinformatics; Structural Biology; Virology; | |
| DOI : | |
| 来源: DOAJ | |
【 摘 要 】
Summary: The unparalleled global effort to combat the continuing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic over the last year has resulted in promising prophylactic measures. However, a need still exists for cheap, effective therapeutics, and targeting multiple points in the viral life cycle could help tackle the current, as well as future, coronaviruses. Here, we leverage our recently developed, ultra-large-scale in silico screening platform, VirtualFlow, to search for inhibitors that target SARS-CoV-2. In this unprecedented structure-based virtual campaign, we screened roughly 1 billion molecules against each of 40 different target sites on 17 different potential viral and host targets. In addition to targeting the active sites of viral enzymes, we also targeted critical auxiliary sites such as functionally important protein-protein interactions.
【 授权许可】
Unknown