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Crystal structure of SARS-CoV-2 main protease provides a basis for design of improved α-ketoamide inhibitors
Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) is a global health emergency. An attractive drug target among coronaviruses is the main protease (M pro , also called 3CL pro ) because of its essential role in processing the polyproteins that are translated from the viral RNA. We report the x-ray structures of the unliganded SARS-CoV-2 M pro and its complex with an α-ketoamide inhibitor. This was derived from a previously designed inhibitor but with the P3-P2 amide bond incorporated into a pyridone ring to enhance the half-life of the compound in plasma. On the basis of the unliganded structure, we developed the lead compound into a potent inhibitor of the SARS-CoV-2 M pro . The pharmacokinetic characterization of the optimized inhibitor reveals a pronounced lung tropism and suitability for administration by the inhalative route.
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DL is being employed to find molecules that interact with the main proteases (Mpro or 3CLpro) of the virus, disrupting the replication machinery of the virus inside the host.
“This is combined with other efforts to employ DL to find molecules that can interact with the main proteases (Mpro or 3CLpro) of the virus, resulting in the disruption of the replication machinery of the virus inside the host [67], [68].”
From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [68]
The paper’s main text (indexed under Abstract; page unavailable) identifies Mpro as 3CLpro and reports that an α-ketoamide inhibitor suppresses SARS-CoV-2 replication in infected human cells. It describes crystal-structure-guided docking and inhibitor development, but does not report using deep learning to find molecules; that central part of the attributed claim is unsupported. (LLM, conf=0.88)
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Cites
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Self-citationOverview of the CCP 4 suite and current developments
Winn, M. D., Ballard, C. C., Cowtan, K. D., Dodson, E. J., Emsley, P., Evans, P. R., Keegan, R. M., Krissinel, E. B., Leslie, A. G. W., McCoy, A., et al. (2011) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444910045749 · Cited by 12,353
A new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688
Linking Crystallographic Model and Data Quality
Karplus, P. A., & Diederichs, K. (2012) · Science · doi:10.1126/science.1218231 · Cited by 1,781
Flagged first, then by citations
Research works printed but not linked: 38
- 10.1038/s41564-020-0695-z · DOI
- 10.1126/science.1085658 · DOI
- 10.1111/febs.12936 · DOI
- 10.1021/acs.jmedchem.9b01828 · DOI
- 10.1016/j.jmb.2005.09.012 · DOI
- 10.1111/j.1742-4658.2006.05130.x · DOI
- 10.1093/emboj/cdf327 · DOI
- 10.1371/journal.pone.0101941 · DOI
- 10.1016/S0006-2952(02)01074-2 · DOI
- 10.1073/pnas.1835675100 · DOI
- 10.1074/jbc.M510745200 · DOI
- 10.1016/j.antiviral.2011.08.001 · DOI
- 10.1128/JVI.01123-12 · DOI
- 10.1016/S0968-0896(99)00005-X · DOI
- L. Zhang D. Lin R. Hilgenfeld Crystal structure of the complex resulting from the reaction between the SARS-CoV main protease and tert-butyl (1-((S)-3-cyclohexyl-1-(((S)-4-(cyclopropylamino)-3 4-dioxo-1-((S)-2-oxopyrrolidin-3-yl)butan-2-yl) amino)-1-oxopropan-2-yl)-2-oxo-1 2-dihydropyridin-3-yl)carbamate PDB ID 6Y7M (2020). doi: · DOI
- L. Zhu R. Hilgenfeld Crystal structure of SARS coronavirus main protease complexed with an alpha beta-unsaturated ethyl ester inhibitor SG85 PDB ID 3TNT (2012). 10.2210/pdb3TNT/pdb · DOI
- 10.1016/j.virol.2015.06.016 · DOI
- 10.1016/j.jmb.2006.11.073 · DOI
- 10.1107/S0909049512006395 · DOI
- 10.1107/S0021889812011715 · DOI
- 10.1107/S0907444905036693 · DOI
- 10.1107/S090744491003982X · DOI
- 10.1107/S0907444909042589 · DOI
- 10.1107/S090744491200251X · DOI
- 10.1107/S0907444910007493 · DOI · Paper page
- 10.1107/S0907444911001314 · DOI
- 10.1006/abio.1998.3014 · DOI
- P. H. Brown A. Balbo P. Schuck Characterizing protein-protein interactions by sedimentation velocity analytical ultracentrifugation. Curr. Protoc. Immunol. Chapter 18 Unit 18.15 (2008). · DOI
- 10.1016/S0006-3495(00)76713-0 · DOI
- M. T. Laue B. D. Shah T. M. Rigdeway S. L. Pelletier in Analytical Ultracentrifugation in Biochemistry and Polymer Science S. Harding A. Rowe J. Horton Eds. (Royal Society of Chemistry 1992) pp. 90–125.
- 10.1002/jcc.20084 · DOI
- 10.1016/S0040-4039(01)01416-2 · DOI
- 10.2807/1560-7917.ES.2020.25.3.2000045 · DOI
- 10.1016/j.cmpb.2010.01.007 · DOI
- 10.1074/jbc.M502556200 · DOI
- 10.1016/bs.mie.2015.05.001 · DOI
- 10.1107/S0021889897003907 · DOI
- 10.1107/S0907444909042073 · DOI · Paper page
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Owen, D. R., Allerton, C. M. N., Anderson, A. S., Aschenbrenner, L., Avery, M., Berritt, S., Boras, B., Cardin, R. D., Carlo, A., Coffman, K. J., et al. (2021) · Science · doi:10.1126/science.abl4784 · Cited by 2,033
The rise of artificial intelligence in healthcare applications
Bohr, A., & Memarzadeh, K. (2020) · Artificial Intelligence in Healthcare · doi:10.1016/b978-0-12-818438-7.00002-2 · Cited by 1,636
Ma, C., Sacco, M. D., Hurst, B., Townsend, J. A., Hu, Y., Szeto, T., Zhang, X., Tarbet, B., Marty, M. T., Chen, Y., et al. (2020) · Cell Research · doi:10.1038/s41422-020-0356-z · Cited by 880
Ortiz-Prado, E., Simbaña-Rivera, K., Gómez- Barreno, L., Rubio-Neira, M., Guaman, L. P., Kyriakidis, N. C., Muslin, C., Jaramillo, A. M. G., Barba-Ostria, C., Cevallos-Robalino, D., et al. (2020) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2020.115094 · Cited by 458
SARS-CoV-2 M pro inhibitors with antiviral activity in a transgenic mouse model
Qiao, J., Li, Y.-S., Zeng, R., Liu, F.-L., Luo, R.-H., Huang, C., Wang, Y.-F., Zhang, J., Quan, B., Shen, C., et al. (2021) · Science · doi:10.1126/science.abf1611 · Cited by 465
Drug Development and Medicinal Chemistry Efforts toward SARS‐Coronavirus and Covid‐19 Therapeutics
Ghosh, A. K., Brindisi, M., Shahabi, D., Chapman, M. E., & Mesecar, A. D. (2020) · ChemMedChem · doi:10.1002/cmdc.202000223 · Cited by 306
De novo design of potent and resilient hACE2 decoys to neutralize SARS-CoV-2
Linsky, T. W., Vergara, R., Codina, N., Nelson, J. W., Walker, M. J., Su, W., Barnes, C. O., Hsiang, T.-Y., Esser-Nobis, K., Yu, K., et al. (2020) · Science · doi:10.1126/science.abe0075 · Cited by 216
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Current Status of COVID-19 Therapies and Drug Repositioning Applications
Altay, O., Mohammadi, E., Lam, S., Turkez, H., Boren, J., Nielsen, J., Uhlen, M., & Mardinoglu, A. (2020) · iScience · doi:10.1016/j.isci.2020.101303 · Cited by 98
COVID-19: neonatal–perinatal perspectives
On behalf of the Harvard Neonatal-Perinatal Fellowship COVID-19 Working Group, Barrero-Castillero, A., Beam, K. S., Bernardini, L. B., Ramos, E. G. C., Davenport, P. E., Duncan, A. R., Fraiman, Y. S., Frazer, L. C., Healy, H., et al. (2021) · Journal of Perinatology · doi:10.1038/s41372-020-00874-x · Cited by 92
Artificial Intelligence Technologies for COVID-19 De Novo Drug Design
Floresta, G., Zagni, C., Gentile, D., Patamia, V., & Rescifina, A. (2022) · doi:10.20944/preprints202203.0032.v1 · Cited by 67
Verma, A. K., & Aggarwal, R. (2021) · Chemical Biology & Drug Design · doi:10.1111/cbdd.13812 · Cited by 54
Metadata
- Authors
- Zhang, L., Lin, D., Sun, X., Curth, U., Drosten, C., Sauerhering, L., Becker, S., Rox, K., & Hilgenfeld, R.
- Affiliations
- Institute of Biochemistry, Center for Structural and Cell Biology in Medicine, University of Lübeck, 23562 Lübeck, Germany.
- Institute for Biophysical Chemistry, Hannover Medical School, 30625 Hannover, Germany.
- Institute of Virology, Charité Universitätsmedizin Berlin, 10117 Berlin, Germany.
- Institute of Virology, University of Marburg, 35043 Marburg, Germany.
- Department of Chemical Biology, Helmholtz Center for Infection Research (HZI), 38124 Braunschweig, Germany.
- ORCID
- Venue
- Science
- Published
- 2020-04-24
- Volume
- 368
- Issue
- 6489
- Pages
- 409-412
- ISSN
- 0036-8075
- 1095-9203
- PMC
- PMC7164518
- Cited by
- 2,895
- References
- 4
- Language
- en
- Funders
- German Center for Infection Research (TTU01 / 8011801806, TTU09 / 8004709710)
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