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Yaghi RM, Andrews CL, Wylie DC, Iverson BL. High-Resolution Substrate Specificity Profiling of SARS-CoV-2 M pro; Comparison to SARS-CoV M pro. ACS Chem Biol 2024. [PMID: 38865301 DOI: 10.1021/acschembio.4c00096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
The SARS-CoV-2 Mpro protease from COVID-19 cleaves the pp1a and pp2b polyproteins at 11 sites during viral maturation and is the target of Nirmatrelvir, one of the two components of the frontline treatment sold as Paxlovid. We used the YESS 2.0 platform, combining protease and substrate expression in the yeast endoplasmic reticulum with fluorescence-activated cell sorting and next-generation sequencing, to carry out the high-resolution substrate specificity profiling of SARS-CoV-2 Mpro as well as the related SARS-CoV Mpro from SARS 2003. Even at such a high level of resolution, the substrate specificity profiles of both enzymes are essentially identical. The population of cleaved substrates isolated in our sorts is so deep, the relative catalytic efficiencies of the different cleavage sites on the SARS-CoV-2 polyproteins pp1a and pp2b are qualitatively predicted. These results not only demonstrated the precise and reproducible nature of the YESS 2.0/NGS approach to protease substrate specificity profiling but also should be useful in the design of next generation SARS-CoV-2 Mpro inhibitors, and by analogy, SARS-CoV Mpro inhibitors as well.
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Affiliation(s)
- Rasha M Yaghi
- Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States of America
| | - Collin L Andrews
- Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States of America
| | - Dennis C Wylie
- Center of Biomedical Research Support, University of Texas at Austin, Austin, Texas 78712, United States of America
| | - Brent L Iverson
- Department of Chemistry, University of Texas at Austin, Austin, Texas 78712, United States of America
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Parigger L, Krassnigg A, Grabuschnig S, Gruber K, Steinkellner G, Gruber CC. AI-assisted structural consensus-proteome prediction of human monkeypox viruses isolated within a year after the 2022 multi-country outbreak. Microbiol Spectr 2023; 11:e0231523. [PMID: 37874150 PMCID: PMC10714838 DOI: 10.1128/spectrum.02315-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/09/2023] [Indexed: 10/25/2023] Open
Abstract
IMPORTANCE The 2022 outbreak of the monkeypox virus already involves, by April 2023, 110 countries with 86,956 confirmed cases and 119 deaths. Understanding an emerging disease on a molecular level is essential to study infection processes and eventually guide drug discovery at an early stage. To support this, we provide the so far most comprehensive structural proteome of the monkeypox virus, which includes 210 structural models, each computed with three state-of-the-art structure prediction methods. Instead of building on a single-genome sequence, we generated our models from a consensus of 3,713 high-quality genome sequences sampled from patients within 1 year of the outbreak. Therefore, we present an average structural proteome of the currently isolated viruses, including mutational analyses with a special focus on drug-binding sites. Continuing dynamic mutation monitoring within the structural proteome presented here is essential to timely predict possible physiological changes in the evolving virus.
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Affiliation(s)
- Lena Parigger
- Innophore, Graz, Austria
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
| | | | | | - Karl Gruber
- Innophore, Graz, Austria
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
- Austrian Centre of Industrial Biotechnology, Graz, Austria
- Field of Excellence BioHealth, University of Graz, Graz, Austria
| | - Georg Steinkellner
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
- Field of Excellence BioHealth, University of Graz, Graz, Austria
- Innophore, San Francisco, California, USA
| | - Christian C. Gruber
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
- Austrian Centre of Industrial Biotechnology, Graz, Austria
- Field of Excellence BioHealth, University of Graz, Graz, Austria
- Innophore, San Francisco, California, USA
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Hetmann M, Langner C, Durmaz V, Cespugli M, Köchl K, Krassnigg A, Blaschitz K, Groiss S, Loibner M, Ruau D, Zatloukal K, Gruber K, Steinkellner G, Gruber CC. Identification and validation of fusidic acid and flufenamic acid as inhibitors of SARS-CoV-2 replication using DrugSolver CavitomiX. Sci Rep 2023; 13:11783. [PMID: 37479788 PMCID: PMC10362000 DOI: 10.1038/s41598-023-39071-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 07/19/2023] [Indexed: 07/23/2023] Open
Abstract
In this work, we present DrugSolver CavitomiX, a novel computational pipeline for drug repurposing and identifying ligands and inhibitors of target enzymes. The pipeline is based on cavity point clouds representing physico-chemical properties of the cavity induced solely by the protein. To test the pipeline's ability to identify inhibitors, we chose enzymes essential for SARS-CoV-2 replication as a test system. The active-site cavities of the viral enzymes main protease (Mpro) and papain-like protease (Plpro), as well as of the human transmembrane serine protease 2 (TMPRSS2), were selected as target cavities. Using active-site point-cloud comparisons, it was possible to identify two compounds-flufenamic acid and fusidic acid-which show strong inhibition of viral replication. The complexes from which fusidic acid and flufenamic acid were derived would not have been identified using classical sequence- and structure-based methods as they show very little structural (TM-score: 0.1 and 0.09, respectively) and very low sequence (~ 5%) identity to Mpro and TMPRSS2, respectively. Furthermore, a cavity-based off-target screening was performed using acetylcholinesterase (AChE) as an example. Using cavity comparisons, the human carboxylesterase was successfully identified, which is a described off-target for AChE inhibitors.
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Affiliation(s)
- M Hetmann
- Innophore, San Francisco, CA, USA
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
- Austrian Centre of Industrial Biotechnology, Graz, Austria
| | - C Langner
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - V Durmaz
- Innophore, San Francisco, CA, USA
| | | | - K Köchl
- Innophore, San Francisco, CA, USA
| | | | | | - S Groiss
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - M Loibner
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - D Ruau
- NVIDIA, Santa Clara, CA, USA
| | - K Zatloukal
- Diagnostic and Research Institute of Pathology, Medical University of Graz, Graz, Austria
| | - K Gruber
- Innophore, San Francisco, CA, USA
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
- Austrian Centre of Industrial Biotechnology, Graz, Austria
- Field of Excellence BioHealth - University of Graz, Graz, Austria
| | - G Steinkellner
- Innophore, San Francisco, CA, USA
- Institute of Molecular Biosciences, University of Graz, Graz, Austria
- Field of Excellence BioHealth - University of Graz, Graz, Austria
| | - C C Gruber
- Innophore, San Francisco, CA, USA.
- Institute of Molecular Biosciences, University of Graz, Graz, Austria.
- Austrian Centre of Industrial Biotechnology, Graz, Austria.
- Field of Excellence BioHealth - University of Graz, Graz, Austria.
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Hassan AHE, El-Sayed SM, Yamamoto M, Gohda J, Matsumoto T, Shirouzu M, Inoue JI, Kawaguchi Y, Mansour RMA, Anvari A, Farahat AA. In Silico and In Vitro Evaluation of Some Amidine Derivatives as Hit Compounds towards Development of Inhibitors against Coronavirus Diseases. Viruses 2023; 15:1171. [PMID: 37243257 PMCID: PMC10223987 DOI: 10.3390/v15051171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/04/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
Coronaviruses, including SARS-CoV-2, SARS-CoV, MERS-CoV and influenza A virus, require the host proteases to mediate viral entry into cells. Rather than targeting the continuously mutating viral proteins, targeting the conserved host-based entry mechanism could offer advantages. Nafamostat and camostat were discovered as covalent inhibitors of TMPRSS2 protease involved in viral entry. To circumvent their limitations, a reversible inhibitor might be required. Considering nafamostat structure and using pentamidine as a starting point, a small set of structurally diverse rigid analogues were designed and evaluated in silico to guide selection of compounds to be prepared for biological evaluation. Based on the results of in silico study, six compounds were prepared and evaluated in vitro. At the enzyme level, compounds 10-12 triggered potential TMPRSS2 inhibition with low micromolar IC50 concentrations, but they were less effective in cellular assays. Meanwhile, compound 14 did not trigger potential TMPRSS2 inhibition at the enzyme level, but it showed potential cellular activity regarding inhibition of membrane fusion with a low micromolar IC50 value of 10.87 µM, suggesting its action could be mediated by another molecular target. Furthermore, in vitro evaluation showed that compound 14 inhibited pseudovirus entry as well as thrombin and factor Xa. Together, this study presents compound 14 as a hit compound that might serve as a starting point for developing potential viral entry inhibitors with possible application against coronaviruses.
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Affiliation(s)
- Ahmed H E Hassan
- Department of Medicinal Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | - Selwan M El-Sayed
- Department of Medicinal Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | - Mizuki Yamamoto
- Research Center for Asian Infectious Diseases, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Jin Gohda
- Research Center for Asian Infectious Diseases, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Takehisa Matsumoto
- Drug Discovery Structural Biology Platform Unit, RIKEN Center for Biosystems Dynamics Research, Kanagawa 230-0045, Japan
| | - Mikako Shirouzu
- Drug Discovery Structural Biology Platform Unit, RIKEN Center for Biosystems Dynamics Research, Kanagawa 230-0045, Japan
| | - Jun-Ichiro Inoue
- Infection and Advanced Research Center (UTOPIA), The University of Tokyo Pandemic Preparedness, Tokyo 108-8639, Japan
| | - Yasushi Kawaguchi
- Research Center for Asian Infectious Diseases, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
- Division of Molecular Virology, Department of Microbiology and Immunology, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Reem M A Mansour
- Department of Medicinal Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
| | - Abtin Anvari
- Master of Pharmaceutical Sciences Program, California Northstate University, 9700 W Taron Dr., Elk Grove, CA 95757, USA
| | - Abdelbasset A Farahat
- Master of Pharmaceutical Sciences Program, California Northstate University, 9700 W Taron Dr., Elk Grove, CA 95757, USA
- Department of Pharmaceutical Organic Chemistry, Faculty of Pharmacy, Mansoura University, Mansoura 35516, Egypt
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