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Kudo G, Hirao T, Harada R, Hirokawa T, Shigeta Y, Yoshino R. Prediction of the binding mechanism of a selective DNA methyltransferase 3A inhibitor by molecular simulation. Sci Rep 2024; 14:13508. [PMID: 38866895 PMCID: PMC11169543 DOI: 10.1038/s41598-024-64236-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 06/06/2024] [Indexed: 06/14/2024] Open
Abstract
DNA methylation is an epigenetic mechanism that introduces a methyl group at the C5 position of cytosine. This reaction is catalyzed by DNA methyltransferases (DNMTs) and is essential for the regulation of gene transcription. The DNMT1 and DNMT3A or -3B family proteins are known targets for the inhibition of DNA hypermethylation in cancer cells. A selective non-nucleoside DNMT3A inhibitor was developed that mimics S-adenosyl-l-methionine and deoxycytidine; however, the mechanism of selectivity is unclear because the inhibitor-protein complex structure determination is absent. Therefore, we performed docking and molecular dynamics simulations to predict the structure of the complex formed by the association between DNMT3A and the selective inhibitor. Our simulations, binding free energy decomposition analysis, structural isoform comparison, and residue scanning showed that Arg688 of DNMT3A is involved in the interaction with this inhibitor, as evidenced by its significant contribution to the binding free energy. The presence of Asn1192 at the corresponding residues in DNMT1 results in a loss of affinity for the inhibitor, suggesting that the interactions mediated by Arg688 in DNMT3A are essential for selectivity. Our findings can be applied in the design of DNMT-selective inhibitors and methylation-specific drug optimization procedures.
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Affiliation(s)
- Genki Kudo
- Physics Department, Graduate School of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8571, Japan
| | - Takumi Hirao
- Doctoral Program in Medical Sciences, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Ibaraki, 305-8575, Japan
- Division of Biomedical Science, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
| | - Ryuhei Harada
- Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan
| | - Takatsugu Hirokawa
- Division of Biomedical Science, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
- Transborder Medical Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan
| | - Yasuteru Shigeta
- Physics Department, Graduate School of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8571, Japan
- Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan
| | - Ryunosuke Yoshino
- Division of Biomedical Science, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
- Transborder Medical Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
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Birgül Iyison N, Abboud C, Abboud D, Abdulrahman AO, Bondar AN, Dam J, Georgoussi Z, Giraldo J, Horvat A, Karoussiotis C, Paz-Castro A, Scarpa M, Schihada H, Scholz N, Güvenc Tuna B, Vardjan N. ERNEST COST action overview on the (patho)physiology of GPCRs and orphan GPCRs in the nervous system. Br J Pharmacol 2024. [PMID: 38825750 DOI: 10.1111/bph.16389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/09/2024] [Accepted: 02/24/2024] [Indexed: 06/04/2024] Open
Abstract
G protein-coupled receptors (GPCRs) are a large family of cell surface receptors that play a critical role in nervous system function by transmitting signals between cells and their environment. They are involved in many, if not all, nervous system processes, and their dysfunction has been linked to various neurological disorders representing important drug targets. This overview emphasises the GPCRs of the nervous system, which are the research focus of the members of ERNEST COST action (CA18133) working group 'Biological roles of signal transduction'. First, the (patho)physiological role of the nervous system GPCRs in the modulation of synapse function is discussed. We then debate the (patho)physiology and pharmacology of opioid, acetylcholine, chemokine, melatonin and adhesion GPCRs in the nervous system. Finally, we address the orphan GPCRs, their implication in the nervous system function and disease, and the challenges that need to be addressed to deorphanize them.
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Affiliation(s)
- Necla Birgül Iyison
- Department of Molecular Biology and Genetics, University of Bogazici, Istanbul, Turkey
| | - Clauda Abboud
- Laboratory of Molecular Pharmacology, GIGA-Molecular Biology of Diseases, University of Liege, Liege, Belgium
| | - Dayana Abboud
- Laboratory of Molecular Pharmacology, GIGA-Molecular Biology of Diseases, University of Liege, Liege, Belgium
| | | | - Ana-Nicoleta Bondar
- Faculty of Physics, University of Bucharest, Magurele, Romania
- Forschungszentrum Jülich, Institute for Computational Biomedicine (IAS-5/INM-9), Jülich, Germany
| | - Julie Dam
- Institut Cochin, CNRS, INSERM, Université Paris Cité, Paris, France
| | - Zafiroula Georgoussi
- Laboratory of Cellular Signalling and Molecular Pharmacology, Institute of Biosciences and Applications, National Center for Scientific Research "Demokritos", Athens, Greece
| | - Jesús Giraldo
- Laboratory of Molecular Neuropharmacology and Bioinformatics, Unitat de Bioestadística and Institut de Neurociències, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
- Unitat de Neurociència Traslacional, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT), Institut de Neurociències, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Anemari Horvat
- Laboratory of Neuroendocrinology - Molecular Cell Physiology, Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Laboratory of Cell Engineering, Celica Biomedical, Ljubljana, Slovenia
| | - Christos Karoussiotis
- Laboratory of Cellular Signalling and Molecular Pharmacology, Institute of Biosciences and Applications, National Center for Scientific Research "Demokritos", Athens, Greece
| | - Alba Paz-Castro
- Molecular Pharmacology of GPCRs research group, Center for Research in Molecular Medicine and Chronic Diseases (CiMUS), Universidade de Santiago de Compostela, Santiago, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago, Spain
| | - Miriam Scarpa
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Hannes Schihada
- Department of Pharmaceutical Chemistry, Philipps-University Marburg, Marburg, Germany
| | - Nicole Scholz
- Rudolf Schönheimer Institute of Biochemistry, Division of General Biochemistry, Medical Faculty, Leipzig University, Leipzig, Germany
| | - Bilge Güvenc Tuna
- Department of Biophysics, School of Medicine, Yeditepe University, Istanbul, Turkey
| | - Nina Vardjan
- Laboratory of Neuroendocrinology - Molecular Cell Physiology, Institute of Pathophysiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Laboratory of Cell Engineering, Celica Biomedical, Ljubljana, Slovenia
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Ganai SA, Rajamanikandan S, Shah BA, Lone A, Arwa F, Malik FA. Comparative structural study of selective and non-selective NSAIDs against the enzyme cyclooxygenase-2 through real-time molecular dynamics linked to post-dynamics MM-GBSA and e-pharmacophores mapping. J Mol Model 2023; 29:192. [PMID: 37256432 DOI: 10.1007/s00894-023-05603-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 05/23/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND Inflammation-provoked disorders including cancer are arbitrated by cyclooxygenase-2 (COX-2). Celecoxib and niflumic acid are among the potent and selective inhibitors of this enzyme while aspirin (acetylsalicylic acid) and sodium salicylate are its non-selective and lesser potent inhibitors. Despite these proven studies, the comparative structural study of these selective and non-selective molecules at atomistic scale in complex state with COX-2 that may answer this differential inhibitory behavior has not been accomplished spotlighting the imperative need of additional research in this area. Thus, this study was framed to provide a strong explanation for the enigma of higher inhibitory activity of celecoxib-niflumic acid duo in comparison to aspirin and sodium salicylate towards COX-2. METHODS A contemporary approach including advanced molecular docking against COX2, molecular dynamics of receptor-ligand complexes, simulation-trajectory-backed MMGBSA for different time points, radius of gyration (Rg) calculations, and e-pharmacophores approach was employed to attain a rational conclusion. RESULTS Our findings demonstrated the higher binding affinity of celecoxib and niflumic acid over aspirin and sodium salicylate against COX-2. Although both selective and non-selective COX-2 inhibitors manifested nearly the same stability in the active site of this enzyme but the e-pharmocophoric features found in the case of selective inhibitors scored over non-selective ones. Thus, our findings excluded the differential stability to be the cause of stronger potency of selective inhibitors but attributed their potency to greater number of complementary features present in these inhibitors against the active site of inflammation engendering COX-2.
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Affiliation(s)
- Shabir Ahmad Ganai
- Research Centre for Residue and Quality Analysis, FoH, SKUAST-Kashmir, Shalimar, Srinagar, 190025, Jammu & Kashmir, India.
| | - Sundararaj Rajamanikandan
- Department of Biochemistry, Karpagam Academy of Higher Education, Coimbatore, 641021, Tamil Nadu, India
- Centre for Drug Discovery, Karpagam Academy of Higher Education, Coimbatore, 641021, Tamil Nadu, India
| | - Basit Amin Shah
- Department of Biotechnology, University of Kashmir, Srinagar, 190006, Jammu & Kashmir, India
| | - Asif Lone
- Department of Biochemistry, Deshbandhu College, University of Delhi, 110019, New Delhi, India
| | - Faieza Arwa
- Department of Veterinary Physiology, SKUAST-J-180009, Jammu, Jammu & Kashmir, India
| | - Firdose Ahmad Malik
- College of Temperate Sericulture, SKUAST-Kashmir, Mirgund, 193121, Jammu & Kashmir, India
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Kumari R, Sharma SD, Kumar A, Ende Z, Mishina M, Wang Y, Falls Z, Samudrala R, Pohl J, Knight PR, Sambhara S. Antiviral Approaches against Influenza Virus. Clin Microbiol Rev 2023; 36:e0004022. [PMID: 36645300 PMCID: PMC10035319 DOI: 10.1128/cmr.00040-22] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Preventing and controlling influenza virus infection remains a global public health challenge, as it causes seasonal epidemics to unexpected pandemics. These infections are responsible for high morbidity, mortality, and substantial economic impact. Vaccines are the prophylaxis mainstay in the fight against influenza. However, vaccination fails to confer complete protection due to inadequate vaccination coverages, vaccine shortages, and mismatches with circulating strains. Antivirals represent an important prophylactic and therapeutic measure to reduce influenza-associated morbidity and mortality, particularly in high-risk populations. Here, we review current FDA-approved influenza antivirals with their mechanisms of action, and different viral- and host-directed influenza antiviral approaches, including immunomodulatory interventions in clinical development. Furthermore, we also illustrate the potential utility of machine learning in developing next-generation antivirals against influenza.
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Affiliation(s)
- Rashmi Kumari
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Department of Anesthesiology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, New York, USA
| | - Suresh D. Sharma
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Amrita Kumar
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Zachary Ende
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Oak Ridge Institute for Science and Education (ORISE), CDC Fellowship Program, Oak Ridge, Tennessee, USA
| | - Margarita Mishina
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Yuanyuan Wang
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
- Association of Public Health Laboratories, Silver Spring, Maryland, USA
| | - Zackary Falls
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Ram Samudrala
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Jan Pohl
- Biotechnology Core Facility Branch, Division of Scientific Resources, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Paul R. Knight
- Department of Anesthesiology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, New York, USA
| | - Suryaprakash Sambhara
- Immunology and Pathogenesis Branch, Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Khan T, Raza S. Exploration of Computational Aids for Effective Drug Designing and Management of Viral Diseases: A Comprehensive Review. Curr Top Med Chem 2023; 23:1640-1663. [PMID: 36725827 DOI: 10.2174/1568026623666230201144522] [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: 06/21/2022] [Revised: 11/14/2022] [Accepted: 12/19/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Microbial diseases, specifically originating from viruses are the major cause of human mortality all over the world. The current COVID-19 pandemic is a case in point, where the dynamics of the viral-human interactions are still not completely understood, making its treatment a case of trial and error. Scientists are struggling to devise a strategy to contain the pandemic for over a year and this brings to light the lack of understanding of how the virus grows and multiplies in the human body. METHODS This paper presents the perspective of the authors on the applicability of computational tools for deep learning and understanding of host-microbe interaction, disease progression and management, drug resistance and immune modulation through in silico methodologies which can aid in effective and selective drug development. The paper has summarized advances in the last five years. The studies published and indexed in leading databases have been included in the review. RESULTS Computational systems biology works on an interface of biology and mathematics and intends to unravel the complex mechanisms between the biological systems and the inter and intra species dynamics using computational tools, and high-throughput technologies developed on algorithms, networks and complex connections to simulate cellular biological processes. CONCLUSION Computational strategies and modelling integrate and prioritize microbial-host interactions and may predict the conditions in which the fine-tuning attenuates. These microbial-host interactions and working mechanisms are important from the aspect of effective drug designing and fine- tuning the therapeutic interventions.
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Affiliation(s)
- Tahmeena Khan
- Department of Chemistry, Integral University, Lucknow, 226026, U.P., India
| | - Saman Raza
- Department of Chemistry, Isabella Thoburn College, Lucknow, 226007, U.P., India
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Mahnam K, Ghobadi Z. Finding a prospective dual-target drug for the treatment of coronavirus disease by theoretical study. J Biomol Struct Dyn 2022; 40:12621-12641. [PMID: 34514953 DOI: 10.1080/07391102.2021.1973910] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Spike protein of coronavirus is a key protein in binding and entrance of virus to the human cell via binding to the receptor-binding domain (RBD) domain of S1 subunit to peptidase domain region of ACE2 receptor. In this study, the possible effect of 24 antiviral drugs on the RBD domain of spike protein was investigated via docking and molecular dynamics simulation for finding a dual-target drug. At first, all drugs were docked to the RBD domain of spike protein, and then all complexes and free RBD domains were separately used for molecular dynamics simulation for 50 ns via amber18 software. The simulation results showed that 10 ligands from 28 ligands were separated from the RBD domain, and among 18 remained ligands, baloxavir marboxil, and danoprevir drugs, besides endonuclease activity and protease inhibitory, can bind to key residues of the RBD domain. Then these drugs have a dual target and should be more effective than current drugs, and experimental studies should be done on baloxavir marboxil and danoprevir as more potential drugs for coronavirus disease Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Karim Mahnam
- Department of Biology, Faculty of Sciences, Shahrekord University, Shahrekord, Iran.,Nanotechnology Research Center, Shahrekord University, Shahrekord, Iran
| | - Zahra Ghobadi
- Department of Biology, Faculty of Sciences, Shahrekord University, Shahrekord, Iran
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Antiviral Effects of ABMA and DABMA against Influenza Virus In Vitro and In Vivo via Regulating the Endolysosomal Pathway and Autophagy. Int J Mol Sci 2022; 23:ijms23073940. [PMID: 35409297 PMCID: PMC8999625 DOI: 10.3390/ijms23073940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 03/27/2022] [Accepted: 03/30/2022] [Indexed: 02/04/2023] Open
Abstract
Influenza virus is an acute and highly contagious respiratory pathogen that causes great concern to public health and for which there is a need for extensive drug discovery. The small chemical compound ABMA and its analog DABMA, containing an adamantane or a dimethyl-adamantane group, respectively, have been demonstrated to inhibit multiple toxins (diphtheria toxin, Clostridium difficile toxin B, Clostridium sordellii lethal toxin) and viruses (Ebola, rabies virus, HSV-2) by acting on the host’s vesicle trafficking. Here, we showed that ABMA and DABMA have antiviral effects against both amantadine-sensitive influenza virus subtypes (H1N1 and H3N2), amantadine-resistant subtypes (H3N2), and influenza B virus with EC50 values ranging from 2.83 to 7.36 µM (ABMA) and 1.82 to 6.73 µM (DABMA), respectively. ABMA and DABMA inhibited the replication of influenza virus genomic RNA and protein synthesis by interfering with the entry stage of the virus. Molecular docking evaluation together with activity against amantadine-resistant influenza virus strains suggested that ABMA and DABMA were not acting as M2 ion channel blockers. Subsequently, we found that early internalized H1N1 virions were retained in accumulated late endosome compartments after ABMA treatment. Additionally, ABMA disrupted the early stages of the H1N1 life cycle or viral RNA synthesis by interfering with autophagy. ABMA and DABMA protected mice from an intranasal H1N1 challenge with an improved survival rate of 67%. The present study suggests that ABMA and DABMA are potential antiviral leads for the development of a host-directed treatment against influenza virus infection.
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Baltrukevich H, Podlewska S. From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output. Front Pharmacol 2022; 13:844293. [PMID: 35359865 PMCID: PMC8960308 DOI: 10.3389/fphar.2022.844293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 01/26/2022] [Indexed: 12/02/2022] Open
Abstract
An increasing number of crystal structures available on one side, and the boost of computational power available for computer-aided drug design tasks on the other, have caused that the structure-based drug design tools are intensively used in the drug development pipelines. Docking and molecular dynamics simulations, key representatives of the structure-based approaches, provide detailed information about the potential interaction of a ligand with a target receptor. However, at the same time, they require a three-dimensional structure of a protein and a relatively high amount of computational resources. Nowadays, as both docking and molecular dynamics are much more extensively used, the amount of data output from these procedures is also growing. Therefore, there are also more and more approaches that facilitate the analysis and interpretation of the results of structure-based tools. In this review, we will comprehensively summarize approaches for handling molecular dynamics simulations output. It will cover both statistical and machine-learning-based tools, as well as various forms of depiction of molecular dynamics output.
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Affiliation(s)
- Hanna Baltrukevich
- Maj Institute of Pharmacology, Polish Academy of Sciences, Kraków, Poland
- Faculty of Pharmacy, Chair of Technology and Biotechnology of Medical Remedies, Jagiellonian University Medical College in Krakow, Kraków, Poland
| | - Sabina Podlewska
- Maj Institute of Pharmacology, Polish Academy of Sciences, Kraków, Poland
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Denel-Bobrowska M, Olejniczak AB. Non-nucleoside structured compounds with antiviral activity—past 10 years (2010–2020). Eur J Med Chem 2022; 231:114136. [PMID: 35085926 PMCID: PMC8769541 DOI: 10.1016/j.ejmech.2022.114136] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 01/05/2022] [Accepted: 01/14/2022] [Indexed: 02/06/2023]
Abstract
Nucleosides and their derivatives are a well-known and well-described class of compounds with antiviral activity. Currently, in the era of the COVID-19 pandemic, scientists are also looking for compounds not related to nucleosides with antiviral properties. This review aims to provide an overview of selected synthetic antiviral agents not associated to nucleosides developed against human viruses and introduced to preclinical and clinical trials as well as drugs approved for antiviral therapy over the last 10 years. The article describes for the first time the wide classification of such antiviral drugs and drug candidates and briefly summarizes the biological target and clinical applications of the compounds. The described compounds are arranged according to the antiviral mechanism of action. Knowledge of the drug's activity toward specific molecular targets may be the key to researching new antiviral compounds and repositioning drugs already approved for clinical use. The paper also briefly discusses the future directions of antiviral therapy. The described examples of antiviral compounds can be helpful for further drug development.
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Jones JC, Pascua PNQ, Harrington WN, Webby RJ, Govorkova EA. Multiple polymerase acidic (PA) I38X substitutions in influenza A(H1N1)pdm09 virus permit polymerase activity and cause reduced baloxavir inhibition. J Antimicrob Chemother 2021; 76:957-960. [PMID: 33351916 DOI: 10.1093/jac/dkaa527] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 11/18/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Baloxavir marboxil is an antiviral drug that targets the endonuclease activity of the influenza virus polymerase acidic (PA) protein. PA I38T/M/F substitutions reduce its antiviral efficacy. OBJECTIVES To understand the effects of the 19 possible amino acid (AA) substitutions at PA 38 on influenza A(H1N1)pdm09 polymerase activity and inhibition by baloxavir acid, the active metabolite of baloxavir marboxil. METHODS Influenza A(H1N1)pdm09 viral polymerase complexes containing all 19 I38X AA substitutions were reconstituted in HEK293T cells in a mini-replicon assay. Polymerase complex activity and baloxavir inhibitory activity were measured in the presence or absence of 50 nM baloxavir acid. RESULTS Only three substitutions (R, K, P) reduced polymerase activity to <79% of I38-WT. When compared with the prototypical baloxavir marboxil resistance marker T38, 5 substitutions conferred 10%-35% reductions in baloxavir acid inhibitory activity (M, L, F, Y, C) and 11 substitutions conferred >50% reductions (R, K, S, N, G, W, A, Q, E, D, H), while two substitutions (V, P) maintained baloxavir acid inhibitory activity. CONCLUSIONS Most PA 38 substitutions permit a functional replication complex retaining some drug resistance in the mini-replicon assay. This study provides a targeted approach for virus rescue and analysis of novel baloxavir marboxil reduced-susceptibility markers, supports the consideration of a broader range of these markers during antiviral surveillance and adds to the growing knowledge of baloxavir marboxil resistance profiles.
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Affiliation(s)
- Jeremy C Jones
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Philippe N Q Pascua
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Walter N Harrington
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Richard J Webby
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Elena A Govorkova
- Department of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, TN, USA
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11
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Park JH, Kim B, Antigua KJC, Jeong JH, Kim CI, Choi WS, Oh S, Kim CH, Kim EG, Choi YK, Baek YH, Song MS. Baloxavir-oseltamivir combination therapy inhibits the emergence of resistant substitutions in influenza A virus PA gene in a mouse model. Antiviral Res 2021; 193:105126. [PMID: 34217753 DOI: 10.1016/j.antiviral.2021.105126] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2021] [Revised: 06/23/2021] [Accepted: 06/30/2021] [Indexed: 12/12/2022]
Abstract
Baloxavir marboxil (BXM) treatment-emergent polymerase acid (PA) I38X amino acid substitution (AAS) in the resistant variants of influenza viruses raise concerns regarding their emergence and spread. This study investigated the impact of 1 or 5 mg/kg BXM and 25 mg/kg oseltamivir phosphate (OS) (single or combination therapy) on the occurrence of resistance-related substitutions during the sequential lung-to-lung passages of AH1N1)pdm09 virus in mice. Deep sequencing analysis revealed that 67% (n = 4/6) of the population treated with BXM single therapy (1 or 5 mg/kg) possessed the treatment-emergent PA-I38X AAS variants (I38T, I38S, and I38V). Notably, BXM-OS combination therapy impeded PA-I38X AAS emergence. Although the doses utilized in the mouse model may not be directly translated into the clinically equivalent doses of each drugs, these findings offer insights toward alternative therapies to mitigate the emergence of influenza antiviral resistance.
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Affiliation(s)
- Ji-Hyun Park
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Beomkyu Kim
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Khristine Joy C Antigua
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Ju Hwan Jeong
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Chang Il Kim
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Won-Suk Choi
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Sol Oh
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Chan Hyung Kim
- Department of Pharmacology, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Eung-Gook Kim
- Department of Biochemistry, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Young Ki Choi
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea
| | - Yun Hee Baek
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea.
| | - Min-Suk Song
- Department of Microbiology, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju, Republic of Korea.
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Pujol-Navarro N, Kubiak-Ossowska K, Ferro V, Mulheran P. Simulating Peptide Monolayer Formation: GnRH-I on Silica. Int J Mol Sci 2021; 22:ijms22115523. [PMID: 34073815 PMCID: PMC8197186 DOI: 10.3390/ijms22115523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/14/2021] [Accepted: 05/14/2021] [Indexed: 11/16/2022] Open
Abstract
Molecular dynamics (MD) simulations can provide a detailed view of molecule behaviour at an atomic level, which can be useful when attempting to interpret experiments or design new systems. The decapeptide gonadotrophin-releasing hormone I (GnRH-I) is known to control fertility in mammals for both sexes. It was previously shown that inoculation with silica nanoparticles (SiNPs) coated with GnRH-I makes an effective anti-fertility vaccine due to how the peptide adsorbs to the nanoparticle and is presented to the immune system. In this paper, we develop and employ a protocol to simulate the development of a GnRH-I peptide adlayer by allowing peptides to diffuse and adsorb in a staged series of trajectories. The peptides start the simulation in an immobile state in solution above the model silica surface, and are then released sequentially. This facile approach allows the adlayer to develop in a natural manner and appears to be quite versatile. We find that the GnRH-I adlayer tends to be sparse, with electrostatics dominating the interactions. The peptides are collapsed to the surface and are seemingly free to interact with additional solutes, supporting the interpretations of the GNRH-I/SiNP vaccine system.
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Affiliation(s)
- Neret Pujol-Navarro
- Department of Chemical and Process Engineering, University of Strathclyde, 75 Montrose Street, Glasgow G1 1XJ, UK;
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow G4 0RE, UK;
- Correspondence:
| | - Karina Kubiak-Ossowska
- ARCHIE-WeSt, Department of Physics, University of Strathclyde, 107 Rottenrow East, Glasgow G4 0NG, UK;
| | - Valerie Ferro
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow G4 0RE, UK;
| | - Paul Mulheran
- Department of Chemical and Process Engineering, University of Strathclyde, 75 Montrose Street, Glasgow G1 1XJ, UK;
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13
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Abstract
Baloxavir marboxil (Xofluza®; hereafter referred to as baloxavir), the prodrug of baloxavir acid, is a first-in-class, small molecule inhibitor of the polymerase acidic (PA) protein subunit of the influenza virus polymerase complex. Baloxavir (after conversion to baloxavir acid) acts to block influenza virus replication by inhibiting the cap-dependent endonuclease activity of the PA protein. Taken orally as a single dose, baloxavir is approved in the USA for the treatment of acute uncomplicated influenza in patients ≥ 12 years of age who have been symptomatic for ≤ 48 h. Data from randomized, double-blind, placebo- and oseltamivir-controlled phase III trials have shown that baloxavir is efficacious in improving influenza symptoms both in otherwise healthy adolescents and adults and in those at high risk of influenza complications, displaying similar efficacy to that of oseltamivir. Furthermore, there is evidence that baloxavir can reduce influenza viral load more rapidly than oseltamivir. Baloxavir has activity against influenza A and B viruses (including strains resistant to neuraminidase inhibitors) and is well tolerated. Evidence of the emergence and likely human-to-human transmission of variant viruses with reduced susceptibility to baloxavir highlights the importance of monitoring and surveillance for changes in influenza virus drug susceptibility patterns. However, currently available evidence suggests that baloxavir, with the benefits of a single oral dose regimen, provides a useful alternative to neuraminidase inhibitors for the treatment of acute uncomplicated influenza in adolescents and adults.
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Affiliation(s)
- Matt Shirley
- Springer Nature, Private Bag 65901, Mairangi Bay, Auckland, 0754, New Zealand.
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14
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Todd B, Tchesnokov EP, Götte M. The active form of the influenza cap-snatching endonuclease inhibitor baloxavir marboxil is a tight binding inhibitor. J Biol Chem 2021; 296:100486. [PMID: 33647314 PMCID: PMC8065212 DOI: 10.1016/j.jbc.2021.100486] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 02/22/2021] [Accepted: 02/25/2021] [Indexed: 12/11/2022] Open
Abstract
Baloxavir marboxil (BXM) is an FDA-approved antiviral prodrug for the treatment of influenza A and B infection and postexposure prophylaxis. The active form, baloxavir acid (BXA), targets the cap-snatching endonuclease (PA) of the influenza virus polymerase complex. The nuclease activity delivers the primer for transcription, and previous reports have shown that BXA blocks the nuclease activity with high potency. However, biochemical studies on the mechanism of action are lacking. Structural data have shown that BXA chelates the two divalent metal ions at the active site, like inhibitors of the human immunodeficiency virus type 1 (HIV-1) integrase or ribonuclease (RNase) H. Here we studied the mechanisms underlying the high potency of BXA and how the I38T mutation confers resistance to the drug. Enzyme kinetics with the recombinant heterotrimeric enzyme (FluB-ht) revealed characteristics of a tight binding inhibitor. The apparent inhibitor constant (Kiapp) is 12 nM, while the I38T mutation increased Kiapp by ∼18-fold. Order-of-addition experiments show that a preformed complex of FluB-ht, Mg2+ ions and BXA is required to observe inhibition, which is consistent with active site binding. Conversely, a preformed complex of FluB-ht and RNA substrate prevents BXA from accessing the active site. Unlike integrase inhibitors that interact with the DNA substrate, BXA behaves like RNase H inhibitors that compete with the nucleic acid at the active site. The collective data support the conclusion that BXA is a tight binding inhibitor and the I38T mutation diminishes these properties.
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Affiliation(s)
- Brendan Todd
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, Alberta, Canada
| | - Egor P Tchesnokov
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, Alberta, Canada
| | - Matthias Götte
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, Alberta, Canada; Li Ka Shing Institute of Virology at University of Alberta, Edmonton, Alberta, Canada.
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15
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Du S, Lu XH, Li WY, Li LP, Ma YC, Zhou L, Wu JW, Ma Y, Wang RL. Exploring the dynamic mechanism of allosteric drug SHP099 inhibiting SHP2 E69K. Mol Divers 2021; 25:1873-1887. [PMID: 33392964 DOI: 10.1007/s11030-020-10179-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 12/17/2020] [Indexed: 10/22/2022]
Abstract
The E69K mutation is one of the most frequent protein tyrosine phosphatase-2 (SHP2) mutations in leukemia, and it can cause the increase in the protein activity. Recent studies have shown that the E69K mutation was fairly sensitive to the allosteric inhibitor of SHP2 (SHP099). However, the molecular mechanism of the allosteric drug SHP099 inhibiting SHP2E69K remains unclear. Thus, the molecular dynamic simulations and the post-dynamics analyses (RMSF, PCA, DCCM, RIN and the binding free energies) for SHP2WT, SHP2WT-SHP099, SHP2E69K and SHP2E69K-SHP099 were carried out, respectively. Owing to the strong binding affinity of SHP099 to residues Thr219 and Arg220, the flexibility of linker region (residues Val209-Arg231) was reduced. Moreover, the presence of SHP099 kept the autoinhibition state of the SHP2 protein through enhancing the interactions between the linker region and Q loop in PTP domain, such as Thr219/Val490, Thr219/Asn491, Arg220/Ile488 and Leu254/Asn491. In addition, it was found that the residues (Thr219, Arg220, Leu254 and Asn491) might be the key residues responsible for the conformational changes of protein. Overall, this study may provide an important basis for understanding how the SHP099 effectively inhibited the SHP2E69K activity at the molecular level.
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Affiliation(s)
- Shan Du
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Xin-Hua Lu
- New Drug Research & Development Center of North China Pharmaceutical Group Corporation, Key Laboratory for New Drug Screening Technology of Shijiazhuang City, National Microbial Medicine Engineering & Research Center, Hebei Industry Microbial Metabolic Engineering & Technology Research Center, Shijiazhuang, 050015, Hebei, China
| | - Wei-Ya Li
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Li-Peng Li
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Yang-Chun Ma
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Liang Zhou
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Jing-Wei Wu
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China
| | - Ying Ma
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China.
| | - Run-Ling Wang
- Tianjin Key Laboratory On Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), School of Pharmacy, Tianjin Medical University, Tianjin, 300070, China.
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16
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Integrating molecular modelling methods to advance influenza A virus drug discovery. Drug Discov Today 2020; 26:503-510. [PMID: 33220433 DOI: 10.1016/j.drudis.2020.11.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/20/2020] [Accepted: 11/11/2020] [Indexed: 11/20/2022]
Abstract
Since the discovery of the anti-influenza drugs oseltamivir and zanamivir using computer-aided drug design methods, there have been significant applications of molecular modelling methodologies applied to influenza A virus drug discovery, such as molecular dynamics (MD) simulation, molecular docking, and virtual screening (VS). In this review, we provide a brief general introduction to molecular modelling in the context of drug discovery and then focus on the advances and impact of integrating these methods with specific reference to potential influenza A antiviral drug targets.
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17
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Zhao L, Che J, Zhang Q, Li Y, Guo X, Chen L, Li H, Cao R, Li X. Identification of Novel Influenza Polymerase PB2 Inhibitors Using a Cascade Docking Virtual Screening Approach. Molecules 2020; 25:molecules25225291. [PMID: 33202790 PMCID: PMC7697191 DOI: 10.3390/molecules25225291] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 11/08/2020] [Accepted: 11/10/2020] [Indexed: 11/16/2022] Open
Abstract
To discover novel inhibitors that target the influenza polymerase basic protein 2 (PB2) cap-binding domain (CBD), commercial ChemBridge compound libraries containing 384,796 compounds were screened using a cascade docking of LibDock-LigandFit-GOLD, and 60 compounds were selected for testing with cytopathic effect (CPE) inhibition assays and surface plasmon resonance (SPR) assay. Ten compounds were identified to rescue cells from H1N1 virus-mediated death at non-cytotoxic concentrations with EC50 values ranging from 0.30 to 67.65 μM and could bind to the PB2 CBD of H1N1 with Kd values ranging from 0.21 to 6.77 μM. Among these, four compounds (11D4, 12C5, 21A5, and 21B1) showed inhibition of a broad spectrum of influenza virus strains, including oseltamivir-resistant ones, the PR/8-R292K mutant (H1N1, recombinant oseltamivir-resistant strain), the PR/8-I38T mutant (H1N1, recombinant baloxavir-resistant strain), and the influenza B/Lee/40 virus strain. These compounds have novel chemical scaffolds and relatively small molecular weights and are suitable for optimization as lead compounds. Based on sequence and structure comparisons of PB2 CBDs of various influenza virus subtypes, we propose that the Phe323/Gln325, Asn429/Ser431, and Arg355/Gly357 mutations, particularly the Arg355/Gly357 mutation, have a marked impact on the selectivities of PB2 CBD-targeted inhibitors of influenza A and influenza B.
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Affiliation(s)
- Lei Zhao
- Beijing Institute of Pharmacology and Toxicology, 27 Taiping Road, Beijing 100850, China; (L.Z.); (J.C.); (X.G.)
| | - Jinjing Che
- Beijing Institute of Pharmacology and Toxicology, 27 Taiping Road, Beijing 100850, China; (L.Z.); (J.C.); (X.G.)
| | - Qian Zhang
- Department of Medicinal Chemistry, School of Pharmacy, Fudan University, Shanghai 201203, China;
| | - Yiming Li
- West China School of Medical, Sichuan University, Chengdu 610041, China;
| | - Xiaojia Guo
- Beijing Institute of Pharmacology and Toxicology, 27 Taiping Road, Beijing 100850, China; (L.Z.); (J.C.); (X.G.)
| | - Lixia Chen
- Key Laboratory of Structure-Based Drug Design and Discovery, Ministry of Education, Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang 110016, China
- Correspondence: (L.C.); (H.L.); (R.C.); (X.L.); Tel.: +86-024-23986515 (L.C.); +86-27-83692762 (H.L.); +86-10-66930673-717(R.C.); +86-10-66930634 (X.L.)
| | - Hua Li
- Hubei Key Laboratory of Natural Medicinal Chemistry and Resource Evaluation, School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Correspondence: (L.C.); (H.L.); (R.C.); (X.L.); Tel.: +86-024-23986515 (L.C.); +86-27-83692762 (H.L.); +86-10-66930673-717(R.C.); +86-10-66930634 (X.L.)
| | - Ruiyuan Cao
- Beijing Institute of Pharmacology and Toxicology, 27 Taiping Road, Beijing 100850, China; (L.Z.); (J.C.); (X.G.)
- Correspondence: (L.C.); (H.L.); (R.C.); (X.L.); Tel.: +86-024-23986515 (L.C.); +86-27-83692762 (H.L.); +86-10-66930673-717(R.C.); +86-10-66930634 (X.L.)
| | - Xingzhou Li
- Beijing Institute of Pharmacology and Toxicology, 27 Taiping Road, Beijing 100850, China; (L.Z.); (J.C.); (X.G.)
- Correspondence: (L.C.); (H.L.); (R.C.); (X.L.); Tel.: +86-024-23986515 (L.C.); +86-27-83692762 (H.L.); +86-10-66930673-717(R.C.); +86-10-66930634 (X.L.)
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18
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Yoshino R, Yasuo N, Sekijima M. Identification of key interactions between SARS-CoV-2 main protease and inhibitor drug candidates. Sci Rep 2020; 10:12493. [PMID: 32719454 PMCID: PMC7385649 DOI: 10.1038/s41598-020-69337-9] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 07/01/2020] [Indexed: 01/08/2023] Open
Abstract
The number of cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (COVID-19) has reached over 114,000. SARS-CoV-2 caused a pandemic in Wuhan, China, in December 2019 and is rapidly spreading globally. It has been reported that peptide-like anti-HIV-1 drugs are effective against SARS-CoV Main protease (Mpro). Due to the close phylogenetic relationship between SARS-CoV and SARS-CoV-2, their main proteases share many structural and functional features. Thus, these drugs are also regarded as potential drug candidates targeting SARS-CoV-2 Mpro. However, the mechanism of action of SARS-CoV-2 Mpro at the atomic-level is unknown. In the present study, we revealed key interactions between SARS-CoV-2 Mpro and three drug candidates by performing pharmacophore modeling and 1 μs molecular dynamics (MD) simulations. His41, Gly143, and Glu166 formed interactions with the functional groups that were common among peptide-like inhibitors in all MD simulations. These interactions are important targets for potential drugs against SARS-CoV-2 Mpro.
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Affiliation(s)
- Ryunosuke Yoshino
- Transborder Medical Research Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan
- Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8577, Japan
| | - Nobuaki Yasuo
- Tokyo Tech Academy for Convergence of Materials and Informatics (TAC-MI), Tokyo Institute of Technology, J3-23-4259 Nagatsutacho, Midori-ku, Yokohama, 226-8501, Japan
| | - Masakazu Sekijima
- Tokyo Tech Academy for Convergence of Materials and Informatics (TAC-MI), Tokyo Institute of Technology, J3-23-4259 Nagatsutacho, Midori-ku, Yokohama, 226-8501, Japan.
- School of Computing, Tokyo Institute of Technology, J3-23-4259 Nagatsutacho, Midori-ku, Yokohama, 226-8501, Japan.
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19
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Influenza A and B viruses with reduced baloxavir susceptibility display attenuated in vitro fitness but retain ferret transmissibility. Proc Natl Acad Sci U S A 2020; 117:8593-8601. [PMID: 32217734 DOI: 10.1073/pnas.1916825117] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Baloxavir marboxil (BXM) was approved in 2018 for treating influenza A and B virus infections. It is a first-in-class inhibitor targeting the endonuclease activity of the virus polymerase acidic (PA) protein. Clinical trial data revealed that PA amino acid substitutions at residue 38 (I38T/F/M) reduced BXM potency and caused virus rebound in treated patients, although the fitness characteristics of the mutant viruses were not fully defined. To determine the fitness impact of the I38T/F/M substitutions, we generated recombinant A/California/04/2009 (H1N1)pdm09, A/Texas/71/2017 (H3N2), and B/Brisbane/60/2008 viruses with I38T/F/M and examined drug susceptibility in vitro, enzymatic properties, replication efficiency, and transmissibility in ferrets. Influenza viruses with I38T/F/M substitutions exhibited reduced baloxavir susceptibility, with 38T causing the greatest reduction. The I38T/F/M substitutions impaired PA endonuclease activity as compared to that of wild-type (I38-WT) PA. However, only 38T/F A(H3N2) substitutions had a negative effect on polymerase complex activity. The 38T/F substitutions decreased replication in cells among all viruses, whereas 38M had minimal impact. Despite variable fitness consequences in vitro, all 38T/M viruses disseminated to naive ferrets by contact and airborne transmission, while 38F-containing A(H3N2) and B viruses failed to transmit via the airborne route. Reversion of 38T/F/M to I38-WT was rare among influenza A viruses in this study, suggesting stable retention of 38T/F/M genotypes during these transmission events. BXM reduced susceptibility-associated mutations had variable effects on in vitro fitness of influenza A and B viruses, but the ability of these viruses to transmit in vivo indicates a risk of their spreading from BXM-treated individuals.
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20
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Sloan SE, Szretter KJ, Sundaresh B, Narayan KM, Smith PF, Skurnik D, Bedard S, Trevejo JM, Oldach D, Shriver Z. Clinical and virological responses to a broad-spectrum human monoclonal antibody in an influenza virus challenge study. Antiviral Res 2020; 184:104763. [PMID: 32151645 DOI: 10.1016/j.antiviral.2020.104763] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/06/2020] [Accepted: 03/04/2020] [Indexed: 01/03/2023]
Abstract
Influenza A infections cause significant seasonal morbidity and mortality as well as periodic pandemic infections. Currently, no approved therapies exist for patients hospitalized with influenza. The efficacy of VIS410, a broadly neutralizing human immunoglobulin IgG1 monoclonal antibody engineered to bind to the stem region of group 1 and 2 influenza A hemagglutinins, was explored in experimental human influenza infection. Healthy volunteers were inoculated with influenza A/California/07/2009 (H1N1) and received a single dose of VIS410 or placebo 24 h later. Subjects were monitored for symptoms, viral shedding, and safety, including cytokine measurements. The primary efficacy endpoint was the area under the curve (AUC) of viral load (VL) in the VIS410 group versus placebo. VIS410 treatment was associated with a 76% reduction in median VL AUC as measured by qRT-PCR (p = 0.024). Similar VIS410 antiviral activity was observed by virus culture, with a 91% reduction in median VL AUC by TCID50 (p = 0.019) compared to placebo-treated volunteers. Influenza symptoms were generally mild or moderate, with a trend toward faster resolution in VIS410-treated subjects. Treatment with VIS410 was generally safe, with an increase in gastrointestinal events that were largely mitigated by pre-treatment with oral diphenhydramine (50 mg) in combination with 600 mg of ibuprofen. Transient elevation of specific cytokines (IL-8 and TNFα) were associated with gastrointestinal adverse events. Treatment with VIS410 did not interfere with the endogenous immune response to influenza A. These data indicate that VIS410 may provide therapeutic benefit in influenza A infection. TRIAL REGISTRATION: ClinicaTtrials.gov Identification NCT02468115; https://clinicaltrials.gov/ct2/show/NCT02468115?term=NCT02468115&rank=1).
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Affiliation(s)
| | - Kristy J Szretter
- Takeda Pharmaceuticals International, Inc., Cambridge, Massachusetts 02139, USA
| | | | | | | | - David Skurnik
- Division of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Institut Necker-Enfants Malades, INSERM U1151, CNRS UMR, 8253, Paris, France; Université Paris Descartes, Paris, France; Service de Microbiologie, Hôpital Necker-Enfants Malades, Assistance Publique-Hôpitaux de Paris, Paris, France
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