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  1. 1.
    0574796 - ÚOCHB 2024 RIV GB eng J - Journal Article
    Maltarollo, V. G. - da Silva, E. B. - Kronenberger, T. - Andrade, M. M. S. - de Lima Marques, G. V. - Oliveira, N. J. C. - Santos, L. H. - de Oliveira Rezende Júnior, C. - Martinho, A. C. C. - Skinner, D. - Fajtová, Pavla - Fernandes, T. H. M. - da Silveira dos Santos, E. - Gazolla, P. A. R. - de Souza, A. P. M. - da Silva, M. L. - dos Santos, F. S. - Lavorato, S. N. - Bretas, A. C. O. - Carvalho, D. T. - Franco, L. L. - Luedtke, S. - Giardini, M. A. - Poso, A. - Dias, L. C. - Podust, L. M. - Alves, R. J. - McKerrow, J. - Andrade, S. F. - Teixeira, R. R. - Siqueira-Neto, J. L. - O'Donoghue, A. - de Oliveira, R. B. - Ferreira, R. S.
    Structure-based discovery of thiosemicarbazones as SARS-CoV-2 main protease inhibitors.
    Future Medicinal Chemistry. Roč. 15, č. 11 (2023), s. 959-985. ISSN 1756-8919. E-ISSN 1756-8927
    Institutional support: RVO:61388963
    Keywords : computer-aided drug design * coronavirus * molecular docking * molecular dynamics simulations * Mpro * protease inhibitors * SARS-CoV-2 * virtual screening
    OECD category: Biochemistry and molecular biology
    Impact factor: 4.2, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.4155/fmc-2023-0034
    Permanent Link: https://hdl.handle.net/11104/0344832
     
     

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