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Filtros : "Guimaraes, Amanda Ribeiro" "EACH" Removido: "Teses e dissertações" Limpar

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  • Artigo de periodico

    New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie (2021)

    Silva, Aldineia Pereira da ; Chiari, Laise Pellegrini Alencar ; Guimaraes, Amanda Ribeiro ; Honório, Káthia Maria ; Silva, Alberico Borges Ferreira da

    Source: Structural Chemistry. Unidades: EACH, IQSC

    Subjects: ESQUIZOFRENIA, QUÍMICA

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      SILVA, Aldineia Pereira da et al. New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie. Structural Chemistry, v. 32, p. 2019–2033, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11224-021-01742-w. Acesso em: 05 out. 2024.

    • APA

      Silva, A. P. da, Chiari, L. P. A., Guimaraes, A. R., Honório, K. M., & Silva, A. B. F. da. (2021). New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie. Structural Chemistry, 32, 2019–2033. doi:10.1007/s11224-021-01742-w

    • NLM

      Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie [Internet]. Structural Chemistry. 2021 ; 32 2019–2033.[citado 2024 out. 05 ] Available from: https://doi.org/10.1007/s11224-021-01742-w

    • Vancouver

      Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie [Internet]. Structural Chemistry. 2021 ; 32 2019–2033.[citado 2024 out. 05 ] Available from: https://doi.org/10.1007/s11224-021-01742-w

  • Artigo de periodico

    Drug design of new 5-HT6R antagonists aided by artificial neural networks (2021)

    Silva, Aldineia Pereira da ; Chiari, Laise Pellegrini Alencar ; Guimaraes, Amanda Ribeiro ; Honório, Káthia Maria ; Silva, Alberico Borges Ferreira da

    Source: Journal of Molecular Graphics and Modelling. Unidades: IQSC, EACH

    Subjects: DOENÇA DE ALZHEIMER, HALOGÊNIOS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      SILVA, Aldineia Pereira da et al. Drug design of new 5-HT6R antagonists aided by artificial neural networks. Journal of Molecular Graphics and Modelling, v. 104, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jmgm.2021.107844. Acesso em: 05 out. 2024.

    • APA

      Silva, A. P. da, Chiari, L. P. A., Guimaraes, A. R., Honório, K. M., & Silva, A. B. F. da. (2021). Drug design of new 5-HT6R antagonists aided by artificial neural networks. Journal of Molecular Graphics and Modelling, 104. doi:10.1016/j.jmgm.2021.107844

    • NLM

      Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. Drug design of new 5-HT6R antagonists aided by artificial neural networks [Internet]. Journal of Molecular Graphics and Modelling. 2021 ; 104[citado 2024 out. 05 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844

    • Vancouver

      Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. Drug design of new 5-HT6R antagonists aided by artificial neural networks [Internet]. Journal of Molecular Graphics and Modelling. 2021 ; 104[citado 2024 out. 05 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844
  • 1

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