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Filtros : "Silva, Fernando Luís Barroso da" "Journal of Chemical Information and Modeling" Limpar

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  • Artigo de periodico

    How the strain origin of Zika Virus NS1 protein impacts its dynamics and implications to their differential virulence (2021)

    Poveda Cuevas, Sergio Alejandro; Silva, Fernando Luís Barroso da ; Etchebest, Catherine

    Source: Journal of Chemical Information and Modeling. Unidades: FCFRP, BIOINFORMÁTICA

    Subjects: ZIKA VÍRUS, VIRULÊNCIA, FLAVIVIRUS

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    • ABNT

      POVEDA CUEVAS, Sergio Alejandro e SILVA, Fernando Luís Barroso da e ETCHEBEST, Catherine. How the strain origin of Zika Virus NS1 protein impacts its dynamics and implications to their differential virulence. Journal of Chemical Information and Modeling, v. 61, n. 3, p. 1516-1530, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.0c01377. Acesso em: 28 maio 2024.

    • APA

      Poveda Cuevas, S. A., Silva, F. L. B. da, & Etchebest, C. (2021). How the strain origin of Zika Virus NS1 protein impacts its dynamics and implications to their differential virulence. Journal of Chemical Information and Modeling, 61( 3), 1516-1530. doi:10.1021/acs.jcim.0c01377

    • NLM

      Poveda Cuevas SA, Silva FLB da, Etchebest C. How the strain origin of Zika Virus NS1 protein impacts its dynamics and implications to their differential virulence [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 3): 1516-1530.[citado 2024 maio 28 ] Available from: https://doi.org/10.1021/acs.jcim.0c01377

    • Vancouver

      Poveda Cuevas SA, Silva FLB da, Etchebest C. How the strain origin of Zika Virus NS1 protein impacts its dynamics and implications to their differential virulence [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 3): 1516-1530.[citado 2024 maio 28 ] Available from: https://doi.org/10.1021/acs.jcim.0c01377

  • Artigo de periodico

    Combined experimental and molecular simulation study of insulin–chitosan complexation driven by electrostatic interactions (2020)

    Prudkin-Silva, Cecilia; Pérez, Oscar E.; Martínez, Karina D.; Silva, Fernando Luís Barroso da

    Source: Journal of Chemical Information and Modeling. Unidade: FCFRP

    Subjects: BIOMATERIAIS, MÉTODO DE MONTE CARLO, INSULINA, QUITOSANA, ELETROSTÁTICA, MACROMOLÉCULA

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    • ABNT

      PRUDKIN-SILVA, Cecilia et al. Combined experimental and molecular simulation study of insulin–chitosan complexation driven by electrostatic interactions. Journal of Chemical Information and Modeling, v. 60, n. 2, p. 854-865, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00814. Acesso em: 28 maio 2024.

    • APA

      Prudkin-Silva, C., Pérez, O. E., Martínez, K. D., & Silva, F. L. B. da. (2020). Combined experimental and molecular simulation study of insulin–chitosan complexation driven by electrostatic interactions. Journal of Chemical Information and Modeling, 60( 2), 854-865. doi:10.1021/acs.jcim.9b00814

    • NLM

      Prudkin-Silva C, Pérez OE, Martínez KD, Silva FLB da. Combined experimental and molecular simulation study of insulin–chitosan complexation driven by electrostatic interactions [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 2): 854-865.[citado 2024 maio 28 ] Available from: https://doi.org/10.1021/acs.jcim.9b00814

    • Vancouver

      Prudkin-Silva C, Pérez OE, Martínez KD, Silva FLB da. Combined experimental and molecular simulation study of insulin–chitosan complexation driven by electrostatic interactions [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60( 2): 854-865.[citado 2024 maio 28 ] Available from: https://doi.org/10.1021/acs.jcim.9b00814

  • Artigo de periodico

    Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method (2019)

    Poveda Cuevas, Sergio Alejandro; Etchebest, Catherine; Silva, Fernando Luís Barroso da

    Source: Journal of Chemical Information and Modeling. Unidades: BIOINFORMÁTICA, FCFRP

    Subjects: ANTÍGENOS, IMUNOLOGIA, FLAVIVIRUS

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    • ABNT

      POVEDA CUEVAS, Sergio Alejandro e ETCHEBEST, Catherine e SILVA, Fernando Luís Barroso da. Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method. Journal of Chemical Information and Modeling, v. 60, n. 2, p. 944-963, 2019Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00895. Acesso em: 28 maio 2024.

    • APA

      Poveda Cuevas, S. A., Etchebest, C., & Silva, F. L. B. da. (2019). Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method. Journal of Chemical Information and Modeling, 60( 2), 944-963. doi:10.1021/acs.jcim.9b00895

    • NLM

      Poveda Cuevas SA, Etchebest C, Silva FLB da. Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method [Internet]. Journal of Chemical Information and Modeling. 2019 ; 60( 2): 944-963.[citado 2024 maio 28 ] Available from: https://doi.org/10.1021/acs.jcim.9b00895

    • Vancouver

      Poveda Cuevas SA, Etchebest C, Silva FLB da. Identification of electrostatic epitopes in flavivirus by computer simulations: the PROCEEDpKa method [Internet]. Journal of Chemical Information and Modeling. 2019 ; 60( 2): 944-963.[citado 2024 maio 28 ] Available from: https://doi.org/10.1021/acs.jcim.9b00895
  • 1

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