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Filtros : "Journal of Chemical Information and Modeling" "Financiamento NIH" Removido: "Brasil" Limpar

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  • Artigo de periodico-carta/editorial

    Editing DNA and RNA through Computations [Editorial] (2023)

    Palermo, Giulia; Soares, Thereza A.

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

    Subjects: QUÍMICA, REPLICAÇÃO DO DNA, GENÔMICA, ÁCIDOS NUCLEICOS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      PALERMO, Giulia e SOARES, Thereza A. Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.3c01824. Acesso em: 23 nov. 2025. , 2023

    • APA

      Palermo, G., & Soares, T. A. (2023). Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.3c01824

    • NLM

      Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824

    • Vancouver

      Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824

  • Artigo de periodico

    Quantum machine learning algorithms for drug discovery applications (2021)

    Batra, Kushal; Zorn, Kimberley M.; Foil, Daniel H.; Minerali, Eni; Gawriljuk, Victor Oliveira; Lane, Thomas R.; Ekins, Sean

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

    Subjects: PLANEJAMENTO DE FÁRMACOS, COMPUTAÇÃO APLICADA, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      BATRA, Kushal et al. Quantum machine learning algorithms for drug discovery applications. Journal of Chemical Information and Modeling, v. 61, n. 6, p. 2641-2647, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c00166. Acesso em: 23 nov. 2025.

    • APA

      Batra, K., Zorn, K. M., Foil, D. H., Minerali, E., Gawriljuk, V. O., Lane, T. R., & Ekins, S. (2021). Quantum machine learning algorithms for drug discovery applications. Journal of Chemical Information and Modeling, 61( 6), 2641-2647. doi:10.1021/acs.jcim.1c00166

    • NLM

      Batra K, Zorn KM, Foil DH, Minerali E, Gawriljuk VO, Lane TR, Ekins S. Quantum machine learning algorithms for drug discovery applications [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 6): 2641-2647.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.1c00166

    • Vancouver

      Batra K, Zorn KM, Foil DH, Minerali E, Gawriljuk VO, Lane TR, Ekins S. Quantum machine learning algorithms for drug discovery applications [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 6): 2641-2647.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.1c00166

  • Artigo de periodico

    Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus (2021)

    Oliveira, Victor Gawriljuk Ferraro; Foil, Daniel H.; Puhl, Ana C. ; Zorn, Kimberley M.; Lane, Thomas R.; Riabova, Olga; Makarov, Vadim; Godoy, Andre Schutzer de ; Oliva, Glaucius ; Ekins, Sean

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

    Subjects: FEBRE AMARELA, APRENDIZADO COMPUTACIONAL, PLANEJAMENTO DE FÁRMACOS, ANTIVIRAIS

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      OLIVEIRA, Victor Gawriljuk Ferraro et al. Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus. Journal of Chemical Information and Modeling, v. 61, n. 8, p. 3804-3813, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c00460. Acesso em: 23 nov. 2025.

    • APA

      Oliveira, V. G. F., Foil, D. H., Puhl, A. C., Zorn, K. M., Lane, T. R., Riabova, O., et al. (2021). Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus. Journal of Chemical Information and Modeling, 61( 8), 3804-3813. doi:10.1021/acs.jcim.1c00460

    • NLM

      Oliveira VGF, Foil DH, Puhl AC, Zorn KM, Lane TR, Riabova O, Makarov V, Godoy AS de, Oliva G, Ekins S. Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 8): 3804-3813.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.1c00460

    • Vancouver

      Oliveira VGF, Foil DH, Puhl AC, Zorn KM, Lane TR, Riabova O, Makarov V, Godoy AS de, Oliva G, Ekins S. Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 8): 3804-3813.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.1c00460
  • 1

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