Filtros : "COMPOSITAE" "Edrada-Ebel, RuAngelie" Removido: "Gallo, Margareth Borges Coutinho" Limpar

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  • Source: Scientific Reports. Unidade: FCFRP

    Subjects: METABOLISMO VEGETAL, COMPOSITAE, MEIO AMBIENTE, INTERAÇÃO QUÍMICA

    Acesso à fonteDOIHow to cite
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    • ABNT

      SAMPAIO, Bruno Leite e EDRADA-EBEL, RuAngelie e COSTA, Fernando Batista da. Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: a model for environmental metabolomics of plants. Scientific Reports, v. 6, 2016Tradução . . Disponível em: https://doi.org/10.1038/srep29265. Acesso em: 04 nov. 2024.
    • APA

      Sampaio, B. L., Edrada-Ebel, R. A., & Costa, F. B. da. (2016). Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: a model for environmental metabolomics of plants. Scientific Reports, 6. doi:10.1038/srep29265
    • NLM

      Sampaio BL, Edrada-Ebel RA, Costa FB da. Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: a model for environmental metabolomics of plants [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/srep29265
    • Vancouver

      Sampaio BL, Edrada-Ebel RA, Costa FB da. Effect of the environment on the secondary metabolic profile of Tithonia diversifolia: a model for environmental metabolomics of plants [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 04 ] Available from: https://doi.org/10.1038/srep29265
  • Source: Planta Medica. Unidade: FCFRP

    Subjects: ANTI-INFLAMATÓRIOS, FARMACOLOGIA, BIOMARCADORES, COMPOSITAE

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    • ABNT

      CHAGAS-PAULA, Daniela Aparecida et al. Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies. Planta Medica, v. 81, n. 6, p. 450-458, 2015Tradução . . Disponível em: https://doi.org/10.1055/s-0034-1396206. Acesso em: 04 nov. 2024.
    • APA

      Chagas-Paula, D. A., Oliveira, T. B., Zhang, T., Edrada-Ebel, R. A., & Costa, F. B. da. (2015). Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies. Planta Medica, 81( 6), 450-458. doi:10.1055/s-0034-1396206
    • NLM

      Chagas-Paula DA, Oliveira TB, Zhang T, Edrada-Ebel RA, Costa FB da. Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies [Internet]. Planta Medica. 2015 ; 81( 6): 450-458.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1055/s-0034-1396206
    • Vancouver

      Chagas-Paula DA, Oliveira TB, Zhang T, Edrada-Ebel RA, Costa FB da. Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies [Internet]. Planta Medica. 2015 ; 81( 6): 450-458.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1055/s-0034-1396206
  • Source: Metabolites. Unidade: FCFRP

    Subjects: COMPOSITAE, FITOQUÍMICA, ANTI-INFLAMATÓRIOS, PRODUTOS NATURAIS

    Acesso à fonteDOIHow to cite
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    • ABNT

      PAULA, Daniela Aparecida Chagas de et al. A metabolomic approach to target compounds from the asteraceae family for dual COX and LOX inhibition. Metabolites, v. 5, n. 3, p. 404-430, 2015Tradução . . Disponível em: https://doi.org/10.3390/metabo5030404. Acesso em: 04 nov. 2024.
    • APA

      Paula, D. A. C. de, Zhang, T., Costa, F. B. da, & Edrada-Ebel, R. A. (2015). A metabolomic approach to target compounds from the asteraceae family for dual COX and LOX inhibition. Metabolites, 5( 3), 404-430. doi:10.3390/metabo5030404
    • NLM

      Paula DAC de, Zhang T, Costa FB da, Edrada-Ebel RA. A metabolomic approach to target compounds from the asteraceae family for dual COX and LOX inhibition [Internet]. Metabolites. 2015 ; 5( 3): 404-430.[citado 2024 nov. 04 ] Available from: https://doi.org/10.3390/metabo5030404
    • Vancouver

      Paula DAC de, Zhang T, Costa FB da, Edrada-Ebel RA. A metabolomic approach to target compounds from the asteraceae family for dual COX and LOX inhibition [Internet]. Metabolites. 2015 ; 5( 3): 404-430.[citado 2024 nov. 04 ] Available from: https://doi.org/10.3390/metabo5030404

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