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Filtros : "Seifert-Davila, Wolfram" Limpar

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  • Trabalho de evento-resumo

    Structural analysis of snake venom thrombin-like enzymes (SVTLEs) from Bothrops atrox venom, more than just isoforms (2023)

    Salcedo-Prudencio, Anthony; Cabrejos, Diego Antonio Leonardo ; Torrejon, Daniel; Seifert-Davila, Wolfram ; Cárdenas, Javier; Lazo, Fanny; Yarlequé, Armando; Vivas-Ruiz, Dan

    Source: Posters. Conference titles: Venoms & Toxins 2023. Unidade: IFSC

    Subjects: CRISTALOGRAFIA, VENENOS DE ORIGEM ANIMAL, SERPENTES, TOXINAS

    PrivadoHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      SALCEDO-PRUDENCIO, Anthony et al. Structural analysis of snake venom thrombin-like enzymes (SVTLEs) from Bothrops atrox venom, more than just isoforms. 2023, Anais.. London: LibPubMedia, 2023. Disponível em: https://repositorio.usp.br/directbitstream/4e8b635d-a8f7-4aab-a60b-0608f53071c2/3159154.pdf. Acesso em: 23 maio 2024.

    • APA

      Salcedo-Prudencio, A., Cabrejos, D. A. L., Torrejon, D., Seifert-Davila, W., Cárdenas, J., Lazo, F., et al. (2023). Structural analysis of snake venom thrombin-like enzymes (SVTLEs) from Bothrops atrox venom, more than just isoforms. In Posters. London: LibPubMedia. Recuperado de https://repositorio.usp.br/directbitstream/4e8b635d-a8f7-4aab-a60b-0608f53071c2/3159154.pdf

    • NLM

      Salcedo-Prudencio A, Cabrejos DAL, Torrejon D, Seifert-Davila W, Cárdenas J, Lazo F, Yarlequé A, Vivas-Ruiz D. Structural analysis of snake venom thrombin-like enzymes (SVTLEs) from Bothrops atrox venom, more than just isoforms [Internet]. Posters. 2023 ;[citado 2024 maio 23 ] Available from: https://repositorio.usp.br/directbitstream/4e8b635d-a8f7-4aab-a60b-0608f53071c2/3159154.pdf

    • Vancouver

      Salcedo-Prudencio A, Cabrejos DAL, Torrejon D, Seifert-Davila W, Cárdenas J, Lazo F, Yarlequé A, Vivas-Ruiz D. Structural analysis of snake venom thrombin-like enzymes (SVTLEs) from Bothrops atrox venom, more than just isoforms [Internet]. Posters. 2023 ;[citado 2024 maio 23 ] Available from: https://repositorio.usp.br/directbitstream/4e8b635d-a8f7-4aab-a60b-0608f53071c2/3159154.pdf

  • Artigo de periodico

    findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM (2022)

    Chojnowski, Grzegorz ; Simpkin, Adam J.; Leonardo, Diego Antonio; Seifert-Davila, Wolfram ; Vivas-Ruiz, Dan E.; Keegan, Ronan M.; Rigden, Daniel J.

    Source: IUCrJ. Unidade: IFSC

    Subjects: PROTEÍNAS, BIOINFORMÁTICA, REDES NEURAIS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      CHOJNOWSKI, Grzegorz et al. findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM. IUCrJ, v. 9, n. Ja 2022, p. 86-97, 2022Tradução . . Disponível em: https://doi.org/10.1107/S2052252521011088. Acesso em: 23 maio 2024.

    • APA

      Chojnowski, G., Simpkin, A. J., Leonardo, D. A., Seifert-Davila, W., Vivas-Ruiz, D. E., Keegan, R. M., & Rigden, D. J. (2022). findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM. IUCrJ, 9( Ja 2022), 86-97. doi:10.1107/S2052252521011088

    • NLM

      Chojnowski G, Simpkin AJ, Leonardo DA, Seifert-Davila W, Vivas-Ruiz DE, Keegan RM, Rigden DJ. findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM [Internet]. IUCrJ. 2022 ; 9( Ja 2022): 86-97.[citado 2024 maio 23 ] Available from: https://doi.org/10.1107/S2052252521011088

    • Vancouver

      Chojnowski G, Simpkin AJ, Leonardo DA, Seifert-Davila W, Vivas-Ruiz DE, Keegan RM, Rigden DJ. findMySequence: a neural-network-based approach for identification of unknown proteins in X-ray crystallography and cryo-EM [Internet]. IUCrJ. 2022 ; 9( Ja 2022): 86-97.[citado 2024 maio 23 ] Available from: https://doi.org/10.1107/S2052252521011088
  • 1

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