Artigo de periodico

Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants (2017)

• Authors:
  • González-Durruthy, Michael
  • Alberici, Luciane C.
  • Curti, Carlos
  • Naal, Zeki
  • Sawazaki, David Tatsuo A
  • Vázquez-Naya, José M.
  • González-Díaz, Humberto
  • Munteanu, Cristian R.
• USP affiliated authors: ALBERICI, LUCIANE CARLA - FCFRP ; CURTI, CARLOS - FCFRP ; NAAL, ZEKI - FCFRP
• Unidade: FCFRP
• DOI: 10.1021/acs.jcim.6b00458
• Subjects: ENTROPIA; REGRESSÃO LINEAR; MITOCÔNDRIAS; NANOTUBOS DE CARBONO; BIOMEDICINA; OXIGÊNIO
• Agências de fomento:
  • Financiado pela European Regional Development Fund
  • Financiado pelo CNPq
  • Financiado pela CAPES
  • Financiado pela Consellería de Cultura, Educación e Ordenación Universitaria, Xunta de Galicia
  • Financiado pela Xunta de Galicia
• Language: Inglês
• Imprenta:
  • Publisher place: Washington
  • Date published: 2017
• Source:
  • Título: Journal of Chemical Information and Modeling
  • ISSN: 1549-9596
  • Volume/Número/Paginação/Ano: v. 57, n. 5, p. 1029-1044, 2017

Informações sobre o DOI: 10.1021/acs.jcim.6b00458 (Fonte: oaDOI API)
• Este periódico é de assinatura
• Este artigo é de acesso aberto
• URL de acesso aberto
• Cor do Acesso Aberto: green
• Licença: other-oa

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• ABNT

  GONZÁLEZ-DURRUTHY, Michael et al. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants. Journal of Chemical Information and Modeling, v. 57, n. 5, p. 1029-1044, 2017Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.6b00458. Acesso em: 27 dez. 2025.

• APA

  González-Durruthy, M., Alberici, L. C., Curti, C., Naal, Z., Sawazaki, D. T. A., Vázquez-Naya, J. M., et al. (2017). Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants. Journal of Chemical Information and Modeling, 57( 5), 1029-1044. doi:10.1021/acs.jcim.6b00458

• NLM

  González-Durruthy M, Alberici LC, Curti C, Naal Z, Sawazaki DTA, Vázquez-Naya JM, González-Díaz H, Munteanu CR. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants [Internet]. Journal of Chemical Information and Modeling. 2017 ; 57( 5): 1029-1044.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458

• Vancouver

  González-Durruthy M, Alberici LC, Curti C, Naal Z, Sawazaki DTA, Vázquez-Naya JM, González-Díaz H, Munteanu CR. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants [Internet]. Journal of Chemical Information and Modeling. 2017 ; 57( 5): 1029-1044.[citado 2025 dez. 27 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458

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