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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, Interunidades em 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: 09 nov. 2025.
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 2025 nov. 09 ] 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 2025 nov. 09 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 09 nov. 2025.
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 2025 nov. 09 ] 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 2025 nov. 09 ] 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: Interunidades em 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: 09 nov. 2025.
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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00895
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)
González-Durruthy, Michael; Alberici, Luciane C.; Curti, Carlos; Naal, Zeki; Sawazaki, David Tatsuo A; Vázquez-Naya, José M.; González-Díaz, Humberto; Munteanu, Cristian R.
Source: Journal of Chemical Information and Modeling. Unidade: FCFRP
Subjects: ENTROPIA, REGRESSÃO LINEAR, MITOCÔNDRIAS, NANOTUBOS DE CARBONO, BIOMEDICINA, OXIGÊNIO
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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: 09 nov. 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 nov. 09 ] 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 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458
Artigo de periodico
Study of chromatographic retention of natural terpenoids by chemoinformatic tools (2015)
Oliveira, Tiago B.; Gobbo Neto, Leonardo; Schmidt, Thomas J.; Costa, Fernando Batista da
Source: Journal of Chemical Information and Modeling. Unidade: FCFRP
Subjects: CROMATOGRAFIA, SESQUITERPENOS, PRODUTOS NATURAIS
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ABNT
OLIVEIRA, Tiago B. et al. Study of chromatographic retention of natural terpenoids by chemoinformatic tools. Journal of Chemical Information and Modeling, v. 55, n. 1, p. 26-38, 2015Tradução . . Disponível em: https://doi.org/10.1021/ci500581q. Acesso em: 09 nov. 2025.
APA
Oliveira, T. B., Gobbo Neto, L., Schmidt, T. J., & Costa, F. B. da. (2015). Study of chromatographic retention of natural terpenoids by chemoinformatic tools. Journal of Chemical Information and Modeling, 55( 1), 26-38. doi:10.1021/ci500581q
NLM
Oliveira TB, Gobbo Neto L, Schmidt TJ, Costa FB da. Study of chromatographic retention of natural terpenoids by chemoinformatic tools [Internet]. Journal of Chemical Information and Modeling. 2015 ; 55( 1): 26-38.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/ci500581q
Vancouver
Oliveira TB, Gobbo Neto L, Schmidt TJ, Costa FB da. Study of chromatographic retention of natural terpenoids by chemoinformatic tools [Internet]. Journal of Chemical Information and Modeling. 2015 ; 55( 1): 26-38.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/ci500581q

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