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Tese (Doutorado)
Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions (2022)
Poveda Cuevas, Sergio Alejandro; Silva, Fernando Luís Barroso da (Orientador) ; Etchebest, Catherine Jeanne Chantal (coorient)
Unidade: BIOINFORMÁTICA
Assuntos: BIOINFORMÁTICA, FLAVIVIRUS, ZIKA VÍRUS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POVEDA CUEVAS, Sergio Alejandro. Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions. 2022. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/. Acesso em: 03 ago. 2024.
APA
Poveda Cuevas, S. A. (2022). Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/
NLM
Poveda Cuevas SA. Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions [Internet]. 2022 ;[citado 2024 ago. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/
Vancouver
Poveda Cuevas SA. Structural Bioinformatics studies of the Zika virus non-structural protein 1 and its molecular interactions [Internet]. 2022 ;[citado 2024 ago. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-02052022-223047/
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
Fonte: Journal of Chemical Information and Modeling. Unidades: FCFRP, BIOINFORMÁTICA
Assuntos: ZIKA VÍRUS, VIRULÊNCIA, FLAVIVIRUS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 ago. 2024.
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 2024 ago. 03 ] 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 2024 ago. 03 ] Available from: https://doi.org/10.1021/acs.jcim.0c01377
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
Fonte: Journal of Chemical Information and Modeling. Unidades: BIOINFORMÁTICA, FCFRP
Assuntos: ANTÍGENOS, IMUNOLOGIA, FLAVIVIRUS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 ago. 2024.
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 2024 ago. 03 ] 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 2024 ago. 03 ] Available from: https://doi.org/10.1021/acs.jcim.9b00895
Dissertação (Mestrado)
Coarse-grained modeling with constant pH of the protein complexation phenomena (2017)
Poveda Cuevas, Sergio Alejandro; Silva, Fernando Luis Barroso da (Orientador)
Unidade: BIOINFORMÁTICA
Assuntos: BIOINFORMÁTICA, ALGORITMOS E ESTRUTURAS DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
POVEDA CUEVAS, Sergio Alejandro. Coarse-grained modeling with constant pH of the protein complexation phenomena. 2017. Dissertação (Mestrado) – Universidade de São Paulo, Ribeirão Preto, 2017. Disponível em: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-09062017-123617/. Acesso em: 03 ago. 2024.
APA
Poveda Cuevas, S. A. (2017). Coarse-grained modeling with constant pH of the protein complexation phenomena (Dissertação (Mestrado). Universidade de São Paulo, Ribeirão Preto. Recuperado de http://www.teses.usp.br/teses/disponiveis/95/95131/tde-09062017-123617/
NLM
Poveda Cuevas SA. Coarse-grained modeling with constant pH of the protein complexation phenomena [Internet]. 2017 ;[citado 2024 ago. 03 ] Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-09062017-123617/
Vancouver
Poveda Cuevas SA. Coarse-grained modeling with constant pH of the protein complexation phenomena [Internet]. 2017 ;[citado 2024 ago. 03 ] Available from: http://www.teses.usp.br/teses/disponiveis/95/95131/tde-09062017-123617/

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