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Filtros : "IQSC" "EACH-SIN-86" Removido: "Silva, R. A." Limpar

Filtros

USP affiliated authors
- honorio, káthia maria (~2)
- oliveira, patrícia rufino (~2)
- silva, albérico borges ferreira da (~2)
- romero, roseli aparecida francelin (~1)
Date published
- 2018 (~1)
- 2017 (~1)
Subjects
- biologia molecular (1)
- farmacologia molecular (1)
- microtúbulos (1)
- modelos (análise multivariada) (1)
- neoplasias (1)

Artigo de periodico
New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists (2017)
Oliveira, Aline A; Lipinski, Célio F; Pereira, Estevão B; Honório, Káthia Maria; Oliveira, Patrícia Rufino; Weber, Karen C; Romero, Roseli Aparecida Francelin; Sousa, Alexsandro G. de; Silva, Alberico Borges Ferreira da
Source: Journal of Molecular Modeling. Unidades: EACH, ICMC, IQSC
Subjects: FARMACOLOGIA MOLECULAR, RECEPTORES, MODELOS (ANÁLISE MULTIVARIADA), REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Aline A et al. New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists. Journal of Molecular Modeling, v. 23, p. 1-15, 2017Tradução . . Disponível em: https://doi.org/10.1007/s00894-017-3444-3. Acesso em: 11 maio 2024.
APA
Oliveira, A. A., Lipinski, C. F., Pereira, E. B., Honório, K. M., Oliveira, P. R., Weber, K. C., et al. (2017). New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists. Journal of Molecular Modeling, 23, 1-15. doi:10.1007/s00894-017-3444-3
NLM
Oliveira AA, Lipinski CF, Pereira EB, Honório KM, Oliveira PR, Weber KC, Romero RAF, Sousa AG de, Silva ABF da. New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists [Internet]. Journal of Molecular Modeling. 2017 ; 23 1-15.[citado 2024 maio 11 ] Available from: https://doi.org/10.1007/s00894-017-3444-3
Vancouver
Oliveira AA, Lipinski CF, Pereira EB, Honório KM, Oliveira PR, Weber KC, Romero RAF, Sousa AG de, Silva ABF da. New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists [Internet]. Journal of Molecular Modeling. 2017 ; 23 1-15.[citado 2024 maio 11 ] Available from: https://doi.org/10.1007/s00894-017-3444-3
Artigo de periodico
A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models (2018)
Lipinski, Célio Fernando; Oliveira, Aline Alves; Honorio, Kathia Maria; Oliveira, Patrícia Rufino; Silva, Alberico Borges Ferreira da
Source: Structural Chemistry: computational and experimental studies of chemical and biological systems. Unidades: EACH, IQSC
Subjects: MICROTÚBULOS, NEOPLASIAS, BIOLOGIA MOLECULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIPINSKI, Célio Fernando et al. A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models. Structural Chemistry: computational and experimental studies of chemical and biological systems, v. 29, p. 01-09, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11224-017-1072-2. Acesso em: 11 maio 2024.
APA
Lipinski, C. F., Oliveira, A. A., Honorio, K. M., Oliveira, P. R., & Silva, A. B. F. da. (2018). A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models. Structural Chemistry: computational and experimental studies of chemical and biological systems, 29, 01-09. doi:10.1007/s11224-017-1072-2
NLM
Lipinski CF, Oliveira AA, Honorio KM, Oliveira PR, Silva ABF da. A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models [Internet]. Structural Chemistry: computational and experimental studies of chemical and biological systems. 2018 ; 29 01-09.[citado 2024 maio 11 ] Available from: https://doi.org/10.1007/s11224-017-1072-2
Vancouver
Lipinski CF, Oliveira AA, Honorio KM, Oliveira PR, Silva ABF da. A molecular modeling study of combretastatin-like chalcones as anticancer agents using PLS, ANN and consensus models [Internet]. Structural Chemistry: computational and experimental studies of chemical and biological systems. 2018 ; 29 01-09.[citado 2024 maio 11 ] Available from: https://doi.org/10.1007/s11224-017-1072-2

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