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Artigo de periodico
New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie (2021)
Silva, Aldineia Pereira da ; Chiari, Laise Pellegrini Alencar ; Guimaraes, Amanda Ribeiro ; Honório, Káthia Maria ; Silva, Alberico Borges Ferreira da
Source: Structural Chemistry. Unidades: EACH, IQSC
Subjects: ESQUIZOFRENIA, QUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Aldineia Pereira da et al. New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie. Structural Chemistry, v. 32, p. 2019–2033, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11224-021-01742-w. Acesso em: 29 ago. 2024.
APA
Silva, A. P. da, Chiari, L. P. A., Guimaraes, A. R., Honório, K. M., & Silva, A. B. F. da. (2021). New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie. Structural Chemistry, 32, 2019–2033. doi:10.1007/s11224-021-01742-w
NLM
Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie [Internet]. Structural Chemistry. 2021 ; 32 2019–2033.[citado 2024 ago. 29 ] Available from: https://doi.org/10.1007/s11224-021-01742-w
Vancouver
Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie [Internet]. Structural Chemistry. 2021 ; 32 2019–2033.[citado 2024 ago. 29 ] Available from: https://doi.org/10.1007/s11224-021-01742-w
Artigo de periodico
Generation, contraction, and polarisation of Gaussian basis sets for atomic and molecular calculations using the generator coordinate method with polynomial discretisation: atoms from Na through Cl (2021)
Guimaraes, Amanda Ribeiro ; Barbosa, Rugles C.; Tello, Ana Cristina Mora; Silva, Aldineia Pereira da ; Alves, Júlia M. A.; Maringolo, Milena Palhares; Silva, Alberico Borges Ferreira da
Source: Physical Chemistry Chemical Physics. Unidade: IQSC
Subjects: SÓDIO, CLORO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUIMARAES, Amanda Ribeiro et al. Generation, contraction, and polarisation of Gaussian basis sets for atomic and molecular calculations using the generator coordinate method with polynomial discretisation: atoms from Na through Cl. Physical Chemistry Chemical Physics, v. 23, 2021Tradução . . Disponível em: https://doi.org/10.1039/d1cp01879e. Acesso em: 29 ago. 2024.
APA
Guimaraes, A. R., Barbosa, R. C., Tello, A. C. M., Silva, A. P. da, Alves, J. M. A., Maringolo, M. P., & Silva, A. B. F. da. (2021). Generation, contraction, and polarisation of Gaussian basis sets for atomic and molecular calculations using the generator coordinate method with polynomial discretisation: atoms from Na through Cl. Physical Chemistry Chemical Physics, 23. doi:10.1039/d1cp01879e
NLM
Guimaraes AR, Barbosa RC, Tello ACM, Silva AP da, Alves JMA, Maringolo MP, Silva ABF da. Generation, contraction, and polarisation of Gaussian basis sets for atomic and molecular calculations using the generator coordinate method with polynomial discretisation: atoms from Na through Cl [Internet]. Physical Chemistry Chemical Physics. 2021 ; 23[citado 2024 ago. 29 ] Available from: https://doi.org/10.1039/d1cp01879e
Vancouver
Guimaraes AR, Barbosa RC, Tello ACM, Silva AP da, Alves JMA, Maringolo MP, Silva ABF da. Generation, contraction, and polarisation of Gaussian basis sets for atomic and molecular calculations using the generator coordinate method with polynomial discretisation: atoms from Na through Cl [Internet]. Physical Chemistry Chemical Physics. 2021 ; 23[citado 2024 ago. 29 ] Available from: https://doi.org/10.1039/d1cp01879e
Artigo de periodico
Drug design of new 5-HT6R antagonists aided by artificial neural networks (2021)
Silva, Aldineia Pereira da ; Chiari, Laise Pellegrini Alencar ; Guimaraes, Amanda Ribeiro ; Honório, Káthia Maria ; Silva, Alberico Borges Ferreira da
Source: Journal of Molecular Graphics and Modelling. Unidades: IQSC, EACH
Subjects: DOENÇA DE ALZHEIMER, HALOGÊNIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Aldineia Pereira da et al. Drug design of new 5-HT6R antagonists aided by artificial neural networks. Journal of Molecular Graphics and Modelling, v. 104, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jmgm.2021.107844. Acesso em: 29 ago. 2024.
APA
Silva, A. P. da, Chiari, L. P. A., Guimaraes, A. R., Honório, K. M., & Silva, A. B. F. da. (2021). Drug design of new 5-HT6R antagonists aided by artificial neural networks. Journal of Molecular Graphics and Modelling, 104. doi:10.1016/j.jmgm.2021.107844
NLM
Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. Drug design of new 5-HT6R antagonists aided by artificial neural networks [Internet]. Journal of Molecular Graphics and Modelling. 2021 ; 104[citado 2024 ago. 29 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844
Vancouver
Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. Drug design of new 5-HT6R antagonists aided by artificial neural networks [Internet]. Journal of Molecular Graphics and Modelling. 2021 ; 104[citado 2024 ago. 29 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844

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