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Synthesis and characterization of silica aerogel @ tio2 @ prussian blue and nanotitanate @ prussian blue nanocomposites (2021)
Mattos, Bianca Oliveira ; Ferreira Neto, Elias Paiva ; Perissinotto, Amanda Pasquoto ; Rodrigues Filho, Ubirajara Pereira
Source: Program. Conference titles: Brazil MRS Meeting. Unidades: IQSC, EACH, EESC
Subjects: FOTOCATÁLISE, NANOCOMPOSITOS
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ABNT
MATTOS, Bianca Oliveira et al. Synthesis and characterization of silica aerogel @ tio2 @ prussian blue and nanotitanate @ prussian blue nanocomposites. 2021, Anais.. Rio de Janeiro: Instituto de Química de São Carlos, Universidade de São Paulo, 2021. Disponível em: https://www.sbpmat.org.br/19encontro/. Acesso em: 13 set. 2024.
APA
Mattos, B. O., Ferreira Neto, E. P., Perissinotto, A. P., & Rodrigues Filho, U. P. (2021). Synthesis and characterization of silica aerogel @ tio2 @ prussian blue and nanotitanate @ prussian blue nanocomposites. In Program. Rio de Janeiro: Instituto de Química de São Carlos, Universidade de São Paulo. Recuperado de https://www.sbpmat.org.br/19encontro/
NLM
Mattos BO, Ferreira Neto EP, Perissinotto AP, Rodrigues Filho UP. Synthesis and characterization of silica aerogel @ tio2 @ prussian blue and nanotitanate @ prussian blue nanocomposites [Internet]. Program. 2021 ;[citado 2024 set. 13 ] Available from: https://www.sbpmat.org.br/19encontro/
Vancouver
Mattos BO, Ferreira Neto EP, Perissinotto AP, Rodrigues Filho UP. Synthesis and characterization of silica aerogel @ tio2 @ prussian blue and nanotitanate @ prussian blue nanocomposites [Internet]. Program. 2021 ;[citado 2024 set. 13 ] Available from: https://www.sbpmat.org.br/19encontro/
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
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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: 13 set. 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 set. 13 ] 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 set. 13 ] Available from: https://doi.org/10.1007/s11224-021-01742-w
Artigo de periodico
A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents (2021)
Santos, Genisson R.; Chiari, Laise Pellegrini Alencar ; Silva, Aldineia P. da; Lipinski, Célio Fernando ; Oliveira, Aline A.; Honório, Káthia Maria ; Sousa, Alexsandro Gama de; Silva, Alberico Borges Ferreira da
Source: Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods. Unidades: EACH, IQSC
Subjects: DEPRESSÃO, ANTIDEPRESSIVOS
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ABNT
SANTOS, Genisson R. et al. A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods, p. 297, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00894-021-04906-x. Acesso em: 13 set. 2024.
APA
Santos, G. R., Chiari, L. P. A., Silva, A. P. da, Lipinski, C. F., Oliveira, A. A., Honório, K. M., et al. (2021). A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods, 297. doi:10.1007/s00894-021-04906-x
NLM
Santos GR, Chiari LPA, Silva AP da, Lipinski CF, Oliveira AA, Honório KM, Sousa AG de, Silva ABF da. A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents [Internet]. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods. 2021 ;297.[citado 2024 set. 13 ] Available from: https://doi.org/10.1007/s00894-021-04906-x
Vancouver
Santos GR, Chiari LPA, Silva AP da, Lipinski CF, Oliveira AA, Honório KM, Sousa AG de, Silva ABF da. A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents [Internet]. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods. 2021 ;297.[citado 2024 set. 13 ] Available from: https://doi.org/10.1007/s00894-021-04906-x
Artigo de periodico
Drug design of new sigma-1 antagonists against neuropathic pain: A QSAR study using partial least squares and artificial neural networks (2021)
Chiari, Laise Pellegrini Alencar; Silva, Aldineia Pereira da; Oliveira, Aline A; Lipinski, Célio Fernando ; Honório, Káthia Maria ; Silva, Alberico Borges Ferreira da
Source: Journal of Molecular Structure. Unidades: EACH, IQSC
Subjects: QUALIDADE DE VIDA, NEUROLOGIA
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ABNT
CHIARI, Laise Pellegrini Alencar et al. Drug design of new sigma-1 antagonists against neuropathic pain: A QSAR study using partial least squares and artificial neural networks. Journal of Molecular Structure, v. 1223, p. 129156, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.molstruc.2020.129156. Acesso em: 13 set. 2024.
APA
Chiari, L. P. A., Silva, A. P. da, Oliveira, A. A., Lipinski, C. F., Honório, K. M., & Silva, A. B. F. da. (2021). Drug design of new sigma-1 antagonists against neuropathic pain: A QSAR study using partial least squares and artificial neural networks. Journal of Molecular Structure, 1223, 129156. doi:10.1016/j.molstruc.2020.129156
NLM
Chiari LPA, Silva AP da, Oliveira AA, Lipinski CF, Honório KM, Silva ABF da. Drug design of new sigma-1 antagonists against neuropathic pain: A QSAR study using partial least squares and artificial neural networks [Internet]. Journal of Molecular Structure. 2021 ; 1223 129156.[citado 2024 set. 13 ] Available from: https://doi.org/10.1016/j.molstruc.2020.129156
Vancouver
Chiari LPA, Silva AP da, Oliveira AA, Lipinski CF, Honório KM, Silva ABF da. Drug design of new sigma-1 antagonists against neuropathic pain: A QSAR study using partial least squares and artificial neural networks [Internet]. Journal of Molecular Structure. 2021 ; 1223 129156.[citado 2024 set. 13 ] Available from: https://doi.org/10.1016/j.molstruc.2020.129156
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: 13 set. 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 set. 13 ] 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 set. 13 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844

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