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Artigo de periodico
Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease (2024)
Sousa, Daniel da Silva de ; Silva, Aldineia Pereira da ; Chiari, Laise Pellegrini Alencar ; Angelo, Rafaela M. de; Sousa, Alexsandro G. de; Honorio, Kathia Maria ; Silva, Alberico Borges Ferreira da
Source: Journal of Molecular Modeling. Unidades: EACH, IQSC
Subjects: DOENÇA DE ALZHEIMER, ANTAGONISTAS
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SOUSA, Daniel da Silva de et al. Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease. Journal of Molecular Modeling, v. 30, p. 350, 2024Tradução . . Disponível em: https://doi.org/10.1007/s00894-024-06134-5. Acesso em: 14 nov. 2024.
APA
Sousa, D. da S. de, Silva, A. P. da, Chiari, L. P. A., Angelo, R. M. de, Sousa, A. G. de, Honorio, K. M., & Silva, A. B. F. da. (2024). Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease. Journal of Molecular Modeling, 30, 350. doi:10.1007/s00894-024-06134-5
NLM
Sousa D da S de, Silva AP da, Chiari LPA, Angelo RM de, Sousa AG de, Honorio KM, Silva ABF da. Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease [Internet]. Journal of Molecular Modeling. 2024 ;30 350.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s00894-024-06134-5
Vancouver
Sousa D da S de, Silva AP da, Chiari LPA, Angelo RM de, Sousa AG de, Honorio KM, Silva ABF da. Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease [Internet]. Journal of Molecular Modeling. 2024 ;30 350.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s00894-024-06134-5
Artigo de periodico
A PLS study on the psychotropic activity for a series of cannabinoid compounds (2023)
Chiari, Laise Pellegrini Alencar ; Silva, Aldineia Pereira da ; Honorio, Kathia Maria ; Silva, Alberico Borges Ferreira da
Source: Journal of Molecular Modeling. Unidades: EACH, IQSC
Subjects: FÁRMACOS PSICOTRÓPICOS, CANABINOIDES, RECEPTORES, PROTEÍNAS, RELAÇÕES QUANTITATIVAS ENTRE ESTRUTURA QUÍMICA E ATIVIDADE BIOLÓGICA
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CHIARI, Laise Pellegrini Alencar et al. A PLS study on the psychotropic activity for a series of cannabinoid compounds. Journal of Molecular Modeling, v. 29, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00894-023-05443-5. Acesso em: 14 nov. 2024.
APA
Chiari, L. P. A., Silva, A. P. da, Honorio, K. M., & Silva, A. B. F. da. (2023). A PLS study on the psychotropic activity for a series of cannabinoid compounds. Journal of Molecular Modeling, 29. doi:10.1007/s00894-023-05443-5
NLM
Chiari LPA, Silva AP da, Honorio KM, Silva ABF da. A PLS study on the psychotropic activity for a series of cannabinoid compounds [Internet]. Journal of Molecular Modeling. 2023 ; 29[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s00894-023-05443-5
Vancouver
Chiari LPA, Silva AP da, Honorio KM, Silva ABF da. A PLS study on the psychotropic activity for a series of cannabinoid compounds [Internet]. Journal of Molecular Modeling. 2023 ; 29[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s00894-023-05443-5
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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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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1007/s00894-021-04906-x
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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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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1007/s11224-021-01742-w
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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] 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
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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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844
Artigo de periodico
Drug design of new 5-HT6 antagonists: a QSAR study of arylsulfonamide derivatives (2020)
Silva, Aldineia Pereira da; Angelo, Rafaela Machado de; Paula, Heberth De; Honório, Káthia Maria ; Silva, Alberico Borges Ferreira da
Source: Structural Chemistry: computational and experimental studies of chemical and biological systems. Unidades: EACH, IQSC
Assunto: QUÍMICA MÉDICA
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ABNT
SILVA, Aldineia Pereira da et al. Drug design of new 5-HT6 antagonists: a QSAR study of arylsulfonamide derivatives. Structural Chemistry: computational and experimental studies of chemical and biological systems, v. 31, p. 1585–1597, 2020Tradução . . Disponível em: https://doi.org/10.1007/s11224-020-01513-z. Acesso em: 14 nov. 2024.
APA
Silva, A. P. da, Angelo, R. M. de, Paula, H. D., Honório, K. M., & Silva, A. B. F. da. (2020). Drug design of new 5-HT6 antagonists: a QSAR study of arylsulfonamide derivatives. Structural Chemistry: computational and experimental studies of chemical and biological systems, 31, 1585–1597. doi:10.1007/s11224-020-01513-z
NLM
Silva AP da, Angelo RM de, Paula HD, Honório KM, Silva ABF da. Drug design of new 5-HT6 antagonists: a QSAR study of arylsulfonamide derivatives [Internet]. Structural Chemistry: computational and experimental studies of chemical and biological systems. 2020 ; 31 1585–1597.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11224-020-01513-z
Vancouver
Silva AP da, Angelo RM de, Paula HD, Honório KM, Silva ABF da. Drug design of new 5-HT6 antagonists: a QSAR study of arylsulfonamide derivatives [Internet]. Structural Chemistry: computational and experimental studies of chemical and biological systems. 2020 ; 31 1585–1597.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11224-020-01513-z
Artigo de periodico
Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery (2019)
Lipinski, Célio Fernando ; Maltarollo, Vinícius Gonçalves ; Oliveira, Patrícia Rufino; Silva, Alberico Borges Ferreira da ; Honório, Káthia Maria
Source: Frontiers in Robotics and AI. Unidades: IQSC, EACH
Subjects: INTELIGÊNCIA ARTIFICIAL, QUÍMICA MÉDICA, QUÍMICA FARMACÊUTICA, PLANEJAMENTO DE FÁRMACOS
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LIPINSKI, Célio Fernando et al. Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery. Frontiers in Robotics and AI, v. no 2019, p. 01-06, 2019Tradução . . Disponível em: https://doi.org/10.3389/frobt.2019.00108. Acesso em: 14 nov. 2024.
APA
Lipinski, C. F., Maltarollo, V. G., Oliveira, P. R., Silva, A. B. F. da, & Honório, K. M. (2019). Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery. Frontiers in Robotics and AI, no 2019, 01-06. doi:10.3389/frobt.2019.00108
NLM
Lipinski CF, Maltarollo VG, Oliveira PR, Silva ABF da, Honório KM. Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery [Internet]. Frontiers in Robotics and AI. 2019 ; no 2019 01-06.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3389/frobt.2019.00108
Vancouver
Lipinski CF, Maltarollo VG, Oliveira PR, Silva ABF da, Honório KM. Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery [Internet]. Frontiers in Robotics and AI. 2019 ; no 2019 01-06.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3389/frobt.2019.00108
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
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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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1007/s11224-017-1072-2
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
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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: 14 nov. 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 nov. 14 ] 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 nov. 14 ] Available from: https://doi.org/10.1007/s00894-017-3444-3
Artigo de periodico
Molecular features related to HIV integrase inhibition obtained from structure- and ligand-based approaches (2014)
Carvalho, Luciana L de; Maltarollo, Vinícius Gonçalves; Lima, Emmanuela Ferreira de; Weber, Karen Cacilda; Honório, Kathia Maria; Silva, Alberico Borges Ferreira da
Source: PLoS ONE. Unidades: EACH, IQSC
Subjects: RELAÇÕES QUANTITATIVAS ENTRE ESTRUTURA QUÍMICA E ATIVIDADE BIOLÓGICA, HIV
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CARVALHO, Luciana L de et al. Molecular features related to HIV integrase inhibition obtained from structure- and ligand-based approaches. PLoS ONE, v. 9, n. ja 2014, p. e81301-1 - e81301-9, 2014Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0081301. Acesso em: 14 nov. 2024.
APA
Carvalho, L. L. de, Maltarollo, V. G., Lima, E. F. de, Weber, K. C., Honório, K. M., & Silva, A. B. F. da. (2014). Molecular features related to HIV integrase inhibition obtained from structure- and ligand-based approaches. PLoS ONE, 9( ja 2014), e81301-1 - e81301-9. doi:10.1371/journal.pone.0081301
NLM
Carvalho LL de, Maltarollo VG, Lima EF de, Weber KC, Honório KM, Silva ABF da. Molecular features related to HIV integrase inhibition obtained from structure- and ligand-based approaches [Internet]. PLoS ONE. 2014 ; 9( ja 2014): e81301-1 - e81301-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1371/journal.pone.0081301
Vancouver
Carvalho LL de, Maltarollo VG, Lima EF de, Weber KC, Honório KM, Silva ABF da. Molecular features related to HIV integrase inhibition obtained from structure- and ligand-based approaches [Internet]. PLoS ONE. 2014 ; 9( ja 2014): e81301-1 - e81301-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1371/journal.pone.0081301
Artigo de periodico
Pattern recognition techniques applied to the study of leishmanial glyceraldehyde-3-phosphate dehydrogenase inhibition (2014)
Lozano, Norka B. H. Lozano; Oliveira, Rafael F.; Weber, Karen C.; Honório, Kathia Maria; Guido, Rafael Victorio Carvalho ; Andricopulo, Adriano Defini ; Sousa, Alexsandro G.; Silva, Alberico Borges Ferreira da
Source: International Journal of Molecular Sciences. Unidades: EACH, IFSC, IQSC
Subjects: BIOQUÍMICA, RECONHECIMENTO DE PADRÕES
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ABNT
LOZANO, Norka B. H. Lozano et al. Pattern recognition techniques applied to the study of leishmanial glyceraldehyde-3-phosphate dehydrogenase inhibition. International Journal of Molecular Sciences, v. 15, n. 2, p. 3186-3203, 2014Tradução . . Disponível em: https://doi.org/10.3390/ijms15023186. Acesso em: 14 nov. 2024.
APA
Lozano, N. B. H. L., Oliveira, R. F., Weber, K. C., Honório, K. M., Guido, R. V. C., Andricopulo, A. D., et al. (2014). Pattern recognition techniques applied to the study of leishmanial glyceraldehyde-3-phosphate dehydrogenase inhibition. International Journal of Molecular Sciences, 15( 2), 3186-3203. doi:10.3390/ijms15023186
NLM
Lozano NBHL, Oliveira RF, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Sousa AG, Silva ABF da. Pattern recognition techniques applied to the study of leishmanial glyceraldehyde-3-phosphate dehydrogenase inhibition [Internet]. International Journal of Molecular Sciences. 2014 ; 15( 2): 3186-3203.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/ijms15023186
Vancouver
Lozano NBHL, Oliveira RF, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Sousa AG, Silva ABF da. Pattern recognition techniques applied to the study of leishmanial glyceraldehyde-3-phosphate dehydrogenase inhibition [Internet]. International Journal of Molecular Sciences. 2014 ; 15( 2): 3186-3203.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/ijms15023186
Artigo de periodico
Understanding the molecular aspects of tetrahydrocannabinol and cannabidiol as antioxidants (2013)
Borges, Rosivaldo S; Batista Jr., João; Viana, Rommel Bezerra; Baetas, Ana C; Orestes, Ednilsom; Andrade, Marcieni A; Honório, Kathia Maria; Silva, Alberico Borges Ferreira da
Source: Molecules. Unidades: EACH, IQSC
Subjects: RELAÇÕES ESTRUTURA-ATIVIDADE, CANNABIS
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BORGES, Rosivaldo S et al. Understanding the molecular aspects of tetrahydrocannabinol and cannabidiol as antioxidants. Molecules, v. 18, n. 10, p. 12663-12674, 2013Tradução . . Disponível em: https://doi.org/10.3390/molecules181012663. Acesso em: 14 nov. 2024.
APA
Borges, R. S., Batista Jr., J., Viana, R. B., Baetas, A. C., Orestes, E., Andrade, M. A., et al. (2013). Understanding the molecular aspects of tetrahydrocannabinol and cannabidiol as antioxidants. Molecules, 18( 10), 12663-12674. doi:10.3390/molecules181012663
NLM
Borges RS, Batista Jr. J, Viana RB, Baetas AC, Orestes E, Andrade MA, Honório KM, Silva ABF da. Understanding the molecular aspects of tetrahydrocannabinol and cannabidiol as antioxidants [Internet]. Molecules. 2013 ; 18( 10): 12663-12674.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/molecules181012663
Vancouver
Borges RS, Batista Jr. J, Viana RB, Baetas AC, Orestes E, Andrade MA, Honório KM, Silva ABF da. Understanding the molecular aspects of tetrahydrocannabinol and cannabidiol as antioxidants [Internet]. Molecules. 2013 ; 18( 10): 12663-12674.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/molecules181012663
Artigo de periodico
Identification of electronic and structural descriptors of adenosine analogues related to inhibition of leishmanial glyceraldehyde-3-phosphate dehydrogenase (2013)
Lozano, Norka B. H.; Oliveira, Rafael F.; Weber, Karen C.; Honório, Kathia Maria; Guido, Rafael Victorio Carvalho ; Andricopulo, Adriano Defini ; Silva, Alberico Borges Ferreira da
Source: Molecules. Unidades: EACH, IFSC, IQSC
Subjects: ENZIMAS, LEISHMANIA (CONTROLE), MALÁRIA (TRATAMENTO)
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ABNT
LOZANO, Norka B. H. et al. Identification of electronic and structural descriptors of adenosine analogues related to inhibition of leishmanial glyceraldehyde-3-phosphate dehydrogenase. Molecules, v. 18, n. 5, p. 5032-5050, 2013Tradução . . Disponível em: https://doi.org/10.3390/molecules18055032. Acesso em: 14 nov. 2024.
APA
Lozano, N. B. H., Oliveira, R. F., Weber, K. C., Honório, K. M., Guido, R. V. C., Andricopulo, A. D., & Silva, A. B. F. da. (2013). Identification of electronic and structural descriptors of adenosine analogues related to inhibition of leishmanial glyceraldehyde-3-phosphate dehydrogenase. Molecules, 18( 5), 5032-5050. doi:10.3390/molecules18055032
NLM
Lozano NBH, Oliveira RF, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Silva ABF da. Identification of electronic and structural descriptors of adenosine analogues related to inhibition of leishmanial glyceraldehyde-3-phosphate dehydrogenase [Internet]. Molecules. 2013 ; 18( 5): 5032-5050.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/molecules18055032
Vancouver
Lozano NBH, Oliveira RF, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Silva ABF da. Identification of electronic and structural descriptors of adenosine analogues related to inhibition of leishmanial glyceraldehyde-3-phosphate dehydrogenase [Internet]. Molecules. 2013 ; 18( 5): 5032-5050.[citado 2024 nov. 14 ] Available from: https://doi.org/10.3390/molecules18055032
Artigo de periodico
Machine learning techniques and drug design (2012)
Gertrudes, J. C; Maltarollo, Vinícius Gonçalves; Silva, R. A.; Oliveira, Patricia Rufino; Honório, Kathia Maria; Silva, Alberico Borges Ferreira da
Source: Current Medicinal Chemistry. Unidades: IQSC, EACH
Assunto: ESTRUTURA MOLECULAR (QUÍMICA TEÓRICA)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GERTRUDES, J. C et al. Machine learning techniques and drug design. Current Medicinal Chemistry, v. 19, n. 25, p. 4289-4297, 2012Tradução . . Disponível em: http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007. Acesso em: 14 nov. 2024.
APA
Gertrudes, J. C., Maltarollo, V. G., Silva, R. A., Oliveira, P. R., Honório, K. M., & Silva, A. B. F. da. (2012). Machine learning techniques and drug design. Current Medicinal Chemistry, 19( 25), 4289-4297. Recuperado de http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007
NLM
Gertrudes JC, Maltarollo VG, Silva RA, Oliveira PR, Honório KM, Silva ABF da. Machine learning techniques and drug design [Internet]. Current Medicinal Chemistry. 2012 ; 19( 25): 4289-4297.[citado 2024 nov. 14 ] Available from: http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007
Vancouver
Gertrudes JC, Maltarollo VG, Silva RA, Oliveira PR, Honório KM, Silva ABF da. Machine learning techniques and drug design [Internet]. Current Medicinal Chemistry. 2012 ; 19( 25): 4289-4297.[citado 2024 nov. 14 ] Available from: http://www.ingentaconnect-com.ez67.periodicos.capes.gov.br/content/ben/cmc/2012/00000019/00000025/art00007
Artigo de periodico
Theoretical models for the antitrypanosomal activity of thiosemicarbazone derivatives (2012)
Lozano, Norka Beatriz Huaman; Weber, Karen Cacilda; Honório, Kathia Maria; Guido, Rafael Victorio Carvalho ; Andricopulo, Adriano Defini ; Silva, Alberico Borges Ferreira da
Source: International Journal of Quantum Chemistry. Unidades: EACH, IFSC, IQSC
Assunto: QUÍMICA TEÓRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOZANO, Norka Beatriz Huaman et al. Theoretical models for the antitrypanosomal activity of thiosemicarbazone derivatives. International Journal of Quantum Chemistry, v. 112, n. 20, p. 3364-3370, 2012Tradução . . Disponível em: https://doi.org/10.1002/qua.24213. Acesso em: 14 nov. 2024.
APA
Lozano, N. B. H., Weber, K. C., Honório, K. M., Guido, R. V. C., Andricopulo, A. D., & Silva, A. B. F. da. (2012). Theoretical models for the antitrypanosomal activity of thiosemicarbazone derivatives. International Journal of Quantum Chemistry, 112( 20), 3364-3370. doi:10.1002/qua.24213
NLM
Lozano NBH, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Silva ABF da. Theoretical models for the antitrypanosomal activity of thiosemicarbazone derivatives [Internet]. International Journal of Quantum Chemistry. 2012 ; 112( 20): 3364-3370.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1002/qua.24213
Vancouver
Lozano NBH, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Silva ABF da. Theoretical models for the antitrypanosomal activity of thiosemicarbazone derivatives [Internet]. International Journal of Quantum Chemistry. 2012 ; 112( 20): 3364-3370.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1002/qua.24213
Artigo de periodico
Molecular features for antitrypanosomal activity of thiosemicarbazones revealed by OPS-PLS QSAR studies (2012)
Lozano, Norka Beatriz Huamán; Maltarollo, Vinícius Gonçalves; Weber, Karen Cacilda; Honório, Káthia Maria; Guido, Rafael Victorio Carvalho ; Andricopulo, Adriano Defini ; Silva, Alberico Borges Ferreira da
Source: Medicinal Chemistry. Unidades: EACH, IFSC, IQSC
Subjects: QUÍMICA MÉDICA, TRIPANOSSOMICIDAS, MODELAGEM MOLECULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOZANO, Norka Beatriz Huamán et al. Molecular features for antitrypanosomal activity of thiosemicarbazones revealed by OPS-PLS QSAR studies. Medicinal Chemistry, v. No 2012, n. 6, p. 1045-1056, 2012Tradução . . Disponível em: https://doi.org/10.2174/157340612804075043. Acesso em: 14 nov. 2024.
APA
Lozano, N. B. H., Maltarollo, V. G., Weber, K. C., Honório, K. M., Guido, R. V. C., Andricopulo, A. D., & Silva, A. B. F. da. (2012). Molecular features for antitrypanosomal activity of thiosemicarbazones revealed by OPS-PLS QSAR studies. Medicinal Chemistry, No 2012( 6), 1045-1056. doi:10.2174/157340612804075043
NLM
Lozano NBH, Maltarollo VG, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Silva ABF da. Molecular features for antitrypanosomal activity of thiosemicarbazones revealed by OPS-PLS QSAR studies [Internet]. Medicinal Chemistry. 2012 ; No 2012( 6): 1045-1056.[citado 2024 nov. 14 ] Available from: https://doi.org/10.2174/157340612804075043
Vancouver
Lozano NBH, Maltarollo VG, Weber KC, Honório KM, Guido RVC, Andricopulo AD, Silva ABF da. Molecular features for antitrypanosomal activity of thiosemicarbazones revealed by OPS-PLS QSAR studies [Internet]. Medicinal Chemistry. 2012 ; No 2012( 6): 1045-1056.[citado 2024 nov. 14 ] Available from: https://doi.org/10.2174/157340612804075043
Parte de monografia/livro
Forças intermoleculares e a interação fármaco-receptor (2011)
Honório, Kathia Maria; Silva, Alberico Borges Ferreira da
Source: Química medicinal: métodos e fundamentos em planejamento de fármacos. Unidades: EACH, IQSC
Subjects: QUÍMICA MÉDICA, QUÍMICA FARMACÊUTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HONÓRIO, Kathia Maria e SILVA, Alberico Borges Ferreira da. Forças intermoleculares e a interação fármaco-receptor. Química medicinal: métodos e fundamentos em planejamento de fármacos. Tradução . São Paulo: Edusp, 2011. . . Acesso em: 14 nov. 2024.
APA
Honório, K. M., & Silva, A. B. F. da. (2011). Forças intermoleculares e a interação fármaco-receptor. In Química medicinal: métodos e fundamentos em planejamento de fármacos. São Paulo: Edusp.
NLM
Honório KM, Silva ABF da. Forças intermoleculares e a interação fármaco-receptor. In: Química medicinal: métodos e fundamentos em planejamento de fármacos. São Paulo: Edusp; 2011. [citado 2024 nov. 14 ]
Vancouver
Honório KM, Silva ABF da. Forças intermoleculares e a interação fármaco-receptor. In: Química medicinal: métodos e fundamentos em planejamento de fármacos. São Paulo: Edusp; 2011. [citado 2024 nov. 14 ]
Trabalho de evento-resumo
Molecular modeling of the interactions between cannabinoid compounds and the CB1 receptor (2011)
Weber, Karen Cacilda; Lima, Emmanuela Ferreira de; Silva, Alberico Borges Ferreira da ; Honório, Kathia Maria
Source: Livro de resumos. Conference titles: Simpósio Brasileiro de Química Teórica - SBQT. Unidades: IQSC, EACH
Assunto: QUÍMICA TEÓRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WEBER, Karen Cacilda et al. Molecular modeling of the interactions between cannabinoid compounds and the CB1 receptor. 2011, Anais.. Belo Horizonte: Universidade Federal de Minas Gerais, 2011. . Acesso em: 14 nov. 2024.
APA
Weber, K. C., Lima, E. F. de, Silva, A. B. F. da, & Honório, K. M. (2011). Molecular modeling of the interactions between cannabinoid compounds and the CB1 receptor. In Livro de resumos. Belo Horizonte: Universidade Federal de Minas Gerais.
NLM
Weber KC, Lima EF de, Silva ABF da, Honório KM. Molecular modeling of the interactions between cannabinoid compounds and the CB1 receptor. Livro de resumos. 2011 ;[citado 2024 nov. 14 ]
Vancouver
Weber KC, Lima EF de, Silva ABF da, Honório KM. Molecular modeling of the interactions between cannabinoid compounds and the CB1 receptor. Livro de resumos. 2011 ;[citado 2024 nov. 14 ]
Artigo de periodico
Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds (2010)
Honório, Kathia Maria; Lima, Emmanuela Ferreira de; Quiles, Marcos Gonçalves; Romero, Roseli Aparecida Francelin ; Molfetta, Fábio Alberto de; Silva, Alberico Borges Ferreira da
Source: Chemical Biology & Drug Design. Unidades: ICMC, EACH, IQSC
Subjects: CANNABINOIDS, ESTRUTURA QUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HONÓRIO, Kathia Maria et al. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds. Chemical Biology & Drug Design, v. 75, n. 6, p. 632-640, 2010Tradução . . Disponível em: https://doi.org/10.1111/j.1747-0285.2010.00966.x. Acesso em: 14 nov. 2024.
APA
Honório, K. M., Lima, E. F. de, Quiles, M. G., Romero, R. A. F., Molfetta, F. A. de, & Silva, A. B. F. da. (2010). Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds. Chemical Biology & Drug Design, 75( 6), 632-640. doi:10.1111/j.1747-0285.2010.00966.x
NLM
Honório KM, Lima EF de, Quiles MG, Romero RAF, Molfetta FA de, Silva ABF da. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds [Internet]. Chemical Biology & Drug Design. 2010 ; 75( 6): 632-640.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1111/j.1747-0285.2010.00966.x
Vancouver
Honório KM, Lima EF de, Quiles MG, Romero RAF, Molfetta FA de, Silva ABF da. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds [Internet]. Chemical Biology & Drug Design. 2010 ; 75( 6): 632-640.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1111/j.1747-0285.2010.00966.x

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