Filtros : "Honório, Káthia Maria" "IQSC" Removidos: "Química Orgânica e Bológica" "CORROSÃO" "Giz, Martha Janete de" Limpar

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  • Source: Journal of Biomolecular Structure and Dynamics. Unidades: IQSC, EACH

    Subjects: POLUIÇÃO AMBIENTAL, RECEPTORES HORMONAIS

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      ALMEIDA, Michell de Oliveira e LANZA, Marcos Roberto de Vasconcelos e HONÓRIO, Káthia Maria. A study of possible substitutes for the endocrine disruptor DEHP in two hormone receptors. Journal of Biomolecular Structure and Dynamics, v. 40, n. 23, p. 12516–12525, 2022Tradução . . Disponível em: https://doi.org/10.1080/07391102.2021.1971566. Acesso em: 13 nov. 2024.
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      Almeida, M. de O., Lanza, M. R. de V., & Honório, K. M. (2022). A study of possible substitutes for the endocrine disruptor DEHP in two hormone receptors. Journal of Biomolecular Structure and Dynamics, 40( 23), 12516–12525. doi:10.1080/07391102.2021.1971566.
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      Almeida M de O, Lanza MR de V, Honório KM. A study of possible substitutes for the endocrine disruptor DEHP in two hormone receptors [Internet]. Journal of Biomolecular Structure and Dynamics. 2022 ; 40( 23): 12516–12525.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1080/07391102.2021.1971566.
    • Vancouver

      Almeida M de O, Lanza MR de V, Honório KM. A study of possible substitutes for the endocrine disruptor DEHP in two hormone receptors [Internet]. Journal of Biomolecular Structure and Dynamics. 2022 ; 40( 23): 12516–12525.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1080/07391102.2021.1971566.
  • Source: Current Topics in Medicinal Chemistry. Unidades: EACH, IQSC

    Subjects: LEUCEMIA, ENZIMAS, FÁRMACOS

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      RIBEIRO, Rayssa et al. Flavonoid Derivatives Targeting BCR-ABL Kinase: Semisynthesis, Molecular Dynamic Simulations and Enzymatic Inhibition. Current Topics in Medicinal Chemistry, v. 21, p. 1999-2017, 2021Tradução . . Disponível em: https://doi.org/10.2174/1568026621666210705170047. Acesso em: 13 nov. 2024.
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      Ribeiro, R., Eloy, M. A., Francisco, C. S., Javarini, C. l, Ayusso, G. M., Fonseca, V. da R., et al. (2021). Flavonoid Derivatives Targeting BCR-ABL Kinase: Semisynthesis, Molecular Dynamic Simulations and Enzymatic Inhibition. Current Topics in Medicinal Chemistry, 21, 1999-2017. doi:10.2174/1568026621666210705170047
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      Ribeiro R, Eloy MA, Francisco CS, Javarini C l, Ayusso GM, Fonseca V da R, Romão W, Regasini LO, Araujo SC, Almeida MO, Honório KM, Paula HD, Lacerda Júnior V, Morais PAB. Flavonoid Derivatives Targeting BCR-ABL Kinase: Semisynthesis, Molecular Dynamic Simulations and Enzymatic Inhibition [Internet]. Current Topics in Medicinal Chemistry. 2021 ; 21 1999-2017.[citado 2024 nov. 13 ] Available from: https://doi.org/10.2174/1568026621666210705170047
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      Ribeiro R, Eloy MA, Francisco CS, Javarini C l, Ayusso GM, Fonseca V da R, Romão W, Regasini LO, Araujo SC, Almeida MO, Honório KM, Paula HD, Lacerda Júnior V, Morais PAB. Flavonoid Derivatives Targeting BCR-ABL Kinase: Semisynthesis, Molecular Dynamic Simulations and Enzymatic Inhibition [Internet]. Current Topics in Medicinal Chemistry. 2021 ; 21 1999-2017.[citado 2024 nov. 13 ] Available from: https://doi.org/10.2174/1568026621666210705170047
  • Source: Medicinal Chemistry. Unidades: EACH, IQSC

    Subjects: PÂNCREAS, ENZIMAS, QUÍMICA MÉDICA

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      MARTINS, Michelle C.M.R. et al. In silico studies on the interaction between bioactive ligands and DPP-IV: insights on potential candidates for the treatment of type 2 diabetes mellitus. Medicinal Chemistry, v. 17, n. 3, p. 247-263, 2021Tradução . . Disponível em: https://doi.org/10.2174/1573406416666200129151256. Acesso em: 13 nov. 2024.
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      Martins, M. C. M. R., Pantaleão, S. Q., Almeida, M. de O., Weber, K. C., & Honório, K. M. (2021). In silico studies on the interaction between bioactive ligands and DPP-IV: insights on potential candidates for the treatment of type 2 diabetes mellitus. Medicinal Chemistry, 17( 3), 247-263. doi:10.2174/1573406416666200129151256
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      Martins MCMR, Pantaleão SQ, Almeida M de O, Weber KC, Honório KM. In silico studies on the interaction between bioactive ligands and DPP-IV: insights on potential candidates for the treatment of type 2 diabetes mellitus [Internet]. Medicinal Chemistry. 2021 ; 17( 3): 247-263.[citado 2024 nov. 13 ] Available from: https://doi.org/10.2174/1573406416666200129151256
    • Vancouver

      Martins MCMR, Pantaleão SQ, Almeida M de O, Weber KC, Honório KM. In silico studies on the interaction between bioactive ligands and DPP-IV: insights on potential candidates for the treatment of type 2 diabetes mellitus [Internet]. Medicinal Chemistry. 2021 ; 17( 3): 247-263.[citado 2024 nov. 13 ] Available from: https://doi.org/10.2174/1573406416666200129151256
  • 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: 13 nov. 2024.
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      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
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      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. 13 ] Available from: https://doi.org/10.1007/s00894-021-04906-x
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      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. 13 ] Available from: https://doi.org/10.1007/s00894-021-04906-x
  • 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: 13 nov. 2024.
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      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
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      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. 13 ] Available from: https://doi.org/10.1007/s11224-021-01742-w
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      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. 13 ] Available from: https://doi.org/10.1007/s11224-021-01742-w
  • Source: Journal of Molecular Structure. Unidades: EACH, IQSC

    Subjects: QUALIDADE DE VIDA, NEUROLOGIA

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      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 nov. 2024.
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      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
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      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. 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 nov. 13 ] Available from: https://doi.org/10.1016/j.molstruc.2020.129156
  • Source: Journal of Molecular Graphics and Modelling. Unidades: IQSC, EACH

    Subjects: DOENÇA DE ALZHEIMER, HALOGÊNIOS

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      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 nov. 2024.
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      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
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      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. 13 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844
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      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. 13 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844
  • Source: Journal of Electroanalytical Chemistry. Unidades: EACH, IQSC

    Subjects: PERÓXIDO DE HIDROGÊNIO, OXIDAÇÃO

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      LUCCHETTI, Lanna E.B. et al. Density functional theory studies of oxygen reduction reaction for hydrogen peroxide generation on Graphene-Based catalysts. Journal of Electroanalytical Chemistry, v. 895, p. 01-15, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jelechem.2021.115429. Acesso em: 13 nov. 2024.
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      Lucchetti, L. E. B., Almeida, M. de O., Almeida, J. M. de, Autreto, P. A. S., Honório, K. M., & Santos, M. C. dos. (2021). Density functional theory studies of oxygen reduction reaction for hydrogen peroxide generation on Graphene-Based catalysts. Journal of Electroanalytical Chemistry, 895, 01-15. doi:10.1016/j.jelechem.2021.115429
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      Lucchetti LEB, Almeida M de O, Almeida JM de, Autreto PAS, Honório KM, Santos MC dos. Density functional theory studies of oxygen reduction reaction for hydrogen peroxide generation on Graphene-Based catalysts [Internet]. Journal of Electroanalytical Chemistry. 2021 ; 895 01-15.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.jelechem.2021.115429
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      Lucchetti LEB, Almeida M de O, Almeida JM de, Autreto PAS, Honório KM, Santos MC dos. Density functional theory studies of oxygen reduction reaction for hydrogen peroxide generation on Graphene-Based catalysts [Internet]. Journal of Electroanalytical Chemistry. 2021 ; 895 01-15.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1016/j.jelechem.2021.115429
  • Source: Materials Advances. Unidades: IQSC, EACH, EESC

    Subjects: TRATAMENTO DE ÁGUAS RESIDUÁRIAS, COMPOSTOS ORGÂNICOS, PARACETAMOL, OXIGÊNIO

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      KRONKA, Matheus Schiavon et al. Tailoring the ORR selectivity for H2O2 electrogeneration by modification of Printex L6 carbon with 1,4-naphthoquinone. Materials Advances, v. 1, p. 1318-1329 2020, 2020Tradução . . Disponível em: https://doi.org/10.1039/D0MA00290A. Acesso em: 13 nov. 2024.
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      Kronka, M. S., Silva, F. L., Martins, A. S., Almeida, M. de O., Honório, K. M., & Lanza, M. R. de V. (2020). Tailoring the ORR selectivity for H2O2 electrogeneration by modification of Printex L6 carbon with 1,4-naphthoquinone. Materials Advances, 1, 1318-1329 2020. doi:10.1039/D0MA00290A
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      Kronka MS, Silva FL, Martins AS, Almeida M de O, Honório KM, Lanza MR de V. Tailoring the ORR selectivity for H2O2 electrogeneration by modification of Printex L6 carbon with 1,4-naphthoquinone [Internet]. Materials Advances. 2020 ; 1 1318-1329 2020.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1039/D0MA00290A
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      Kronka MS, Silva FL, Martins AS, Almeida M de O, Honório KM, Lanza MR de V. Tailoring the ORR selectivity for H2O2 electrogeneration by modification of Printex L6 carbon with 1,4-naphthoquinone [Internet]. Materials Advances. 2020 ; 1 1318-1329 2020.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1039/D0MA00290A
  • Source: Theoretical Chemistry Accounts. Unidades: EACH, IQSC

    Subjects: MECÂNICA QUÂNTICA, NEOPLASIAS MAMÁRIAS, INIBIÇÃO

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      ALMEIDA, Michell de Oliveira e FARIA, Sérgio H. D. M e HONÓRIO, Káthia Maria. An electronic point of view on the inhibition of ALK‑5 by bioactive candidates related to cancer. Theoretical Chemistry Accounts, v. 139, n. 91, p. 1-16 on line 06 May 2020, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00214-020-02602-2. Acesso em: 13 nov. 2024.
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      Almeida, M. de O., Faria, S. H. D. M., & Honório, K. M. (2020). An electronic point of view on the inhibition of ALK‑5 by bioactive candidates related to cancer. Theoretical Chemistry Accounts, 139( 91), 1-16 on line 06 May 2020. doi:10.1007/s00214-020-02602-2
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      Almeida M de O, Faria SHDM, Honório KM. An electronic point of view on the inhibition of ALK‑5 by bioactive candidates related to cancer [Internet]. Theoretical Chemistry Accounts. 2020 ; 139( 91): 1-16 on line 06 May 2020.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00214-020-02602-2
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      Almeida M de O, Faria SHDM, Honório KM. An electronic point of view on the inhibition of ALK‑5 by bioactive candidates related to cancer [Internet]. Theoretical Chemistry Accounts. 2020 ; 139( 91): 1-16 on line 06 May 2020.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/s00214-020-02602-2
  • Source: Structural Chemistry: computational and experimental studies of chemical and biological systems. Unidades: EACH, IQSC

    Assunto: QUÍMICA MÉDICA

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      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: 13 nov. 2024.
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      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
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      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. 13 ] 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. 13 ] Available from: https://doi.org/10.1007/s11224-020-01513-z
  • Source: Frontiers in Chemistry. Unidades: EACH, IQSC

    Subjects: NEOPLASIAS, PLANEJAMENTO DE FÁRMACOS, PROTEÍNAS, APOPTOSE

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      CARMO, Aline Lagoeiro do et al. Competition Between Phenothiazines and BH3 Peptide for the Binding Site of the Antiapoptotic BCL-2 Protein. Frontiers in Chemistry, v. 8, p. 235 Apr, 2020Tradução . . Disponível em: https://doi.org/10.3389/fchem.2020.00235. Acesso em: 13 nov. 2024.
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      Carmo, A. L. do, Bettanin, F., Almeida, M. O., Pantaleão, S. Q., Rodrigues, T., Homem-de-Mello, P., & Honório, K. M. (2020). Competition Between Phenothiazines and BH3 Peptide for the Binding Site of the Antiapoptotic BCL-2 Protein. Frontiers in Chemistry, 8, 235 Apr. doi:10.3389/fchem.2020.00235
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      Carmo AL do, Bettanin F, Almeida MO, Pantaleão SQ, Rodrigues T, Homem-de-Mello P, Honório KM. Competition Between Phenothiazines and BH3 Peptide for the Binding Site of the Antiapoptotic BCL-2 Protein [Internet]. Frontiers in Chemistry. 2020 ; 8 235 Apr.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fchem.2020.00235
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      Carmo AL do, Bettanin F, Almeida MO, Pantaleão SQ, Rodrigues T, Homem-de-Mello P, Honório KM. Competition Between Phenothiazines and BH3 Peptide for the Binding Site of the Antiapoptotic BCL-2 Protein [Internet]. Frontiers in Chemistry. 2020 ; 8 235 Apr.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3389/fchem.2020.00235
  • Source: Molecules. Unidades: IFSC, EACH, IQSC

    Subjects: LIPÍDEOS, FOTORRECEPTORES, PEROXIDASE

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      ARAUJO, Sheila C. et al. Structure-based virtual screening, molecular dynamics and binding free energy calculations of hit candidates as ALK-5 inhibitors. Molecules, v. 25, n. Ja 2020, p. 264-1-264-14, 2020Tradução . . Disponível em: https://doi.org/10.3390/molecules25020264. Acesso em: 13 nov. 2024.
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      Araujo, S. C., Maltarollo, V. G., Almeida, M. de O., Ferreira, L. L. G., Andricopulo, A. D., & Honório, K. M. (2020). Structure-based virtual screening, molecular dynamics and binding free energy calculations of hit candidates as ALK-5 inhibitors. Molecules, 25( Ja 2020), 264-1-264-14. doi:10.3390/molecules25020264
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      Araujo SC, Maltarollo VG, Almeida M de O, Ferreira LLG, Andricopulo AD, Honório KM. Structure-based virtual screening, molecular dynamics and binding free energy calculations of hit candidates as ALK-5 inhibitors [Internet]. Molecules. 2020 ; 25( Ja 2020): 264-1-264-14.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/molecules25020264
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      Araujo SC, Maltarollo VG, Almeida M de O, Ferreira LLG, Andricopulo AD, Honório KM. Structure-based virtual screening, molecular dynamics and binding free energy calculations of hit candidates as ALK-5 inhibitors [Internet]. Molecules. 2020 ; 25( Ja 2020): 264-1-264-14.[citado 2024 nov. 13 ] Available from: https://doi.org/10.3390/molecules25020264
  • Source: Program. Conference titles: Brazilian MRS Meeting. Unidades: EACH, IQSC

    Subjects: ELETROQUÍMICA, DEGRADAÇÃO AMBIENTAL

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      ALMEIDA, Michell de Oliveira e HONÓRIO, Káthia Maria e LANZA, Marcos Roberto de Vasconcelos. Computational study on the degradation of the endocrine disruptor acetochlor by the hydroxyl radical. 2019, Anais.. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat, 2019. Disponível em: https://repositorio.usp.br/directbitstream/1db189d8-6448-45fb-a937-78642779e251/P18368.pdf. Acesso em: 13 nov. 2024.
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      Almeida, M. de O., Honório, K. M., & Lanza, M. R. de V. (2019). Computational study on the degradation of the endocrine disruptor acetochlor by the hydroxyl radical. In Program. Rio de Janeiro: Sociedade Brasileira de Pesquisa em Materiais - SBPMat. Recuperado de https://repositorio.usp.br/directbitstream/1db189d8-6448-45fb-a937-78642779e251/P18368.pdf
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      Almeida M de O, Honório KM, Lanza MR de V. Computational study on the degradation of the endocrine disruptor acetochlor by the hydroxyl radical [Internet]. Program. 2019 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/1db189d8-6448-45fb-a937-78642779e251/P18368.pdf
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      Almeida M de O, Honório KM, Lanza MR de V. Computational study on the degradation of the endocrine disruptor acetochlor by the hydroxyl radical [Internet]. Program. 2019 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/1db189d8-6448-45fb-a937-78642779e251/P18368.pdf
  • 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: 13 nov. 2024.
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      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
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      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. 13 ] 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. 13 ] Available from: https://doi.org/10.3389/frobt.2019.00108
  • Source: Workshop. Conference titles: Workshop de Pós-Doutorado do IQSC. Unidades: IQSC, EACH

    Subjects: HORMÔNIOS, QUÍMICA

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      ALMEIDA, Michell de Oliveira e HONÓRIO, Káthia Maria e LANZA, Marcos Roberto de Vasconcelos. Estudo computacional sobre possíveis mecanismos de degradação de um interferente endócrino (acetocloro). 2019, Anais.. São Carlos: IQSC, 2019. Disponível em: https://repositorio.usp.br/directbitstream/f567a93c-72db-4dab-9e50-4a6cb4256a74/P18435.pdf. Acesso em: 13 nov. 2024.
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      Almeida, M. de O., Honório, K. M., & Lanza, M. R. de V. (2019). Estudo computacional sobre possíveis mecanismos de degradação de um interferente endócrino (acetocloro). In Workshop. São Carlos: IQSC. Recuperado de https://repositorio.usp.br/directbitstream/f567a93c-72db-4dab-9e50-4a6cb4256a74/P18435.pdf
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      Almeida M de O, Honório KM, Lanza MR de V. Estudo computacional sobre possíveis mecanismos de degradação de um interferente endócrino (acetocloro) [Internet]. Workshop. 2019 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/f567a93c-72db-4dab-9e50-4a6cb4256a74/P18435.pdf
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      Almeida M de O, Honório KM, Lanza MR de V. Estudo computacional sobre possíveis mecanismos de degradação de um interferente endócrino (acetocloro) [Internet]. Workshop. 2019 ;[citado 2024 nov. 13 ] Available from: https://repositorio.usp.br/directbitstream/f567a93c-72db-4dab-9e50-4a6cb4256a74/P18435.pdf
  • 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: 13 nov. 2024.
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      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
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      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. 13 ] Available from: https://doi.org/10.1007/s00894-017-3444-3
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      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. 13 ] Available from: https://doi.org/10.1007/s00894-017-3444-3
  • Source: Artificial neural networks : architectures and applications. Unidade: IQSC

    Subjects: REDES NEURAIS, QUÍMICA

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      MATAROLLO, Vinícius Gonçalves e HONÓRIO, Káthia Maria e SILVA, Alberico Borges Ferreira da. Applications of artificial neural networks in chemical problems. Artificial neural networks : architectures and applications. Tradução . Rijeka: InTech, 2013. . Disponível em: https://doi.org/10.5772/51275. Acesso em: 13 nov. 2024.
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      Matarollo, V. G., Honório, K. M., & Silva, A. B. F. da. (2013). Applications of artificial neural networks in chemical problems. In Artificial neural networks : architectures and applications. Rijeka: InTech. doi:10.5772/51275
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      Matarollo VG, Honório KM, Silva ABF da. Applications of artificial neural networks in chemical problems [Internet]. In: Artificial neural networks : architectures and applications. Rijeka: InTech; 2013. [citado 2024 nov. 13 ] Available from: https://doi.org/10.5772/51275
    • Vancouver

      Matarollo VG, Honório KM, Silva ABF da. Applications of artificial neural networks in chemical problems [Internet]. In: Artificial neural networks : architectures and applications. Rijeka: InTech; 2013. [citado 2024 nov. 13 ] Available from: https://doi.org/10.5772/51275
  • Source: Medicinal Chemistry. Unidades: EACH, IFSC, IQSC

    Subjects: QUÍMICA MÉDICA, TRIPANOSSOMICIDAS, MODELAGEM MOLECULAR

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      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: 13 nov. 2024.
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      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
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      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. 13 ] Available from: https://doi.org/10.2174/157340612804075043
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      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. 13 ] Available from: https://doi.org/10.2174/157340612804075043
  • Source: Química Nova. Unidades: FE, EACH, IQSC

    Subjects: QUÍMICA, FÁRMACOS (DETERMINAÇÃO;CARACTERÍSTICAS)

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      ARROIO, Agnaldo e HONÓRIO, Káthia Maria e SILVA, Alberico Borges Ferreira da. Propriedades químico-quânticas empregadas em estudos das relações estrutura-atividade. Química Nova, v. 33, n. 3, p. 694-699, 2010Tradução . . Disponível em: https://doi.org/10.1590/s0100-40422010000300037. Acesso em: 13 nov. 2024.
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      Arroio, A., Honório, K. M., & Silva, A. B. F. da. (2010). Propriedades químico-quânticas empregadas em estudos das relações estrutura-atividade. Química Nova, 33( 3), 694-699. doi:10.1590/s0100-40422010000300037
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      Arroio A, Honório KM, Silva ABF da. Propriedades químico-quânticas empregadas em estudos das relações estrutura-atividade [Internet]. Química Nova. 2010 ; 33( 3): 694-699.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1590/s0100-40422010000300037
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      Arroio A, Honório KM, Silva ABF da. Propriedades químico-quânticas empregadas em estudos das relações estrutura-atividade [Internet]. Química Nova. 2010 ; 33( 3): 694-699.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1590/s0100-40422010000300037

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