Filtros : "Journal of Molecular Modeling" Limpar

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  • Source: Journal of Molecular Modeling. Unidade: FCF

    Subjects: ZIKA VÍRUS, PEPTÍDEOS

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      SAVINO, Débora Feliciano et al. How do physicochemical properties contribute to inhibitory activity of promising peptides against Zika Virus NS3 protease?. Journal of Molecular Modeling, v. 30, n. 2, p. 1-19, 2024Tradução . . Disponível em: https://dx.doi.org/10.1007/s00894-024-05843-1. Acesso em: 29 maio 2024.
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      Savino, D. F., Silva, J. V. da, Santos, S. da S., Lourenço, F. R., & Giarolla, J. (2024). How do physicochemical properties contribute to inhibitory activity of promising peptides against Zika Virus NS3 protease? Journal of Molecular Modeling, 30( 2), 1-19. doi:10.1007/s00894-024-05843-1
    • NLM

      Savino DF, Silva JV da, Santos S da S, Lourenço FR, Giarolla J. How do physicochemical properties contribute to inhibitory activity of promising peptides against Zika Virus NS3 protease? [Internet]. Journal of Molecular Modeling. 2024 ; 30( 2): 1-19.[citado 2024 maio 29 ] Available from: https://dx.doi.org/10.1007/s00894-024-05843-1
    • Vancouver

      Savino DF, Silva JV da, Santos S da S, Lourenço FR, Giarolla J. How do physicochemical properties contribute to inhibitory activity of promising peptides against Zika Virus NS3 protease? [Internet]. Journal of Molecular Modeling. 2024 ; 30( 2): 1-19.[citado 2024 maio 29 ] Available from: https://dx.doi.org/10.1007/s00894-024-05843-1
  • Source: Journal of Molecular Modeling. Unidade: IQ

    Subjects: PALÁDIO, SÍNTESE ORGÂNICA

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      ALVES, Erick Henrique de Souza e OLIVEIRA, Daniel Arley Santos e BRAGA, Ataualpa Albert Carmo. Palladium(II)-catalyzed annulation of N-methoxy amides and arynes: computational mechanistic insights and substituents effects. Journal of Molecular Modeling, v. 30, p. 1-11 art. 152, 2024Tradução . . Disponível em: https://dx.doi.org/10.1007/s00894-024-05930-3. Acesso em: 29 maio 2024.
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      Alves, E. H. de S., Oliveira, D. A. S., & Braga, A. A. C. (2024). Palladium(II)-catalyzed annulation of N-methoxy amides and arynes: computational mechanistic insights and substituents effects. Journal of Molecular Modeling, 30, 1-11 art. 152. doi:10.1007/s00894-024-05930-3
    • NLM

      Alves EH de S, Oliveira DAS, Braga AAC. Palladium(II)-catalyzed annulation of N-methoxy amides and arynes: computational mechanistic insights and substituents effects [Internet]. Journal of Molecular Modeling. 2024 ; 30 1-11 art. 152.[citado 2024 maio 29 ] Available from: https://dx.doi.org/10.1007/s00894-024-05930-3
    • Vancouver

      Alves EH de S, Oliveira DAS, Braga AAC. Palladium(II)-catalyzed annulation of N-methoxy amides and arynes: computational mechanistic insights and substituents effects [Internet]. Journal of Molecular Modeling. 2024 ; 30 1-11 art. 152.[citado 2024 maio 29 ] Available from: https://dx.doi.org/10.1007/s00894-024-05930-3
  • Source: Journal of Molecular Modeling. Unidade: IQSC

    Subjects: FLAVONOIDES, POLIFENÓIS

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      BORGES, Rosivaldo S et al. Antioxidant capacity of simplified oxygen heterocycles and proposed derivatives by theoretical calculations. Journal of Molecular Modeling, v. 29, p. 232, 2023Tradução . . Disponível em: https://doi.org/10.1007/s00894-023-05602-8. Acesso em: 29 maio 2024.
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      Borges, R. S., Aguiar, C. p, Oliveira, N. l, Amaral, I. N. A., Vale, J. K. L., Cheves Neto, A. M. J., et al. (2023). Antioxidant capacity of simplified oxygen heterocycles and proposed derivatives by theoretical calculations. Journal of Molecular Modeling, 29, 232. doi:10.1007/s00894-023-05602-8
    • NLM

      Borges RS, Aguiar C p, Oliveira N l, Amaral INA, Vale JKL, Cheves Neto AMJ, Queiroz AN, Silva ABF da. Antioxidant capacity of simplified oxygen heterocycles and proposed derivatives by theoretical calculations [Internet]. Journal of Molecular Modeling. 2023 ;29 232.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-023-05602-8
    • Vancouver

      Borges RS, Aguiar C p, Oliveira N l, Amaral INA, Vale JKL, Cheves Neto AMJ, Queiroz AN, Silva ABF da. Antioxidant capacity of simplified oxygen heterocycles and proposed derivatives by theoretical calculations [Internet]. Journal of Molecular Modeling. 2023 ;29 232.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-023-05602-8
  • 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: 29 maio 2024.
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      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 maio 29 ] 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 maio 29 ] Available from: https://doi.org/10.1007/s00894-023-05443-5
  • Source: Journal of Molecular Modeling. Unidade: IQSC

    Subjects: ESTRUTURA ELETRÔNICA, QUÍMICA TEÓRICA, HIDROGÊNIO

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      VICHIETTI, Rafael M. et al. Accurate rate constants for elementary reactions of molecular hydrogen and carbon monoxide mixtures and the role of the H2 rich environment. Journal of Molecular Modeling, v. 28, p. 229, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00894-022-05207-7. Acesso em: 29 maio 2024.
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      Vichietti, R. M., Spada, R. F. K., Machado, F. B. C., & Haiduke, R. L. A. (2022). Accurate rate constants for elementary reactions of molecular hydrogen and carbon monoxide mixtures and the role of the H2 rich environment. Journal of Molecular Modeling, 28, 229. doi:10.1007/s00894-022-05207-7
    • NLM

      Vichietti RM, Spada RFK, Machado FBC, Haiduke RLA. Accurate rate constants for elementary reactions of molecular hydrogen and carbon monoxide mixtures and the role of the H2 rich environment [Internet]. Journal of Molecular Modeling. 2022 ;28 229.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-022-05207-7
    • Vancouver

      Vichietti RM, Spada RFK, Machado FBC, Haiduke RLA. Accurate rate constants for elementary reactions of molecular hydrogen and carbon monoxide mixtures and the role of the H2 rich environment [Internet]. Journal of Molecular Modeling. 2022 ;28 229.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-022-05207-7
  • Source: Journal of Molecular Modeling. Unidade: IQ

    Subjects: CATALISADORES, ZINCO

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      LIMA, Lucas Welington de e MORAIS, Sara Figueirêdo de Alcântara e BRAGA, Ataualpa Albert Carmo. Understanding the reaction mechanism of the CO2 and cyclohexene oxide copolymerization catalyzed by zinc(II) and magnesium(II) catalysts: a DFT approach. Journal of Molecular Modeling, v. 28, p. 1-13 art. 314, 2022Tradução . . Disponível em: https://doi.org/10.21203/rs.3.rs-1713986/v1. Acesso em: 29 maio 2024.
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      Lima, L. W. de, Morais, S. F. de A., & Braga, A. A. C. (2022). Understanding the reaction mechanism of the CO2 and cyclohexene oxide copolymerization catalyzed by zinc(II) and magnesium(II) catalysts: a DFT approach. Journal of Molecular Modeling, 28, 1-13 art. 314. doi:10.21203/rs.3.rs-1713986/v1
    • NLM

      Lima LW de, Morais SF de A, Braga AAC. Understanding the reaction mechanism of the CO2 and cyclohexene oxide copolymerization catalyzed by zinc(II) and magnesium(II) catalysts: a DFT approach [Internet]. Journal of Molecular Modeling. 2022 ; 28 1-13 art. 314.[citado 2024 maio 29 ] Available from: https://doi.org/10.21203/rs.3.rs-1713986/v1
    • Vancouver

      Lima LW de, Morais SF de A, Braga AAC. Understanding the reaction mechanism of the CO2 and cyclohexene oxide copolymerization catalyzed by zinc(II) and magnesium(II) catalysts: a DFT approach [Internet]. Journal of Molecular Modeling. 2022 ; 28 1-13 art. 314.[citado 2024 maio 29 ] Available from: https://doi.org/10.21203/rs.3.rs-1713986/v1
  • Source: Journal of Molecular Modeling. Unidades: FCFRP, FFCLRP

    Subjects: CANABINOIDES, TRIAGEM TOXICOLÓGICA, SIMULAÇÃO

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      CORREIA, Lenir Cabral et al. Pharmacophore-based virtual screening from phytocannabinoids as antagonist r-CB1. Journal of Molecular Modeling, v. 28, n. 9, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00894-022-05219-3. Acesso em: 29 maio 2024.
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      Correia, L. C., Ferreira, J. V., Lima, H. B. de, Silva, G. M. da, Silva, C. H. T. de P. da, Molfetta, F. A. de, & Melim, L. I. da S. H. (2022). Pharmacophore-based virtual screening from phytocannabinoids as antagonist r-CB1. Journal of Molecular Modeling, 28( 9), 1-26. doi:10.1007/s00894-022-05219-3
    • NLM

      Correia LC, Ferreira JV, Lima HB de, Silva GM da, Silva CHT de P da, Molfetta FA de, Melim LI da SH. Pharmacophore-based virtual screening from phytocannabinoids as antagonist r-CB1 [Internet]. Journal of Molecular Modeling. 2022 ; 28( 9): 1-26.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-022-05219-3
    • Vancouver

      Correia LC, Ferreira JV, Lima HB de, Silva GM da, Silva CHT de P da, Molfetta FA de, Melim LI da SH. Pharmacophore-based virtual screening from phytocannabinoids as antagonist r-CB1 [Internet]. Journal of Molecular Modeling. 2022 ; 28( 9): 1-26.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-022-05219-3
  • Source: Journal of Molecular Modeling. Unidade: FFCLRP

    Subjects: MONÓXIDO DE CARBONO, LIGANTES, QUÍMICA QUÂNTICA, ORBITAL MOLECULAR

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      PELEGRINI, Marina e GALEMBECK, Sérgio Emanuel. Understanding the Fe-CO bond through the electronic structure of Fem+(CO)6-nLn, m = 2, 3, n = 0–3, L = Cl−, Br−, H2O or NH3. Journal of Molecular Modeling, v. 27, n. 5, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00894-021-04744-x. Acesso em: 29 maio 2024.
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      Pelegrini, M., & Galembeck, S. E. (2021). Understanding the Fe-CO bond through the electronic structure of Fem+(CO)6-nLn, m = 2, 3, n = 0–3, L = Cl−, Br−, H2O or NH3. Journal of Molecular Modeling, 27( 5). doi:10.1007/s00894-021-04744-x
    • NLM

      Pelegrini M, Galembeck SE. Understanding the Fe-CO bond through the electronic structure of Fem+(CO)6-nLn, m = 2, 3, n = 0–3, L = Cl−, Br−, H2O or NH3 [Internet]. Journal of Molecular Modeling. 2021 ; 27( 5):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-021-04744-x
    • Vancouver

      Pelegrini M, Galembeck SE. Understanding the Fe-CO bond through the electronic structure of Fem+(CO)6-nLn, m = 2, 3, n = 0–3, L = Cl−, Br−, H2O or NH3 [Internet]. Journal of Molecular Modeling. 2021 ; 27( 5):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-021-04744-x
  • Source: Journal of Molecular Modeling. Conference titles: Symposium on Electronic Structure and Molecular Dynamics - SeedMol. Unidade: IFSC

    Subjects: LÍTIO, MÉTODO DE MONTE CARLO, MODELOS MATEMÁTICOS

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      BRITO, B. G. A. et al. Probing the ground-state structural transition in small lithium clusters by quantum Monte Carlo simulations. Journal of Molecular Modeling. Heidelberg: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s00894-021-04810-4. Acesso em: 29 maio 2024. , 2021
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      Brito, B. G. A., Verde, E. L., Hai, G. -Q., & Cândido, L. (2021). Probing the ground-state structural transition in small lithium clusters by quantum Monte Carlo simulations. Journal of Molecular Modeling. Heidelberg: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1007/s00894-021-04810-4
    • NLM

      Brito BGA, Verde EL, Hai G-Q, Cândido L. Probing the ground-state structural transition in small lithium clusters by quantum Monte Carlo simulations [Internet]. Journal of Molecular Modeling. 2021 ; 27( 7): 207-1-207-7.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-021-04810-4
    • Vancouver

      Brito BGA, Verde EL, Hai G-Q, Cândido L. Probing the ground-state structural transition in small lithium clusters by quantum Monte Carlo simulations [Internet]. Journal of Molecular Modeling. 2021 ; 27( 7): 207-1-207-7.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-021-04810-4
  • Source: Journal of Molecular Modeling. Unidade: IFSC

    Subjects: XANTHOMONAS, ELASTICIDADE, CATÁLISE

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      SKAF, Munir Salomão e POLIKARPOV, Igor e STANKOVIC, Ivana M. A linker of the proline-threonine repeatingmotif sequence is bimodal. Journal of Molecular Modeling, v. 26, n. 8, p. 178-1-178-7, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00894-020-04434-0. Acesso em: 29 maio 2024.
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      Skaf, M. S., Polikarpov, I., & Stankovic, I. M. (2020). A linker of the proline-threonine repeatingmotif sequence is bimodal. Journal of Molecular Modeling, 26( 8), 178-1-178-7. doi:10.1007/s00894-020-04434-0
    • NLM

      Skaf MS, Polikarpov I, Stankovic IM. A linker of the proline-threonine repeatingmotif sequence is bimodal [Internet]. Journal of Molecular Modeling. 2020 ; 26( 8): 178-1-178-7.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-020-04434-0
    • Vancouver

      Skaf MS, Polikarpov I, Stankovic IM. A linker of the proline-threonine repeatingmotif sequence is bimodal [Internet]. Journal of Molecular Modeling. 2020 ; 26( 8): 178-1-178-7.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-020-04434-0
  • Source: Journal of Molecular Modeling. Unidade: FCF

    Subjects: ADENOVÍRUS, OBESIDADE

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      GUTIÉRREZ, Alvaro et al. Characterization of the adipogenic protein E4orf1 from adenovirus 36 through an in silico approach. Journal of Molecular Modeling, v. 26, p. 1-9 art. 285, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00894-020-04531-0. Acesso em: 29 maio 2024.
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      Gutiérrez, A., Ferreira, G. M., Machuca, J., Venthur, H., Feres, F., Hirata, M. H., et al. (2020). Characterization of the adipogenic protein E4orf1 from adenovirus 36 through an in silico approach. Journal of Molecular Modeling, 26, 1-9 art. 285. doi:10.1007/s00894-020-04531-0
    • NLM

      Gutiérrez A, Ferreira GM, Machuca J, Venthur H, Feres F, Hirata MH, Hirata RDC, Cerda A. Characterization of the adipogenic protein E4orf1 from adenovirus 36 through an in silico approach [Internet]. Journal of Molecular Modeling. 2020 ; 26 1-9 art. 285.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-020-04531-0
    • Vancouver

      Gutiérrez A, Ferreira GM, Machuca J, Venthur H, Feres F, Hirata MH, Hirata RDC, Cerda A. Characterization of the adipogenic protein E4orf1 from adenovirus 36 through an in silico approach [Internet]. Journal of Molecular Modeling. 2020 ; 26 1-9 art. 285.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-020-04531-0
  • Source: Journal of Molecular Modeling. Unidade: IQSC

    Subjects: QUÍMICA TEÓRICA, POLARIZAÇÃO, MOLÉCULA

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      MARINGOLO, Milena Palhares et al. On polarization functions for Gaussian basis sets. Journal of Molecular Modeling, v. 26, p. 293 sept.2020, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00894-020-04538-7. Acesso em: 29 maio 2024.
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      Maringolo, M. P., Tello, A. C. M., Guimaraes, A. R., Alves, J. M. A., Lima, F. das C. A., Longo, E., & Silva, A. B. F. da. (2020). On polarization functions for Gaussian basis sets. Journal of Molecular Modeling, 26, 293 sept.2020. doi:10.1007/s00894-020-04538-7
    • NLM

      Maringolo MP, Tello ACM, Guimaraes AR, Alves JMA, Lima F das CA, Longo E, Silva ABF da. On polarization functions for Gaussian basis sets [Internet]. Journal of Molecular Modeling. 2020 ; 26 293 sept.2020.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-020-04538-7
    • Vancouver

      Maringolo MP, Tello ACM, Guimaraes AR, Alves JMA, Lima F das CA, Longo E, Silva ABF da. On polarization functions for Gaussian basis sets [Internet]. Journal of Molecular Modeling. 2020 ; 26 293 sept.2020.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-020-04538-7
  • Source: Journal of Molecular Modeling. Unidade: IQSC

    Subjects: FÁRMACOS, ANTIFÚNGICOS, MICOSES

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      BUENO, Paulo Sérgio Alves et al. New inhibitors of homoserine dehydrogenase from Paracoccidioides brasiliensis presenting antifungal activity. Journal of Molecular Modeling, v. 25, p. 325, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00894-019-4221-2. Acesso em: 29 maio 2024.
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      Bueno, P. S. A., Franciele Abigail Vilugron Rodrigues,, Santos, J. L., Canduri, F., Biavatti, D. C., Pimentel, A. L., et al. (2019). New inhibitors of homoserine dehydrogenase from Paracoccidioides brasiliensis presenting antifungal activity. Journal of Molecular Modeling, 25, 325. doi:10.1007/s00894-019-4221-2
    • NLM

      Bueno PSA, Franciele Abigail Vilugron Rodrigues, Santos JL, Canduri F, Biavatti DC, Pimentel AL, Bagatin MC, Kioshima ÉS, Gauze G de F, Seixas FAV. New inhibitors of homoserine dehydrogenase from Paracoccidioides brasiliensis presenting antifungal activity [Internet]. Journal of Molecular Modeling. 2019 ; 25 325.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-019-4221-2
    • Vancouver

      Bueno PSA, Franciele Abigail Vilugron Rodrigues, Santos JL, Canduri F, Biavatti DC, Pimentel AL, Bagatin MC, Kioshima ÉS, Gauze G de F, Seixas FAV. New inhibitors of homoserine dehydrogenase from Paracoccidioides brasiliensis presenting antifungal activity [Internet]. Journal of Molecular Modeling. 2019 ; 25 325.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-019-4221-2
  • Source: Journal of Molecular Modeling. Unidade: FFCLRP

    Subjects: LIGAÇÕES QUÍMICAS, ESTRUTURA ELETRÔNICA, COMPUTAÇÃO APLICADA

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      ORENHA, Renato Pereira et al. Shedding light on the electronic structure of [Ru(η6-C16H16)(NH3)3]2+ complex: a computational insight. Journal of Molecular Modeling, v. 25, n. 1, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00894-018-3882-6. Acesso em: 29 maio 2024.
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      Orenha, R. P., Caramori, G. F., Misturini, A., & Galembeck, S. E. (2019). Shedding light on the electronic structure of [Ru(η6-C16H16)(NH3)3]2+ complex: a computational insight. Journal of Molecular Modeling, 25( 1). doi:10.1007/s00894-018-3882-6
    • NLM

      Orenha RP, Caramori GF, Misturini A, Galembeck SE. Shedding light on the electronic structure of [Ru(η6-C16H16)(NH3)3]2+ complex: a computational insight [Internet]. Journal of Molecular Modeling. 2019 ; 25( 1):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-018-3882-6
    • Vancouver

      Orenha RP, Caramori GF, Misturini A, Galembeck SE. Shedding light on the electronic structure of [Ru(η6-C16H16)(NH3)3]2+ complex: a computational insight [Internet]. Journal of Molecular Modeling. 2019 ; 25( 1):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-018-3882-6
  • Source: Journal of Molecular Modeling. Unidade: FFCLRP

    Subjects: TERMODINÂMICA (FÍSICO-QUÍMICA), SOLVATAÇÃO, ENERGIA

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      ALVES, Nelson Augusto e DIAS, Luis Gustavo e FRIGORI, Rafael Bertolini. Synergistic long-range effects of mutations underlie aggregation propensities of amylin analogues. Journal of Molecular Modeling, v. 25, n. 9, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00894-019-4137-x. Acesso em: 29 maio 2024.
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      Alves, N. A., Dias, L. G., & Frigori, R. B. (2019). Synergistic long-range effects of mutations underlie aggregation propensities of amylin analogues. Journal of Molecular Modeling, 25( 9). doi:10.1007/s00894-019-4137-x
    • NLM

      Alves NA, Dias LG, Frigori RB. Synergistic long-range effects of mutations underlie aggregation propensities of amylin analogues [Internet]. Journal of Molecular Modeling. 2019 ; 25( 9):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-019-4137-x
    • Vancouver

      Alves NA, Dias LG, Frigori RB. Synergistic long-range effects of mutations underlie aggregation propensities of amylin analogues [Internet]. Journal of Molecular Modeling. 2019 ; 25( 9):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-019-4137-x
  • Source: Journal of Molecular Modeling. Unidades: IQ, IF

    Subjects: PORFIRINAS, ESPECTROSCOPIA ULTRAVIOLETA

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      SUAREZ, Eduardo Diaz et al. Theoretical UV-Vis spectra of tetracationic porphyrin: effects of environment on electronic spectral properties. Journal of Molecular Modeling, v. 25, n. 9, p. 1-10, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00894-019-4149-6. Acesso em: 29 maio 2024.
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      Suarez, E. D., Lima, F. C. D. A. de, Dias, P. M., Constantino, V. R. L., & Petrilli, H. M. (2019). Theoretical UV-Vis spectra of tetracationic porphyrin: effects of environment on electronic spectral properties. Journal of Molecular Modeling, 25( 9), 1-10. doi:10.1007/s00894-019-4149-6
    • NLM

      Suarez ED, Lima FCDA de, Dias PM, Constantino VRL, Petrilli HM. Theoretical UV-Vis spectra of tetracationic porphyrin: effects of environment on electronic spectral properties [Internet]. Journal of Molecular Modeling. 2019 ; 25( 9): 1-10.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-019-4149-6
    • Vancouver

      Suarez ED, Lima FCDA de, Dias PM, Constantino VRL, Petrilli HM. Theoretical UV-Vis spectra of tetracationic porphyrin: effects of environment on electronic spectral properties [Internet]. Journal of Molecular Modeling. 2019 ; 25( 9): 1-10.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-019-4149-6
  • Source: Journal of Molecular Modeling. Unidade: IQSC

    Assunto: FÁRMACOS

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      BORGES, Nádia Melo et al. Similarity search combined with docking and molecular dynamics for novel hAChE inhibitor scaffolds. Journal of Molecular Modeling, v. 24, n. 1, p. 4 , 2018Tradução . . Disponível em: https://doi.org/10.1007/s00894-017-3548-9. Acesso em: 29 maio 2024.
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      Borges, N. M., Sartori, G. R., Ribeiro, J. F. R., Rocha, J. R. da, Martins, J. B. L., Montanari, C. A., & Gargano, R. (2018). Similarity search combined with docking and molecular dynamics for novel hAChE inhibitor scaffolds. Journal of Molecular Modeling, 24( 1), 4 . doi:10.1007/s00894-017-3548-9
    • NLM

      Borges NM, Sartori GR, Ribeiro JFR, Rocha JR da, Martins JBL, Montanari CA, Gargano R. Similarity search combined with docking and molecular dynamics for novel hAChE inhibitor scaffolds [Internet]. Journal of Molecular Modeling. 2018 ; 24( 1): 4 .[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-017-3548-9
    • Vancouver

      Borges NM, Sartori GR, Ribeiro JFR, Rocha JR da, Martins JBL, Montanari CA, Gargano R. Similarity search combined with docking and molecular dynamics for novel hAChE inhibitor scaffolds [Internet]. Journal of Molecular Modeling. 2018 ; 24( 1): 4 .[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-017-3548-9
  • Source: Journal of Molecular Modeling. Unidades: FMRP, FCFRP

    Subjects: ANTI-INFLAMATÓRIOS, FARMACOCINÉTICA

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      CRUZ, Josiane Viana et al. Computational design of new protein kinase 2 inhibitors for the treatment of inflammatory diseases using QSAR, pharmacophore-structure-based virtual screening, and molecular dynamics. Journal of Molecular Modeling, v. 24, n. 9, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00894-018-3756-y. Acesso em: 29 maio 2024.
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      Cruz, J. V., Serafim, R. B., Silva, G. M. da, Giuliatti, S., Rosa, J. M. C., Araújo Neto, M. F., et al. (2018). Computational design of new protein kinase 2 inhibitors for the treatment of inflammatory diseases using QSAR, pharmacophore-structure-based virtual screening, and molecular dynamics. Journal of Molecular Modeling, 24( 9). doi:10.1007/s00894-018-3756-y
    • NLM

      Cruz JV, Serafim RB, Silva GM da, Giuliatti S, Rosa JMC, Araújo Neto MF, Leite FHA, Taft CA, Silva CHT de P da, Santos CBR. Computational design of new protein kinase 2 inhibitors for the treatment of inflammatory diseases using QSAR, pharmacophore-structure-based virtual screening, and molecular dynamics [Internet]. Journal of Molecular Modeling. 2018 ; 24( 9):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-018-3756-y
    • Vancouver

      Cruz JV, Serafim RB, Silva GM da, Giuliatti S, Rosa JMC, Araújo Neto MF, Leite FHA, Taft CA, Silva CHT de P da, Santos CBR. Computational design of new protein kinase 2 inhibitors for the treatment of inflammatory diseases using QSAR, pharmacophore-structure-based virtual screening, and molecular dynamics [Internet]. Journal of Molecular Modeling. 2018 ; 24( 9):[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-018-3756-y
  • Source: Journal of Molecular Modeling. Unidade: IF

    Subjects: ESTRUTURA ELETRÔNICA, ELETROSTÁTICA, NUCLEOSÍDEOS, CLUSTERS

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      LACERDA JR., Evanildo G. et al. Theoretical study of the NMR chemical shift of 'XE' in supercritical condition. Journal of Molecular Modeling, v. 24, n. 3, p. 62, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00894-018-3600-4. Acesso em: 29 maio 2024.
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      Lacerda Jr., E. G., Sauer, S. P. A., Mikkelsen, K. V., Canuto, S. R. A., & Coutinho, K. R. (2018). Theoretical study of the NMR chemical shift of 'XE' in supercritical condition. Journal of Molecular Modeling, 24( 3), 62. doi:10.1007/s00894-018-3600-4
    • NLM

      Lacerda Jr. EG, Sauer SPA, Mikkelsen KV, Canuto SRA, Coutinho KR. Theoretical study of the NMR chemical shift of 'XE' in supercritical condition [Internet]. Journal of Molecular Modeling. 2018 ; 24( 3): 62.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-018-3600-4
    • Vancouver

      Lacerda Jr. EG, Sauer SPA, Mikkelsen KV, Canuto SRA, Coutinho KR. Theoretical study of the NMR chemical shift of 'XE' in supercritical condition [Internet]. Journal of Molecular Modeling. 2018 ; 24( 3): 62.[citado 2024 maio 29 ] Available from: https://doi.org/10.1007/s00894-018-3600-4
  • Source: Journal of Molecular Modeling. Unidades: EACH, ICMC, IQSC

    Subjects: FARMACOLOGIA MOLECULAR, RECEPTORES, MODELOS (ANÁLISE MULTIVARIADA), REDES NEURAIS

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    • 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: 29 maio 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
    • 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 29 ] 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 29 ] Available from: https://doi.org/10.1007/s00894-017-3444-3

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