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  • Source: Journal of Molecular Modeling. Unidade: EP

    Subjects: HIDROGENAÇÃO, TERMODINÂMICA

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    • ABNT

      ALVIM, Raphael da Silva e BRESCIANI, Antonio Esio e ALVES, Rita Maria de Brito. Formic acid stability in different solvents by DFT calculations. Journal of Molecular Modeling, v. 20, n. 67, p. 1-12, 2024Tradução . . Disponível em: https://link.springer.com/article/10.1007/s00894-024-05849-9. Acesso em: 09 nov. 2025.
    • APA

      Alvim, R. da S., Bresciani, A. E., & Alves, R. M. de B. (2024). Formic acid stability in different solvents by DFT calculations. Journal of Molecular Modeling, 20( 67), 1-12. doi:10.1007/s00894-024-05849-9
    • NLM

      Alvim R da S, Bresciani AE, Alves RM de B. Formic acid stability in different solvents by DFT calculations [Internet]. Journal of Molecular Modeling. 2024 ;20( 67): 1-12.[citado 2025 nov. 09 ] Available from: https://link.springer.com/article/10.1007/s00894-024-05849-9
    • Vancouver

      Alvim R da S, Bresciani AE, Alves RM de B. Formic acid stability in different solvents by DFT calculations [Internet]. Journal of Molecular Modeling. 2024 ;20( 67): 1-12.[citado 2025 nov. 09 ] Available from: https://link.springer.com/article/10.1007/s00894-024-05849-9
  • Source: Journal of Molecular Modeling. Unidade: FCF

    Subjects: ZIKA VÍRUS, PEPTÍDEOS

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    • ABNT

      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: 09 nov. 2025.
    • APA

      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 2025 nov. 09 ] 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 2025 nov. 09 ] 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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    • ABNT

      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: 09 nov. 2025.
    • APA

      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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://dx.doi.org/10.1007/s00894-024-05930-3
  • 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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    • ABNT

      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: 09 nov. 2025.
    • 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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.1007/s00894-023-05443-5
  • Source: Journal of Molecular Modeling. Unidade: IQ

    Subjects: CATALISADORES, ZINCO

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    • ABNT

      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: 09 nov. 2025.
    • APA

      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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.21203/rs.3.rs-1713986/v1
  • Source: Journal of Molecular Modeling. Unidade: FFCLRP

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

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    • ABNT

      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: 09 nov. 2025.
    • APA

      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 2025 nov. 09 ] 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 2025 nov. 09 ] Available from: https://doi.org/10.1007/s00894-021-04744-x

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