Filtros : "Journal of Chemical Information and Modeling" "Financiado pela CAPES" Removido: "ANDRICOPULO, ADRIANO DEFINI" Limpar

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  • Fonte: Journal of Chemical Information and Modeling. Unidade: IQSC

    Assunto: QUÍMICA MÉDICA

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    • ABNT

      COSTA, Clauber H. S et al. Evaluating QM/MM Free Energy Surfaces for Ranking Cysteine Protease Covalent Inhibitors. Journal of Chemical Information and Modeling, p. 880-889, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00847. Acesso em: 23 nov. 2025.
    • APA

      Costa, C. H. S., Bonatto, V., Santos, A. M. dos, Lameira, J., Leitão, A., & Montanari, C. A. (2020). Evaluating QM/MM Free Energy Surfaces for Ranking Cysteine Protease Covalent Inhibitors. Journal of Chemical Information and Modeling, 880-889. doi:10.1021/acs.jcim.9b00847
    • NLM

      Costa CHS, Bonatto V, Santos AM dos, Lameira J, Leitão A, Montanari CA. Evaluating QM/MM Free Energy Surfaces for Ranking Cysteine Protease Covalent Inhibitors [Internet]. Journal of Chemical Information and Modeling. 2020 ; 880-889.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.9b00847
    • Vancouver

      Costa CHS, Bonatto V, Santos AM dos, Lameira J, Leitão A, Montanari CA. Evaluating QM/MM Free Energy Surfaces for Ranking Cysteine Protease Covalent Inhibitors [Internet]. Journal of Chemical Information and Modeling. 2020 ; 880-889.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.9b00847
  • Fonte: Journal of Chemical Information and Modeling. Unidade: IQSC

    Assunto: CLUSTERS

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    • ABNT

      BATISTA, Krys Elly de Araújo et al. Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters. Journal of Chemical Information and Modeling, v. 60, p. 537-545, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00792. Acesso em: 23 nov. 2025.
    • APA

      Batista, K. E. de A., Restrepo, V. k, Soares, M. D., Quiles, M. G., Piotrowski, M. J., & Silva, J. L. F. da. (2020). Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters. Journal of Chemical Information and Modeling, 60, 537-545. doi:10.1021/acs.jcim.9b00792
    • NLM

      Batista KE de A, Restrepo V k, Soares MD, Quiles MG, Piotrowski MJ, Silva JLF da. Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60 537-545.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.9b00792
    • Vancouver

      Batista KE de A, Restrepo V k, Soares MD, Quiles MG, Piotrowski MJ, Silva JLF da. Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters [Internet]. Journal of Chemical Information and Modeling. 2020 ; 60 537-545.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.9b00792
  • Fonte: Journal of Chemical Information and Modeling. Unidade: IF

    Assuntos: FLUÍDOS COMPLEXOS, ENDOCITOSE, MEMBRANAS (BIOLOGIA), BIOTECNOLOGIA

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    • ABNT

      SANTOS, Denys E. S. et al. SuAVE: A Tool for Analyzing Curvature-Dependent Properties in Chemical Interfaces. Journal of Chemical Information and Modeling, 2019Tradução . . Disponível em: https://doi-org.ez67.periodicos.capes.gov.br/10.1021/acs.jcim.9b00569. Acesso em: 23 nov. 2025.
    • APA

      Santos, D. E. S., Pontes, F. J. S., Lins, R. D., Coutinho, K. R., & Soares, T. A. (2019). SuAVE: A Tool for Analyzing Curvature-Dependent Properties in Chemical Interfaces. Journal of Chemical Information and Modeling. doi:10.1021/acs.jcim.9b00569
    • NLM

      Santos DES, Pontes FJS, Lins RD, Coutinho KR, Soares TA. SuAVE: A Tool for Analyzing Curvature-Dependent Properties in Chemical Interfaces [Internet]. Journal of Chemical Information and Modeling. 2019 ;[citado 2025 nov. 23 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1021/acs.jcim.9b00569
    • Vancouver

      Santos DES, Pontes FJS, Lins RD, Coutinho KR, Soares TA. SuAVE: A Tool for Analyzing Curvature-Dependent Properties in Chemical Interfaces [Internet]. Journal of Chemical Information and Modeling. 2019 ;[citado 2025 nov. 23 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1021/acs.jcim.9b00569
  • Fonte: Journal of Chemical Information and Modeling. Unidade: FCFRP

    Assuntos: ENTROPIA, REGRESSÃO LINEAR, MITOCÔNDRIAS, NANOTUBOS DE CARBONO, BIOMEDICINA, OXIGÊNIO

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    • ABNT

      GONZÁLEZ-DURRUTHY, Michael et al. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants. Journal of Chemical Information and Modeling, v. 57, n. 5, p. 1029-1044, 2017Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.6b00458. Acesso em: 23 nov. 2025.
    • APA

      González-Durruthy, M., Alberici, L. C., Curti, C., Naal, Z., Sawazaki, D. T. A., Vázquez-Naya, J. M., et al. (2017). Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants. Journal of Chemical Information and Modeling, 57( 5), 1029-1044. doi:10.1021/acs.jcim.6b00458
    • NLM

      González-Durruthy M, Alberici LC, Curti C, Naal Z, Sawazaki DTA, Vázquez-Naya JM, González-Díaz H, Munteanu CR. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants [Internet]. Journal of Chemical Information and Modeling. 2017 ; 57( 5): 1029-1044.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458
    • Vancouver

      González-Durruthy M, Alberici LC, Curti C, Naal Z, Sawazaki DTA, Vázquez-Naya JM, González-Díaz H, Munteanu CR. Experimental–computational study of carbon nanotube effects on mitochondrial respiration: in silico nano-QSPR machine learning models based on new raman spectra transform with markov–shannon entropy invariants [Internet]. Journal of Chemical Information and Modeling. 2017 ; 57( 5): 1029-1044.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458

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