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Filtros : "Journal of Chemical Information and Modeling" "Indexado no MEDLINE" Limpar

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  • Artigo de periodico-carta/editorial

    Machine Learning in Materials Science. [Editorial] (2024)

    Merz, Kenneth M; Choong, Yee Siew; Cournia, Zoe; Isayev, Olexandr; Soares, Thereza Amélia ; Wei, Guo-Wei; Zhu, Feng

    Fonte: Journal of Chemical Information and Modeling. Unidade: FFCLRP

    Assuntos: ALGORITMOS, APRENDIZADO COMPUTACIONAL, BIOMATERIAIS

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    • ABNT

      MERZ, Kenneth M et al. Machine Learning in Materials Science. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.4c00727. Acesso em: 09 nov. 2025. , 2024

    • APA

      Merz, K. M., Choong, Y. S., Cournia, Z., Isayev, O., Soares, T. A., Wei, G. -W., & Zhu, F. (2024). Machine Learning in Materials Science. [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.4c00727

    • NLM

      Merz KM, Choong YS, Cournia Z, Isayev O, Soares TA, Wei G-W, Zhu F. Machine Learning in Materials Science. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 10): 3959-3960.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.4c00727

    • Vancouver

      Merz KM, Choong YS, Cournia Z, Isayev O, Soares TA, Wei G-W, Zhu F. Machine Learning in Materials Science. [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2024 ; 64( 10): 3959-3960.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.4c00727

  • Artigo de periodico-carta/editorial

    Editing DNA and RNA through Computations [Editorial] (2023)

    Palermo, Giulia; Soares, Thereza A.

    Fonte: Journal of Chemical Information and Modeling. Unidade: FFCLRP

    Assuntos: QUÍMICA, REPLICAÇÃO DO DNA, GENÔMICA, ÁCIDOS NUCLEICOS

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    • ABNT

      PALERMO, Giulia e SOARES, Thereza A. Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1021/acs.jcim.3c01824. Acesso em: 09 nov. 2025. , 2023

    • APA

      Palermo, G., & Soares, T. A. (2023). Editing DNA and RNA through Computations [Editorial]. Journal of Chemical Information and Modeling. Washington: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1021/acs.jcim.3c01824

    • NLM

      Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824

    • Vancouver

      Palermo G, Soares TA. Editing DNA and RNA through Computations [Editorial] [Internet]. Journal of Chemical Information and Modeling. 2023 ; 63( 24): 7603-7604.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.3c01824

  • Artigo de periodico

    Making soup: preparing and validating models of the bacterial cytoplasm for molecular simulation (2020)

    Bortot, Leandro Oliveira; Bashardanesh, Zahedeh; van der Spoel, David

    Fonte: Journal of Chemical Information and Modeling. Unidade: FCFRP

    Assuntos: CITOPLASMA, RNA, ESCHERICHIA COLI

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    • ABNT

      BORTOT, Leandro Oliveira e BASHARDANESH, Zahedeh e VAN DER SPOEL, David. Making soup: preparing and validating models of the bacterial cytoplasm for molecular simulation. Journal of Chemical Information and Modeling, v. 60, n. 1, p. 322-331, 2020Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.9b00971. Acesso em: 09 nov. 2025.

    • APA

      Bortot, L. O., Bashardanesh, Z., & van der Spoel, D. (2020). Making soup: preparing and validating models of the bacterial cytoplasm for molecular simulation. Journal of Chemical Information and Modeling, 60( 1), 322-331. doi:10.1021/acs.jcim.9b00971

    • NLM

      Bortot LO, Bashardanesh Z, van der Spoel D. Making soup: preparing and validating models of the bacterial cytoplasm for molecular simulation [Internet]. Journal of Chemical Information and Modeling. 2020 ;60( 1): 322-331.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00971

    • Vancouver

      Bortot LO, Bashardanesh Z, van der Spoel D. Making soup: preparing and validating models of the bacterial cytoplasm for molecular simulation [Internet]. Journal of Chemical Information and Modeling. 2020 ;60( 1): 322-331.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1021/acs.jcim.9b00971

  • Artigo de periodico

    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 (2017)

    González-Durruthy, Michael; Alberici, Luciane C.; Curti, Carlos; Naal, Zeki; Sawazaki, David Tatsuo A; Vázquez-Naya, José M.; González-Díaz, Humberto; Munteanu, Cristian R.

    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: 09 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. 09 ] 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. 09 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458

  • Artigo de periodico

    Multilabeled classification approach to find a plant source for terpenoids (2008)

    Hristozov, Dimitar; Gasteiger, Johann; Costa, Fernando Batista da

    Fonte: Journal of Chemical Information and Modeling. Unidade: FCFRP

    Assuntos: COMPOSITAE, FARMACOGNOSIA

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    • ABNT

      HRISTOZOV, Dimitar e GASTEIGER, Johann e COSTA, Fernando Batista da. Multilabeled classification approach to find a plant source for terpenoids. Journal of Chemical Information and Modeling, v. 48, n. 1, p. 56-67, 2008Tradução . . Acesso em: 09 nov. 2025.

    • APA

      Hristozov, D., Gasteiger, J., & Costa, F. B. da. (2008). Multilabeled classification approach to find a plant source for terpenoids. Journal of Chemical Information and Modeling, 48( 1), 56-67.

    • NLM

      Hristozov D, Gasteiger J, Costa FB da. Multilabeled classification approach to find a plant source for terpenoids. Journal of Chemical Information and Modeling. 2008 ; 48( 1): 56-67.[citado 2025 nov. 09 ]

    • Vancouver

      Hristozov D, Gasteiger J, Costa FB da. Multilabeled classification approach to find a plant source for terpenoids. Journal of Chemical Information and Modeling. 2008 ; 48( 1): 56-67.[citado 2025 nov. 09 ]
  • 1

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