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Artigo de periodico
Evaluating QM/MM Free Energy Surfaces for Ranking Cysteine Protease Covalent Inhibitors (2020)
Costa, Clauber H. S; Bonatto, Vinícius ; Santos, Alberto M. dos; Lameira, Jerônimo ; Leitão, Andrei ; Montanari, Carlos Alberto
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: 18 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. 18 ] 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. 18 ] Available from: https://doi.org/10.1021/acs.jcim.9b00847
Artigo de periodico
Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters (2020)
Batista, Krys Elly de Araújo ; Restrepo, Vivianne k ; Soares, Marinalva Dias ; Quiles, Marcos Gonçalves ; Piotrowski, Maurício Jeomar ; Silva, Juarez Lopes Ferreira da
Fonte: Journal of Chemical Information and Modeling. Unidade: IQSC
Assunto: CLUSTERS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 18 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. 18 ] 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. 18 ] Available from: https://doi.org/10.1021/acs.jcim.9b00792
Artigo de periodico
Chemical space and diversity of the NuBBE database: a chemoinformatic characterization (2019)
Saldívar-González, Fernanda I.; Valli, Marilia; Andricopulo, Adriano Defini ; Bolzani, Vanderlan S.; Medina-Franco, José L.
Fonte: Journal of Chemical Information and Modeling. Unidade: IFSC
Assuntos: ANTINEOPLÁSICOS, PRODUTOS NATURAIS
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ABNT
SALDÍVAR-GONZÁLEZ, Fernanda I. et al. Chemical space and diversity of the NuBBE database: a chemoinformatic characterization. Journal of Chemical Information and Modeling, v. 59, n. Ja 2019, p. 74-85, 2019Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.8b00619. Acesso em: 18 nov. 2025.
APA
Saldívar-González, F. I., Valli, M., Andricopulo, A. D., Bolzani, V. S., & Medina-Franco, J. L. (2019). Chemical space and diversity of the NuBBE database: a chemoinformatic characterization. Journal of Chemical Information and Modeling, 59( Ja 2019), 74-85. doi:10.1021/acs.jcim.8b00619
NLM
Saldívar-González FI, Valli M, Andricopulo AD, Bolzani VS, Medina-Franco JL. Chemical space and diversity of the NuBBE database: a chemoinformatic characterization [Internet]. Journal of Chemical Information and Modeling. 2019 ; 59( Ja 2019): 74-85.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1021/acs.jcim.8b00619
Vancouver
Saldívar-González FI, Valli M, Andricopulo AD, Bolzani VS, Medina-Franco JL. Chemical space and diversity of the NuBBE database: a chemoinformatic characterization [Internet]. Journal of Chemical Information and Modeling. 2019 ; 59( Ja 2019): 74-85.[citado 2025 nov. 18 ] Available from: https://doi.org/10.1021/acs.jcim.8b00619
Artigo de periodico
SuAVE: A Tool for Analyzing Curvature-Dependent Properties in Chemical Interfaces (2019)
Santos, Denys E. S.; Pontes, Frederico J. S.; Lins, Roberto D. ; Coutinho, Kaline Rabelo ; Soares, Thereza A.
Fonte: Journal of Chemical Information and Modeling. Unidade: IF
Assuntos: FLUÍDOS COMPLEXOS, ENDOCITOSE, MEMBRANAS (BIOLOGIA), BIOTECNOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 18 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. 18 ] 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. 18 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1021/acs.jcim.9b00569
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 18 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. 18 ] 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. 18 ] Available from: https://doi.org/10.1021/acs.jcim.6b00458

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