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Artigo de periodico
Discovery of new Zika protease and polymerase inhibitors through the open science collaboration Project OpenZika (2022)
Mottin, Melina ; Sousa, Bruna Katiele de Paula ; Mesquita, Nathalya Cristina de Moraes Roso; Oliveira, Ketllyn Irene Zagato de; Noske, Gabriela Dias; Sartori, Geraldo Rodrigues ; Albuquerque, Aline de Oliveira; Urbina, Fabio; Puhl, Ana C. ; Moreira Filho, José Teófilo; Souza, Guilherme Eduardo de ; Guido, Rafael Victorio Carvalho ; Muratov, Eugene ; Neves, Bruno Junior ; Silva, João Hermínio Martins da ; Clark, Alex E.; Siqueira Neto, Jair L. ; Perryman, Alexander L.; Oliva, Glaucius ; Ekins, Sean ; Andrade, Carolina Horta
Fonte: Journal of Chemical Information and Modeling. Unidade: IFSC
Assuntos: ZIKA VÍRUS, PLANEJAMENTO DE FÁRMACOS, ANTIVIRAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTIN, Melina et al. Discovery of new Zika protease and polymerase inhibitors through the open science collaboration Project OpenZika. Journal of Chemical Information and Modeling, v. 62, n. 24, p. 6825-6843, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00596. Acesso em: 02 jul. 2024.
APA
Mottin, M., Sousa, B. K. de P., Mesquita, N. C. de M. R., Oliveira, K. I. Z. de, Noske, G. D., Sartori, G. R., et al. (2022). Discovery of new Zika protease and polymerase inhibitors through the open science collaboration Project OpenZika. Journal of Chemical Information and Modeling, 62( 24), 6825-6843. doi:10.1021/acs.jcim.2c00596
NLM
Mottin M, Sousa BK de P, Mesquita NC de MR, Oliveira KIZ de, Noske GD, Sartori GR, Albuquerque A de O, Urbina F, Puhl AC, Moreira Filho JT, Souza GE de, Guido RVC, Muratov E, Neves BJ, Silva JHM da, Clark AE, Siqueira Neto JL, Perryman AL, Oliva G, Ekins S, Andrade CH. Discovery of new Zika protease and polymerase inhibitors through the open science collaboration Project OpenZika [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6825-6843.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1021/acs.jcim.2c00596
Vancouver
Mottin M, Sousa BK de P, Mesquita NC de MR, Oliveira KIZ de, Noske GD, Sartori GR, Albuquerque A de O, Urbina F, Puhl AC, Moreira Filho JT, Souza GE de, Guido RVC, Muratov E, Neves BJ, Silva JHM da, Clark AE, Siqueira Neto JL, Perryman AL, Oliva G, Ekins S, Andrade CH. Discovery of new Zika protease and polymerase inhibitors through the open science collaboration Project OpenZika [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 24): 6825-6843.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1021/acs.jcim.2c00596
Artigo de periodico
Machine learning models identify inhibitors of SARS-CoV2 (2021)
Oliveira, Victor Gawriljuk Ferraro; Zin, Phyo Phyo Kyaw; Puhl, Ana C. ; Zorn, Kimberley M.; Foil, Daniel H.; Lane, Thomas R.; Hurst, Brett; Tavella, Tatyana Almeida; Costa, Fabio Trindade Maranhão; Lakshmanane, Premkumar; Bernatchez, Jean; Godoy, Andre Schutzer de ; Oliva, Glaucius ; Siqueira-Neto, Jair L.; Madrid, Peter B.; Ekins, Sean
Fonte: Journal of Chemical Information and Modeling. Unidade: IFSC
Assuntos: CORONAVIRUS, COVID-19, APRENDIZADO COMPUTACIONAL, PLANEJAMENTO DE FÁRMACOS, ANTIVIRAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Victor Gawriljuk Ferraro et al. Machine learning models identify inhibitors of SARS-CoV2. Journal of Chemical Information and Modeling, v. 61, n. 9, p. 4224-4235, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c00683. Acesso em: 02 jul. 2024.
APA
Oliveira, V. G. F., Zin, P. P. K., Puhl, A. C., Zorn, K. M., Foil, D. H., Lane, T. R., et al. (2021). Machine learning models identify inhibitors of SARS-CoV2. Journal of Chemical Information and Modeling, 61( 9), 4224-4235. doi:10.1021/acs.jcim.1c00683
NLM
Oliveira VGF, Zin PPK, Puhl AC, Zorn KM, Foil DH, Lane TR, Hurst B, Tavella TA, Costa FTM, Lakshmanane P, Bernatchez J, Godoy AS de, Oliva G, Siqueira-Neto JL, Madrid PB, Ekins S. Machine learning models identify inhibitors of SARS-CoV2 [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 9): 4224-4235.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1021/acs.jcim.1c00683
Vancouver
Oliveira VGF, Zin PPK, Puhl AC, Zorn KM, Foil DH, Lane TR, Hurst B, Tavella TA, Costa FTM, Lakshmanane P, Bernatchez J, Godoy AS de, Oliva G, Siqueira-Neto JL, Madrid PB, Ekins S. Machine learning models identify inhibitors of SARS-CoV2 [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 9): 4224-4235.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1021/acs.jcim.1c00683
Trabalho de evento-resumo
Discovery of novel Zika virus NS3 protein inhibitors through the integration of docking, machine learning models and experimental evaluation (2020)
Sousa, Bruna K. P.; Mottin, Melina; Bernatchez, Jean; Mesquita, Nathalya Cristina de Moraes Roso; Zhu, Zhe; Rich, Jeremy; Clark, Alex E.; Zorn, Kimberley M.; Foil, Daniel; Sartori, Geraldo R.; Albuquerque, Aline O.; Silva, João H. M. da; Neves, Bruno J.; Muratov, Eugene; Oliva, Glaucius ; Siqueira Neto, Jair; Ekins, Sean; Andrade, Carolina Horta
Fonte: Anais. Nome do evento: Reunião Anual Virtual da Sociedade Brasileira de Química - RASBQ. Unidade: IFSC
Assuntos: ZIKA VÍRUS, PRODUTOS NATURAIS, ENZIMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Bruna K. P. et al. Discovery of novel Zika virus NS3 protein inhibitors through the integration of docking, machine learning models and experimental evaluation. 2020, Anais.. Campinas: Galoá, 2020. Disponível em: https://proceedings.science/rasbq-2020/papers/discovery-of-novel-zika-virus-ns3-protein-inhibitors-through-the-integration-of-docking--machine-learning-models-and-exp. Acesso em: 02 jul. 2024.
APA
Sousa, B. K. P., Mottin, M., Bernatchez, J., Mesquita, N. C. de M. R., Zhu, Z., Rich, J., et al. (2020). Discovery of novel Zika virus NS3 protein inhibitors through the integration of docking, machine learning models and experimental evaluation. In Anais. Campinas: Galoá. Recuperado de https://proceedings.science/rasbq-2020/papers/discovery-of-novel-zika-virus-ns3-protein-inhibitors-through-the-integration-of-docking--machine-learning-models-and-exp
NLM
Sousa BKP, Mottin M, Bernatchez J, Mesquita NC de MR, Zhu Z, Rich J, Clark AE, Zorn KM, Foil D, Sartori GR, Albuquerque AO, Silva JHM da, Neves BJ, Muratov E, Oliva G, Siqueira Neto J, Ekins S, Andrade CH. Discovery of novel Zika virus NS3 protein inhibitors through the integration of docking, machine learning models and experimental evaluation [Internet]. Anais. 2020 ;[citado 2024 jul. 02 ] Available from: https://proceedings.science/rasbq-2020/papers/discovery-of-novel-zika-virus-ns3-protein-inhibitors-through-the-integration-of-docking--machine-learning-models-and-exp
Vancouver
Sousa BKP, Mottin M, Bernatchez J, Mesquita NC de MR, Zhu Z, Rich J, Clark AE, Zorn KM, Foil D, Sartori GR, Albuquerque AO, Silva JHM da, Neves BJ, Muratov E, Oliva G, Siqueira Neto J, Ekins S, Andrade CH. Discovery of novel Zika virus NS3 protein inhibitors through the integration of docking, machine learning models and experimental evaluation [Internet]. Anais. 2020 ;[citado 2024 jul. 02 ] Available from: https://proceedings.science/rasbq-2020/papers/discovery-of-novel-zika-virus-ns3-protein-inhibitors-through-the-integration-of-docking--machine-learning-models-and-exp

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