ReP USP - Resultado da busca

Artigo de periodico
Discovery of PLpro and Mpro Inhibitors for SARS-CoV-2 (2023)
Puhl, Ana Cristina ; Godoy, Andre Schutzer de ; Noske, Gabriela Dias; Nakamura, Aline Minali; Gawriljuk, Victor Oliveira; Fernandes, Rafaela Sachetto ; Oliva, Glaucius ; Ekins, Sean
Source: ACS Omega. Unidade: IFSC
Subjects: COVID-19, PEPTÍDEOS, AGENTES ANTIMICROBIANOS, PLANEJAMENTO DE FÁRMACOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PUHL, Ana Cristina et al. Discovery of PLpro and Mpro Inhibitors for SARS-CoV-2. ACS Omega, v. 8, n. 25, p. 22603-22612, 2023Tradução . . Disponível em: https://doi.org/10.1021/acsomega.3c01110. Acesso em: 14 maio 2024.
APA
Puhl, A. C., Godoy, A. S. de, Noske, G. D., Nakamura, A. M., Gawriljuk, V. O., Fernandes, R. S., et al. (2023). Discovery of PLpro and Mpro Inhibitors for SARS-CoV-2. ACS Omega, 8( 25), 22603-22612. doi:10.1021/acsomega.3c01110
NLM
Puhl AC, Godoy AS de, Noske GD, Nakamura AM, Gawriljuk VO, Fernandes RS, Oliva G, Ekins S. Discovery of PLpro and Mpro Inhibitors for SARS-CoV-2 [Internet]. ACS Omega. 2023 ; 8( 25): 22603-22612.[citado 2024 maio 14 ] Available from: https://doi.org/10.1021/acsomega.3c01110
Vancouver
Puhl AC, Godoy AS de, Noske GD, Nakamura AM, Gawriljuk VO, Fernandes RS, Oliva G, Ekins S. Discovery of PLpro and Mpro Inhibitors for SARS-CoV-2 [Internet]. ACS Omega. 2023 ; 8( 25): 22603-22612.[citado 2024 maio 14 ] Available from: https://doi.org/10.1021/acsomega.3c01110
Artigo de periodico
The protein disulfide isomerase inhibitor 3-methyltoxoflavin inhibits Chikungunya virus (2023)
Puhl, Ana Cristina ; Fernandes, Rafaela Sachetto ; Godoy, Andre Schutzer de ; Gil, Laura Helena Vega Gonzales; Oliva, Glaucius ; Ekins, Sean
Source: Bioorganic and Medicinal Chemistry. Unidade: IFSC
Subjects: VÍRUS CHIKUNGUNYA, PROTEÍNAS, INIBIDORES DE ENZIMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PUHL, Ana Cristina et al. The protein disulfide isomerase inhibitor 3-methyltoxoflavin inhibits Chikungunya virus. Bioorganic and Medicinal Chemistry, v. 83, p. 117239-1-117239-8 + supplementary data, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.bmc.2023.117239. Acesso em: 14 maio 2024.
APA
Puhl, A. C., Fernandes, R. S., Godoy, A. S. de, Gil, L. H. V. G., Oliva, G., & Ekins, S. (2023). The protein disulfide isomerase inhibitor 3-methyltoxoflavin inhibits Chikungunya virus. Bioorganic and Medicinal Chemistry, 83, 117239-1-117239-8 + supplementary data. doi:10.1016/j.bmc.2023.117239
NLM
Puhl AC, Fernandes RS, Godoy AS de, Gil LHVG, Oliva G, Ekins S. The protein disulfide isomerase inhibitor 3-methyltoxoflavin inhibits Chikungunya virus [Internet]. Bioorganic and Medicinal Chemistry. 2023 ; 83 117239-1-117239-8 + supplementary data.[citado 2024 maio 14 ] Available from: https://doi.org/10.1016/j.bmc.2023.117239
Vancouver
Puhl AC, Fernandes RS, Godoy AS de, Gil LHVG, Oliva G, Ekins S. The protein disulfide isomerase inhibitor 3-methyltoxoflavin inhibits Chikungunya virus [Internet]. Bioorganic and Medicinal Chemistry. 2023 ; 83 117239-1-117239-8 + supplementary data.[citado 2024 maio 14 ] Available from: https://doi.org/10.1016/j.bmc.2023.117239
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
Source: Journal of Chemical Information and Modeling. Unidade: IFSC
Subjects: 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: 14 maio 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 maio 14 ] 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 maio 14 ] Available from: https://doi.org/10.1021/acs.jcim.2c00596
Artigo de periodico
Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins (2022)
Mottin, Melina; Caesar, Lindsay K.; Brodsky, David; Mesquita, Nathalya Cristina de Moraes Roso; Oliveira, Ketllyn Irene Zagato de; Noske, Gabriela Dias; Sousa, Bruna K. P.; Ramos, Paulo R. P. S.; Jarmer, Hannah; Loh, Bonnie; Zorn, Kimberley M.; Foil, Daniel H.; Torres, Pedro M.; Guido, Rafael Victorio Carvalho ; Oliva, Glaucius ; Scholle, Frank; Ekins, Sean; Cech, Nadja B.; Andrade, Carolina Horta; Laster, Scott M.
Source: Bioorganic Chemistry. Unidade: IFSC
Subjects: ZIKA VÍRUS, PRODUTOS NATURAIS, FLAVIVIRIDAE, ENZIMAS, PROTEÍNAS, FARMACOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTIN, Melina et al. Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins. Bioorganic Chemistry, v. 120, p. 105649-1-105649-12 + supplementary data: 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.bioorg.2022.105649. Acesso em: 14 maio 2024.
APA
Mottin, M., Caesar, L. K., Brodsky, D., Mesquita, N. C. de M. R., Oliveira, K. I. Z. de, Noske, G. D., et al. (2022). Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins. Bioorganic Chemistry, 120, 105649-1-105649-12 + supplementary data: 1-13. doi:10.1016/j.bioorg.2022.105649
NLM
Mottin M, Caesar LK, Brodsky D, Mesquita NC de MR, Oliveira KIZ de, Noske GD, Sousa BKP, Ramos PRPS, Jarmer H, Loh B, Zorn KM, Foil DH, Torres PM, Guido RVC, Oliva G, Scholle F, Ekins S, Cech NB, Andrade CH, Laster SM. Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins [Internet]. Bioorganic Chemistry. 2022 ; 120 105649-1-105649-12 + supplementary data: 1-13.[citado 2024 maio 14 ] Available from: https://doi.org/10.1016/j.bioorg.2022.105649
Vancouver
Mottin M, Caesar LK, Brodsky D, Mesquita NC de MR, Oliveira KIZ de, Noske GD, Sousa BKP, Ramos PRPS, Jarmer H, Loh B, Zorn KM, Foil DH, Torres PM, Guido RVC, Oliva G, Scholle F, Ekins S, Cech NB, Andrade CH, Laster SM. Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins [Internet]. Bioorganic Chemistry. 2022 ; 120 105649-1-105649-12 + supplementary data: 1-13.[citado 2024 maio 14 ] Available from: https://doi.org/10.1016/j.bioorg.2022.105649
Artigo de periodico
Quantum machine learning algorithms for drug discovery applications (2021)
Batra, Kushal; Zorn, Kimberley M.; Foil, Daniel H.; Minerali, Eni; Gawriljuk, Victor Oliveira; Lane, Thomas R.; Ekins, Sean
Source: Journal of Chemical Information and Modeling. Unidade: IFSC
Subjects: PLANEJAMENTO DE FÁRMACOS, COMPUTAÇÃO APLICADA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATRA, Kushal et al. Quantum machine learning algorithms for drug discovery applications. Journal of Chemical Information and Modeling, v. 61, n. 6, p. 2641-2647, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c00166. Acesso em: 14 maio 2024.
APA
Batra, K., Zorn, K. M., Foil, D. H., Minerali, E., Gawriljuk, V. O., Lane, T. R., & Ekins, S. (2021). Quantum machine learning algorithms for drug discovery applications. Journal of Chemical Information and Modeling, 61( 6), 2641-2647. doi:10.1021/acs.jcim.1c00166
NLM
Batra K, Zorn KM, Foil DH, Minerali E, Gawriljuk VO, Lane TR, Ekins S. Quantum machine learning algorithms for drug discovery applications [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 6): 2641-2647.[citado 2024 maio 14 ] Available from: https://doi.org/10.1021/acs.jcim.1c00166
Vancouver
Batra K, Zorn KM, Foil DH, Minerali E, Gawriljuk VO, Lane TR, Ekins S. Quantum machine learning algorithms for drug discovery applications [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 6): 2641-2647.[citado 2024 maio 14 ] Available from: https://doi.org/10.1021/acs.jcim.1c00166
Artigo de periodico
Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus (2021)
Oliveira, Victor Gawriljuk Ferraro; Foil, Daniel H.; Puhl, Ana C. ; Zorn, Kimberley M.; Lane, Thomas R.; Riabova, Olga; Makarov, Vadim; Godoy, Andre Schutzer de ; Oliva, Glaucius ; Ekins, Sean
Source: Journal of Chemical Information and Modeling. Unidade: IFSC
Subjects: FEBRE AMARELA, 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. Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus. Journal of Chemical Information and Modeling, v. 61, n. 8, p. 3804-3813, 2021Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.1c00460. Acesso em: 14 maio 2024.
APA
Oliveira, V. G. F., Foil, D. H., Puhl, A. C., Zorn, K. M., Lane, T. R., Riabova, O., et al. (2021). Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus. Journal of Chemical Information and Modeling, 61( 8), 3804-3813. doi:10.1021/acs.jcim.1c00460
NLM
Oliveira VGF, Foil DH, Puhl AC, Zorn KM, Lane TR, Riabova O, Makarov V, Godoy AS de, Oliva G, Ekins S. Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 8): 3804-3813.[citado 2024 maio 14 ] Available from: https://doi.org/10.1021/acs.jcim.1c00460
Vancouver
Oliveira VGF, Foil DH, Puhl AC, Zorn KM, Lane TR, Riabova O, Makarov V, Godoy AS de, Oliva G, Ekins S. Development of machine learning models and the discovery of a new antiviral compound against yellow fever virus [Internet]. Journal of Chemical Information and Modeling. 2021 ; 61( 8): 3804-3813.[citado 2024 maio 14 ] Available from: https://doi.org/10.1021/acs.jcim.1c00460
Artigo de periodico
Flavonoids from Pterogyne nitens as Zika virus NS2B-NS3 protease inhibitors (2021)
Lima, Caroline Sprengel; Mottin, Melina; Assis, Leticia Ribeiro de; Mesquita, Nathalya Cristina de Moraes Roso; Sousa, Bruna Katiele de Paula; Coimbra, Lais Durco; Santos, Karina Bispo dos; Zorn, Kimberley M.; Guido, Rafael Victorio Carvalho ; Ekins, Sean; Marques, Rafael Elias; Proença-Modena, José Luiz; Oliva, Glaucius ; Andrade, Carolina Horta; Regasini, Luis Octavio
Source: Bioorganic Chemistry. Unidade: IFSC
Subjects: ZIKA VÍRUS, PRODUTOS NATURAIS, FLAVIVIRIDAE, ENZIMAS, PROTEÍNAS, FARMACOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Caroline Sprengel et al. Flavonoids from Pterogyne nitens as Zika virus NS2B-NS3 protease inhibitors. Bioorganic Chemistry, v. 109, p. 104719-1-104719-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.bioorg.2021.104719. Acesso em: 14 maio 2024.
APA
Lima, C. S., Mottin, M., Assis, L. R. de, Mesquita, N. C. de M. R., Sousa, B. K. de P., Coimbra, L. D., et al. (2021). Flavonoids from Pterogyne nitens as Zika virus NS2B-NS3 protease inhibitors. Bioorganic Chemistry, 109, 104719-1-104719-9. doi:10.1016/j.bioorg.2021.104719
NLM
Lima CS, Mottin M, Assis LR de, Mesquita NC de MR, Sousa BK de P, Coimbra LD, Santos KB dos, Zorn KM, Guido RVC, Ekins S, Marques RE, Proença-Modena JL, Oliva G, Andrade CH, Regasini LO. Flavonoids from Pterogyne nitens as Zika virus NS2B-NS3 protease inhibitors [Internet]. Bioorganic Chemistry. 2021 ; 109 104719-1-104719-9.[citado 2024 maio 14 ] Available from: https://doi.org/10.1016/j.bioorg.2021.104719
Vancouver
Lima CS, Mottin M, Assis LR de, Mesquita NC de MR, Sousa BK de P, Coimbra LD, Santos KB dos, Zorn KM, Guido RVC, Ekins S, Marques RE, Proença-Modena JL, Oliva G, Andrade CH, Regasini LO. Flavonoids from Pterogyne nitens as Zika virus NS2B-NS3 protease inhibitors [Internet]. Bioorganic Chemistry. 2021 ; 109 104719-1-104719-9.[citado 2024 maio 14 ] Available from: https://doi.org/10.1016/j.bioorg.2021.104719
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
Source: Journal of Chemical Information and Modeling. Unidade: IFSC
Subjects: 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: 14 maio 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 maio 14 ] 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 maio 14 ] 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
Source: Anais. Conference titles: Reunião Anual Virtual da Sociedade Brasileira de Química - RASBQ. Unidade: IFSC
Subjects: 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: 14 maio 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 maio 14 ] 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 maio 14 ] 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
Artigo de periodico
A diarylamine derived from anthranilic acid inhibits ZIKV replication (2019)
Silva, Suely; Shimizu, Jacqueline Farinha; Oliveira, Débora Moraes de; Assis, Leticia Ribeiro de; Bittar, Cintia; Mottin, Melina; Sousa, Bruna Katiele de Paula; Mesquita, Nathalya Cristina de Moraes Roso; Regasini, Luis Octávio; Rahal, Paula; Oliva, Glaucius ; Perryman, Alexander Luke; Ekins, Sean; Andrade, Carolina Horta; Goulart, Luiz Ricardo; Sabino-Silva, Robinson; Merits, Andres; Harris, Mark; Jardim, Ana Carolina Gomes
Source: Scientific Reports. Unidade: IFSC
Subjects: ANTIVIRAIS, ZIKA VÍRUS, FLAVIVIRUS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Suely et al. A diarylamine derived from anthranilic acid inhibits ZIKV replication. Scientific Reports, v. 9, p. 17703-1-17703-12, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-54169-z. Acesso em: 14 maio 2024.
APA
Silva, S., Shimizu, J. F., Oliveira, D. M. de, Assis, L. R. de, Bittar, C., Mottin, M., et al. (2019). A diarylamine derived from anthranilic acid inhibits ZIKV replication. Scientific Reports, 9, 17703-1-17703-12. doi:10.1038/s41598-019-54169-z
NLM
Silva S, Shimizu JF, Oliveira DM de, Assis LR de, Bittar C, Mottin M, Sousa BK de P, Mesquita NC de MR, Regasini LO, Rahal P, Oliva G, Perryman AL, Ekins S, Andrade CH, Goulart LR, Sabino-Silva R, Merits A, Harris M, Jardim ACG. A diarylamine derived from anthranilic acid inhibits ZIKV replication [Internet]. Scientific Reports. 2019 ; 9 17703-1-17703-12.[citado 2024 maio 14 ] Available from: https://doi.org/10.1038/s41598-019-54169-z
Vancouver
Silva S, Shimizu JF, Oliveira DM de, Assis LR de, Bittar C, Mottin M, Sousa BK de P, Mesquita NC de MR, Regasini LO, Rahal P, Oliva G, Perryman AL, Ekins S, Andrade CH, Goulart LR, Sabino-Silva R, Merits A, Harris M, Jardim ACG. A diarylamine derived from anthranilic acid inhibits ZIKV replication [Internet]. Scientific Reports. 2019 ; 9 17703-1-17703-12.[citado 2024 maio 14 ] Available from: https://doi.org/10.1038/s41598-019-54169-z
Trabalho de evento-resumo
Discovery of flavonoids from Pterogyne nitens with potent activity against Zika virus protease and helicase (2019)
Mottin, Melina; Lima, Caroline S.; Mesquita, Nathalya Cristina de Moraes Roso; Zorn, Kimberley M.; Ekins, Sean; Oliva, Glaucius ; Regasini, Luís O.; Andrade, Carolina Horta
Source: Anais eletrônicos. Conference titles: Brazilian Symposium on Medicinal Chemistry - BrazMedChem. Unidade: IFSC
Subjects: ZIKA VÍRUS, PRODUTOS NATURAIS, ENZIMAS, ANTIVIRAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTIN, Melina et al. Discovery of flavonoids from Pterogyne nitens with potent activity against Zika virus protease and helicase. 2019, Anais.. Campinas: Galoá, 2019. Disponível em: https://proceedings.science/p/107236. Acesso em: 14 maio 2024.
APA
Mottin, M., Lima, C. S., Mesquita, N. C. de M. R., Zorn, K. M., Ekins, S., Oliva, G., et al. (2019). Discovery of flavonoids from Pterogyne nitens with potent activity against Zika virus protease and helicase. In Anais eletrônicos. Campinas: Galoá. Recuperado de https://proceedings.science/p/107236
NLM
Mottin M, Lima CS, Mesquita NC de MR, Zorn KM, Ekins S, Oliva G, Regasini LO, Andrade CH. Discovery of flavonoids from Pterogyne nitens with potent activity against Zika virus protease and helicase [Internet]. Anais eletrônicos. 2019 ;[citado 2024 maio 14 ] Available from: https://proceedings.science/p/107236
Vancouver
Mottin M, Lima CS, Mesquita NC de MR, Zorn KM, Ekins S, Oliva G, Regasini LO, Andrade CH. Discovery of flavonoids from Pterogyne nitens with potent activity against Zika virus protease and helicase [Internet]. Anais eletrônicos. 2019 ;[citado 2024 maio 14 ] Available from: https://proceedings.science/p/107236
Trabalho de evento-resumo
Discovery of new Zika virus candidates: natural products from Angelica keiskei with activity against NS2B-NS3 protease (2019)
Sousa, Bruna K. P.; Mottin, Melina; Brodsky, David; Caesar, Lindsay; Mesquita, Nathalya Cristina de Moraes Roso; Zorn, Kimberley M.; Cech, Nadja; Oliva, Glaucius ; Ekins, Sean; Laster, Scott; Andrade, Carolina Horta
Source: Anais eletrônicos. Conference titles: Brazilian Symposium on Medicinal Chemistry - BrazMedChem. Unidade: IFSC
Subjects: 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 new Zika virus candidates: natural products from Angelica keiskei with activity against NS2B-NS3 protease. 2019, Anais.. Campinas: Galoá, 2019. Disponível em: https://proceedings.science/p/107235. Acesso em: 14 maio 2024.
APA
Sousa, B. K. P., Mottin, M., Brodsky, D., Caesar, L., Mesquita, N. C. de M. R., Zorn, K. M., et al. (2019). Discovery of new Zika virus candidates: natural products from Angelica keiskei with activity against NS2B-NS3 protease. In Anais eletrônicos. Campinas: Galoá. Recuperado de https://proceedings.science/p/107235
NLM
Sousa BKP, Mottin M, Brodsky D, Caesar L, Mesquita NC de MR, Zorn KM, Cech N, Oliva G, Ekins S, Laster S, Andrade CH. Discovery of new Zika virus candidates: natural products from Angelica keiskei with activity against NS2B-NS3 protease [Internet]. Anais eletrônicos. 2019 ;[citado 2024 maio 14 ] Available from: https://proceedings.science/p/107235
Vancouver
Sousa BKP, Mottin M, Brodsky D, Caesar L, Mesquita NC de MR, Zorn KM, Cech N, Oliva G, Ekins S, Laster S, Andrade CH. Discovery of new Zika virus candidates: natural products from Angelica keiskei with activity against NS2B-NS3 protease [Internet]. Anais eletrônicos. 2019 ;[citado 2024 maio 14 ] Available from: https://proceedings.science/p/107235
Trabalho de evento-resumo
OpenZika: discovery of new antiviral candidates against Zika virus (2018)
Mottin, Melina; Carvalho, Amanda S.; Melo-Filho, Cleber C.; Neves, Bruno J.; Braga, Rodolpho C.; Lima, Caroline S.; Silva, Suely da; Shimizu, Jacqueline F.; Mesquita, Nathalya C. M. R.; Regasini, Luis O.; Jardim, Ana C.; Muratov, Eugene; Oliva, Glaucius; Perryman, Alexander L.; Ekins, Sean; Andrade, Carolina Horta
Source: Abstracts. Conference titles: ACS National Meeting and Exposition. Unidade: IFSC
Subjects: ANTIVIRAIS, ZIKA VÍRUS, FLAVIVIRUS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTIN, Melina et al. OpenZika: discovery of new antiviral candidates against Zika virus. 2018, Anais.. Washington, DC: American Chemical Society - ACS, 2018. Disponível em: https://plan.core-apps.com/acsboston18/abstract/21fce65b-dede-4f12-92b8-c6700f6cc235. Acesso em: 14 maio 2024.
APA
Mottin, M., Carvalho, A. S., Melo-Filho, C. C., Neves, B. J., Braga, R. C., Lima, C. S., et al. (2018). OpenZika: discovery of new antiviral candidates against Zika virus. In Abstracts. Washington, DC: American Chemical Society - ACS. Recuperado de https://plan.core-apps.com/acsboston18/abstract/21fce65b-dede-4f12-92b8-c6700f6cc235
NLM
Mottin M, Carvalho AS, Melo-Filho CC, Neves BJ, Braga RC, Lima CS, Silva S da, Shimizu JF, Mesquita NCMR, Regasini LO, Jardim AC, Muratov E, Oliva G, Perryman AL, Ekins S, Andrade CH. OpenZika: discovery of new antiviral candidates against Zika virus [Internet]. Abstracts. 2018 ;[citado 2024 maio 14 ] Available from: https://plan.core-apps.com/acsboston18/abstract/21fce65b-dede-4f12-92b8-c6700f6cc235
Vancouver
Mottin M, Carvalho AS, Melo-Filho CC, Neves BJ, Braga RC, Lima CS, Silva S da, Shimizu JF, Mesquita NCMR, Regasini LO, Jardim AC, Muratov E, Oliva G, Perryman AL, Ekins S, Andrade CH. OpenZika: discovery of new antiviral candidates against Zika virus [Internet]. Abstracts. 2018 ;[citado 2024 maio 14 ] Available from: https://plan.core-apps.com/acsboston18/abstract/21fce65b-dede-4f12-92b8-c6700f6cc235

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Date published

Subjects

Source title

Grupo de pesquisa

Funding Agencies

Normalized affiliation

Non normalized affiliation