ReP USP - Resultado da busca

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
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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: 07 nov. 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 nov. 07 ] 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 nov. 07 ] 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: 07 nov. 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 nov. 07 ] 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 nov. 07 ] Available from: https://proceedings.science/p/107235
Artigo de periodico
Support vector machine-based classification of neuroimages in Alzheimer's disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals (2018)
Ferreira, Luiz K; Leite, Claudia C; Bottino, Cassio; Nitrini, Ricardo; Busatto, Geraldo F; Buchpiguel, Carlos A
Source: Revista brasileira de psiquiatria. Unidade: FM
Subjects: TOMOGRAFIA COMPUTADORIZADA POR EMISSÃO DE PÓSITRON, DOENÇA DE ALZHEIMER, DIAGNÓSTICO POR IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Luiz K et al. Support vector machine-based classification of neuroimages in Alzheimer's disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals. Revista brasileira de psiquiatria, v. 40, n. 2, p. 181-191, 2018Tradução . . Disponível em: https://doi.org/10.1590/1516-4446-2016-2083. Acesso em: 07 nov. 2024.
APA
Ferreira, L. K., Leite, C. C., Bottino, C., Nitrini, R., Busatto, G. F., & Buchpiguel, C. A. (2018). Support vector machine-based classification of neuroimages in Alzheimer's disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals. Revista brasileira de psiquiatria, 40( 2), 181-191. doi:10.1590/1516-4446-2016-2083
NLM
Ferreira LK, Leite CC, Bottino C, Nitrini R, Busatto GF, Buchpiguel CA. Support vector machine-based classification of neuroimages in Alzheimer's disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals [Internet]. Revista brasileira de psiquiatria. 2018 ; 40( 2): 181-191.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1590/1516-4446-2016-2083
Vancouver
Ferreira LK, Leite CC, Bottino C, Nitrini R, Busatto GF, Buchpiguel CA. Support vector machine-based classification of neuroimages in Alzheimer's disease: direct comparison of FDG-PET, rCBF-SPECT and MRI data acquired from the same individuals [Internet]. Revista brasileira de psiquiatria. 2018 ; 40( 2): 181-191.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1590/1516-4446-2016-2083

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