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Filtros : "Journal of Biomolecular Structure and Dynamics" "Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)" Removido: "2020" Limpar

Filtros

Artigo de periodico
Exploring the conformational dynamics ofthe CRD4: a model for receptor lysosomalactivity shifts in search of 'sweet’ and ‘sour’states (2024)
Nascimento, Lucas Adriano do ; Ferreira, Glaucio Monteiro ; Ferreira, Elizabeth Igne
Fonte: Journal of Biomolecular Structure and Dynamics. Unidade: FCF
Assuntos: MACRÓFAGOS, SISTEMA IMUNE, LISOSSOMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Lucas Adriano do e FERREIRA, Glaucio Monteiro e FERREIRA, Elizabeth Igne. Exploring the conformational dynamics ofthe CRD4: a model for receptor lysosomalactivity shifts in search of 'sweet’ and ‘sour’states. Journal of Biomolecular Structure and Dynamics, v. 42, n. 12, p. 6448–6454, 2024Tradução . . Disponível em: https://doi.org/10.1080/07391102.2023.2235603. Acesso em: 24 nov. 2025.
APA
Nascimento, L. A. do, Ferreira, G. M., & Ferreira, E. I. (2024). Exploring the conformational dynamics ofthe CRD4: a model for receptor lysosomalactivity shifts in search of 'sweet’ and ‘sour’states. Journal of Biomolecular Structure and Dynamics, 42( 12), 6448–6454. doi:10.1080/07391102.2023.2235603
NLM
Nascimento LA do, Ferreira GM, Ferreira EI. Exploring the conformational dynamics ofthe CRD4: a model for receptor lysosomalactivity shifts in search of 'sweet’ and ‘sour’states [Internet]. Journal of Biomolecular Structure and Dynamics. 2024 ; 42( 12): 6448–6454.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/07391102.2023.2235603
Vancouver
Nascimento LA do, Ferreira GM, Ferreira EI. Exploring the conformational dynamics ofthe CRD4: a model for receptor lysosomalactivity shifts in search of 'sweet’ and ‘sour’states [Internet]. Journal of Biomolecular Structure and Dynamics. 2024 ; 42( 12): 6448–6454.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/07391102.2023.2235603
Artigo de periodico
Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors (2023)
Sousa, Gustavo Henrique Marques; Gomes, Renan Augusto; Oliveira, Eliseu Ortega de; Trossini, Gustavo Henrique Goulart
Fonte: Journal of Biomolecular Structure and Dynamics. Unidade: FCF
Assuntos: APRENDIZADO COMPUTACIONAL, RELAÇÕES QUANTITATIVAS ENTRE ESTRUTURA QUÍMICA E ATIVIDADE BIOLÓGICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUSA, Gustavo Henrique Marques et al. Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors. Journal of Biomolecular Structure and Dynamics, v. 41, n. 20, p. 10277-10286, 2023Tradução . . Disponível em: https://doi.org/10.1080/07391102.2022.2154269. Acesso em: 24 nov. 2025.
APA
Sousa, G. H. M., Gomes, R. A., Oliveira, E. O. de, & Trossini, G. H. G. (2023). Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors. Journal of Biomolecular Structure and Dynamics, 41( 20), 10277-10286. doi:10.1080/07391102.2022.2154269
NLM
Sousa GHM, Gomes RA, Oliveira EO de, Trossini GHG. Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors [Internet]. Journal of Biomolecular Structure and Dynamics. 2023 ; 41( 20): 10277-10286.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/07391102.2022.2154269
Vancouver
Sousa GHM, Gomes RA, Oliveira EO de, Trossini GHG. Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors [Internet]. Journal of Biomolecular Structure and Dynamics. 2023 ; 41( 20): 10277-10286.[citado 2025 nov. 24 ] Available from: https://doi.org/10.1080/07391102.2022.2154269

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