Source: Journal of Biomolecular Structure and Dynamics. Unidade: FCF
Subjects: APRENDIZADO COMPUTACIONAL, RELAÇÕES QUANTITATIVAS ENTRE ESTRUTURA QUÍMICA E ATIVIDADE BIOLÓGICA
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: 06 nov. 2024.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:10.1080/07391102.2022.2154269NLM
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 2024 nov. 06 ] Available from: https://doi.org/10.1080/07391102.2022.2154269Vancouver
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 2024 nov. 06 ] Available from: https://doi.org/10.1080/07391102.2022.2154269