Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors (2023)
- Authors:
- USP affiliated authors: TROSSINI, GUSTAVO HENRIQUE GOULART - FCF ; SOUSA, GUSTAVO HENRIQUE MARQUES - FCF
- Unidade: FCF
- Subjects: DEPRESSÃO; MEDICAMENTO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Química/SBQ
- Publisher place: São Paulo
- Date published: 2023
- Source:
- Título: Anais
- Conference titles: Reunião Anual da Sociedade Brasileira de Química/RASBQ
-
ABNT
SOUSA, Gustavo Henrique Marques et al. Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors. 2023, Anais.. São Paulo: Sociedade Brasileira de Química/SBQ, 2023. Disponível em: https://www.sbq.org.br/46ra/anexos/anais-46rasbq.pdf. Acesso em: 12 fev. 2026. -
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. In Anais. São Paulo: Sociedade Brasileira de Química/SBQ. Recuperado de https://www.sbq.org.br/46ra/anexos/anais-46rasbq.pdf -
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]. Anais. 2023 ;[citado 2026 fev. 12 ] Available from: https://www.sbq.org.br/46ra/anexos/anais-46rasbq.pdf -
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]. Anais. 2023 ;[citado 2026 fev. 12 ] Available from: https://www.sbq.org.br/46ra/anexos/anais-46rasbq.pdf - Quantitative structure-activity relationship studies of a heterocyclic amine series with in vitro antidepressant activity
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