Quantitative structure-activity relationship studies of a heterocyclic amine series with in vitro antidepressant activity (2022)
- Authors:
- USP affiliated authors: TROSSINI, GUSTAVO HENRIQUE GOULART - FCF ; SOUSA, GUSTAVO HENRIQUE MARQUES - FCF
- Unidade: FCF
- Subjects: AMINAS; DEPRESSÃO
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Química/SBQ
- Publisher place: São Paulo
- Date published: 2022
- Source:
- Título: Anais
- Conference titles: Reunião Anual da Sociedade Brasileira de Química
-
ABNT
SOUSA, Gustavo Henrique Marques e GOMES, Renan Augusto e TROSSINI, Gustavo Henrique Goulart. Quantitative structure-activity relationship studies of a heterocyclic amine series with in vitro antidepressant activity. 2022, Anais.. São Paulo: Sociedade Brasileira de Química/SBQ, 2022. Disponível em: http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf. Acesso em: 10 mar. 2026. -
APA
Sousa, G. H. M., Gomes, R. A., & Trossini, G. H. G. (2022). Quantitative structure-activity relationship studies of a heterocyclic amine series with in vitro antidepressant activity. In Anais. São Paulo: Sociedade Brasileira de Química/SBQ. Recuperado de http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf -
NLM
Sousa GHM, Gomes RA, Trossini GHG. Quantitative structure-activity relationship studies of a heterocyclic amine series with in vitro antidepressant activity [Internet]. Anais. 2022 ;[citado 2026 mar. 10 ] Available from: http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf -
Vancouver
Sousa GHM, Gomes RA, Trossini GHG. Quantitative structure-activity relationship studies of a heterocyclic amine series with in vitro antidepressant activity [Internet]. Anais. 2022 ;[citado 2026 mar. 10 ] Available from: http://www.sbq.org.br/45ra/anexos/45RASBQ_resumos.pdf - Machine learning methods applied for the prediction of biological activities of triple reuptake inhibitors
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