Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds (2010)
- Authors:
- USP affiliated authors: ROMERO, ROSELI APARECIDA FRANCELIN - ICMC ; HONORIO, KÁTHIA MARIA - EACH ; SILVA, ALBÉRICO BORGES FERREIRA DA - IQSC
- Unidades: ICMC; EACH; IQSC
- DOI: 10.1111/j.1747-0285.2010.00966.x
- Subjects: Cannabinoids; ESTRUTURA QUÍMICA
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Chemical Biology & Drug Design
- ISSN: 1747-0277
- Volume/Número/Paginação/Ano: v. 75, n. 6, p. 632-640, 2010
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
HONÓRIO, Kathia Maria et al. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds. Chemical Biology & Drug Design, v. 75, n. 6, p. 632-640, 2010Tradução . . Disponível em: https://doi.org/10.1111/j.1747-0285.2010.00966.x. Acesso em: 23 abr. 2024. -
APA
Honório, K. M., Lima, E. F. de, Quiles, M. G., Romero, R. A. F., Molfetta, F. A. de, & Silva, A. B. F. da. (2010). Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds. Chemical Biology & Drug Design, 75( 6), 632-640. doi:10.1111/j.1747-0285.2010.00966.x -
NLM
Honório KM, Lima EF de, Quiles MG, Romero RAF, Molfetta FA de, Silva ABF da. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds [Internet]. Chemical Biology & Drug Design. 2010 ; 75( 6): 632-640.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1111/j.1747-0285.2010.00966.x -
Vancouver
Honório KM, Lima EF de, Quiles MG, Romero RAF, Molfetta FA de, Silva ABF da. Artificial neural networks and the study of the psychoactivity of Cannabinoid compounds [Internet]. Chemical Biology & Drug Design. 2010 ; 75( 6): 632-640.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1111/j.1747-0285.2010.00966.x - New consensus multivariate models based on PLS and ANN studies of sigma-1 receptor antagonists
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Informações sobre o DOI: 10.1111/j.1747-0285.2010.00966.x (Fonte: oaDOI API)
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