A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents (2021)
- Authors:
- USP affiliated authors: HONORIO, KÁTHIA MARIA - EACH ; SILVA, ALBÉRICO BORGES FERREIRA DA - IQSC ; SANTOS, GÊNISSON DOS REIS - IQSC ; CHIARI, LAISE PELLEGRINI ALENCAR - IQSC ; SILVA, ALDINEIA PEREIRA DA - IQSC ; LIPINSKI, CÉLIO FERNANDO - IQSC ; OLIVEIRA, ALINE ALVES - IQSC
- Unidades: EACH; IQSC
- DOI: 10.1007/s00894-021-04906-x
- Subjects: DEPRESSÃO; ANTIDEPRESSIVOS
- Keywords: ANN; PLS; 5-HT2a receptor; Drug design
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2021
- Source:
- Título do periódico: Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods
- ISSN: 1610-2940
- Volume/Número/Paginação/Ano: p.297, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SANTOS, Genisson R. et al. A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods, p. 297, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00894-021-04906-x. Acesso em: 24 abr. 2024. -
APA
Santos, G. R., Chiari, L. P. A., Silva, A. P. da, Lipinski, C. F., Oliveira, A. A., Honório, K. M., et al. (2021). A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods, 297. doi:10.1007/s00894-021-04906-x -
NLM
Santos GR, Chiari LPA, Silva AP da, Lipinski CF, Oliveira AA, Honório KM, Sousa AG de, Silva ABF da. A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents [Internet]. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods. 2021 ;297.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s00894-021-04906-x -
Vancouver
Santos GR, Chiari LPA, Silva AP da, Lipinski CF, Oliveira AA, Honório KM, Sousa AG de, Silva ABF da. A partial least squares and artifcial neural network study for a series of arylpiperazines as antidepressant agents [Internet]. Journal of Molecular Modeling: computational chemistry - life science - advanced materials - new methods. 2021 ;297.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/s00894-021-04906-x - Drug design of new sigma-1 antagonists against neuropathic pain: A QSAR study using partial least squares and artificial neural networks
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Informações sobre o DOI: 10.1007/s00894-021-04906-x (Fonte: oaDOI API)
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