Drug design of new 5-HT6R antagonists aided by artificial neural networks (2021)
- Authors:
- USP affiliated authors: SILVA, ALBÉRICO BORGES FERREIRA DA - IQSC ; HONORIO, KÁTHIA MARIA - EACH ; SILVA, ALDINEIA PEREIRA DA - IQSC ; CHIARI, LAISE PELLEGRINI ALENCAR - IQSC ; GUIMARÃES, AMANDA RIBEIRO - IQSC
- Unidades: IQSC; EACH
- DOI: 10.1016/j.jmgm.2021.107844
- Subjects: DOENÇA DE ALZHEIMER; HALOGÊNIOS
- Keywords: 5-HT6 receptor; Drug-design; Molecular modeling; ANN
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Philadelphia
- Date published: 2021
- Source:
- Título: Journal of Molecular Graphics and Modelling
- ISSN: 1093-3263
- Volume/Número/Paginação/Ano: v. 104, 107844, Jan 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, Aldineia Pereira da et al. Drug design of new 5-HT6R antagonists aided by artificial neural networks. Journal of Molecular Graphics and Modelling, v. 104, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.jmgm.2021.107844. Acesso em: 28 dez. 2025. -
APA
Silva, A. P. da, Chiari, L. P. A., Guimaraes, A. R., Honório, K. M., & Silva, A. B. F. da. (2021). Drug design of new 5-HT6R antagonists aided by artificial neural networks. Journal of Molecular Graphics and Modelling, 104. doi:10.1016/j.jmgm.2021.107844 -
NLM
Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. Drug design of new 5-HT6R antagonists aided by artificial neural networks [Internet]. Journal of Molecular Graphics and Modelling. 2021 ; 104[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844 -
Vancouver
Silva AP da, Chiari LPA, Guimaraes AR, Honório KM, Silva ABF da. Drug design of new 5-HT6R antagonists aided by artificial neural networks [Internet]. Journal of Molecular Graphics and Modelling. 2021 ; 104[citado 2025 dez. 28 ] Available from: https://doi.org/10.1016/j.jmgm.2021.107844 - New D2R partial agonist candidates:: an in silico approach from statistical models, molecular docking, and ADME/Tox propertie
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Informações sobre o DOI: 10.1016/j.jmgm.2021.107844 (Fonte: oaDOI API)
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