Sousa, Daniel da Silva de 
; Silva, Aldineia Pereira da ; Chiari, Laise Pellegrini Alencar ; Angelo, Rafaela M. de; Sousa, Alexsandro G. de; Honorio, Kathia Maria ; Silva, Alberico Borges Ferreira da
Fonte: Journal of Molecular Modeling. Unidades: EACH, IQSC
Assuntos: DOENÇA DE ALZHEIMER, ANTAGONISTAS
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SOUSA, Daniel da Silva de et al. Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease. Journal of Molecular Modeling, v. 30, p. 350, 2024Tradução . . Disponível em: https://doi.org/10.1007/s00894-024-06134-5. Acesso em: 08 nov. 2025.APA
Sousa, D. da S. de, Silva, A. P. da, Chiari, L. P. A., Angelo, R. M. de, Sousa, A. G. de, Honorio, K. M., & Silva, A. B. F. da. (2024). Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease. Journal of Molecular Modeling, 30, 350. doi:10.1007/s00894-024-06134-5NLM
Sousa D da S de, Silva AP da, Chiari LPA, Angelo RM de, Sousa AG de, Honorio KM, Silva ABF da. Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease [Internet]. Journal of Molecular Modeling. 2024 ;30 350.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s00894-024-06134-5Vancouver
Sousa D da S de, Silva AP da, Chiari LPA, Angelo RM de, Sousa AG de, Honorio KM, Silva ABF da. Predicting biological activity and design of 5-HT6 antagonists through assessment of ANN-QSAR models in the context of Alzheimer’s disease [Internet]. Journal of Molecular Modeling. 2024 ;30 350.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/s00894-024-06134-5
