A QSAR study of some cyclobutenediones as CCR1 antagonists by artificial neural networks based on principal component analysis

BACKGROUND AND PURPOSE OF THE STUDY: A quantitative structure activity relationship (QSAR) model based on artificial neural networks (ANN) was developed to study the activities of 29 derivatives of 3-amino-4-(2-(2-(4-benzylpiperazin-1-yl)-2-oxoethoxy) phenylamino) cyclobutenedione as C-C chemokine r...

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Detalles Bibliográficos
Autores principales: Shahlaei, M, Fassihi, A, Saghaie, L, Arkan, E, Pourhossein, A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2011
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304395/
https://www.ncbi.nlm.nih.gov/pubmed/22615684

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3304395/
https://www.ncbi.nlm.nih.gov/pubmed/22615684

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